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Transcript of Meta Analisis Cigarro Implante
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Smoking interferes with theprognosis of dental implanttreatment: a systematic reviewand meta-analysis
Strietzel FP, Reichart PA, Kale A, Kulkarni M, Wegner B, Kuchler I. Smoking interferes
with the prognosis of dental implant treatment: a systematic review and meta-analysis.J Clin Periodontol 2007; 34: 523544. doi: 10.1111/j.1600-051X.2007.01083.x.
Abstract
Aim: This systematic literature review was performed to investigate if smokinginterferes with the prognosis of implants with and without accompanyingaugmentation procedures compared with non-smokers.
Methods: A systematic electronic and handsearch (articles published between 1989and 2005; English and German language; search terms dental or oral implantsand smoking; dental or oral implants and tobacco) was performed to identifypublications providing numbers of failed implants, related to the numbers of smokersand non-smokers for meta-analysis. Publications providing statistically examined dataof implant failures or biologic complications among smokers compared with non-smokers were included for systematic review.
Results: Of 139 publications identified, 29 were considered for meta-analysis and 35for systematic review. Meta-analysis revealed a significantly enhanced risk for implantfailure among smokers [implant-related odds ratio (OR) 2.25, confidence interval(CI95%) 1.962.59; patient-related OR 2.64; CI95% 1.704.09] compared with non-smokers, and for smokers receiving implants with accompanying augmentationprocedures (OR 3.61; CI95% 2.265.77, implant related). The systematic reviewindicated significantly enhanced risks of biologic complications among smokers. Fivestudies revealed no significant impact of smoking on prognosis of implants withparticle-blasted, acid-etched or anodic oxidized surfaces.
Conclusion: Smoking is a significant risk factor for dental implant therapy andaugmentation procedures accompanying implantations.
Key words: dental implants; meta-analysis;odds ratio; smoking; success rate; survival rate
Accepted for publication 18 February 2007
Conflict of interest and source offunding statement
The authors declare that they have noconflict of interest.None of the authors received any benefit ofany kind from commercial or official par-ties related directly or indirectly to thesubject matter of this article. No grant orfunding from any party was received toprepare or perform this work.
Frank Peter Strietzel1
, Peter A.Reichart1, Abhijit Kale2, Milind
Kulkarni2, Brigitte Wegner3 and
Ingeborg Kuchler3
1Department of Oral Surgery and Dental
Radiology, Campus Virchow Clinic, Centre
for Dental Medicine, Charite Medical
University Berlin, Berlin, Germany ; 2Clinic
of General and Restorative Dentistry and
Dental Implantology, Maharashtra Medical
Foundations Joshi Hospital, Pune, India;3Campus ChariteMitte, Institute for Biometry
and Clinical Epidemiology, Charite Medical
University Berlin, Berlin, Germany
Smoking was shown to be a primary risk
factor for general health, responsible formany serious diseases, as for 90% of alllung cancers, 70% of chronic lung dis-
eases, 80% of myocardial infarctions
before the age of 50, and 30% of chronicischaemic heart diseases and strokes(Fielding 1985, La Veccia et al. 1991,Peto et al. 1996). Currently, there are anestimated 1.3 billion smokers world-wide, and 4.9 million people die fromtobacco smoking-related diseases peryear (WHO 2005).
Besides the prominent role of healthprofessionals to play in tobacco controland smoking cessation generally, certainaspects concerning current dental ther-apy should be considered in smokers forthorough patient information before oral
surgical procedures and implant therapy
planning. The increased risk of woundhealing complications (Meechan et al.1988, Miller 1988, Jones & Triplett1992, Sands et al. 1993) as well as therisk of peri-implant bone loss andincreased implant failure rates (Haaset al. 1996, Lindquist et al. 1996, Lem-ons et al. 1997) have to be emphasized.Impaired wound healing has to beexpected due to less collagen production(Jorgensen et al. 1998), reduced periph-eral blood circulation (Lehr 2000) andcompromised function of polymorpho-nuclear leucocytes and macrophages
J Clin Periodontol 2007; 34: 523544 doi: 10.1111/j.1600-051X.2007.01083.x
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(Kenney et al. 1977, MacFarlane et al.1992). Moreover, smoking was indi-cated a significant subject-based riskfactor for periodontitis by recently pub-lished literature reviews (Palmer et al.2005, Ramseier 2005). Although notcompletely investigated, the known
mechanisms of action of smoking onperiodontitis were found to be the long-term chronic effect due to impairing thevasculature of periodontal tissues andaffection of multiple functions of neu-trophils and inflammatory responseas well as impairment of fibroblasts(Palmer et al. 2005).
Therefore, identification of the smok-ing patient is required. Patient question-naires considering general health issues,but also asking for smoking habits andalcohol consumption, seem to be neces-sary, though not generally used as a
matter of routine yet (Reichart et al.2000).Thorough patient information about
the planned treatment course and theexpected outcomes, but also about risksand risk-associated factors is necessaryto support the patients decisionmaking before implant therapy (Striet-zel 2003). Therefore, a systematic ana-lysis of the literature focusing onexpected interactions between implantprognosis and smoking seemed to benecessary to provide quantitative factsincluding the likelihood of smoking-
associated risks for implant prognosisand outcomes after augmentation pro-cedures accompanying implant surgery,to support a risk analysis before therapy,and to substantiate the patient informa-tion.
This meta-analysis and systematicreview focused on the question, if thereis a significantly enhanced risk ofimplant failures in smokers comparedwith non-smokers. The influence ofsmoking on implants inserted withaccompanying augmentation procedureswas additionally investigated.
Material and Methods
Search strategy
A systematic literature search in electro-nic databases was conducted, using thefollowing search term combinations:dental implants AND smoking,dental implants AND tobacco,oral implants AND smoking andoral implants AND tobacco.
Furthermore, a manual search wasapplied to three German-language
peer-reviewed dental journals, focusingon articles related to the effect ofsmoking on dental implant treatmentoutcomes.
Inclusion criteria
Literature search was performed toidentify meta-analyses and systematicreviews as well as randomized-con-trolled clinical trials, prospective orretrospective clinical studies, cohort stu-dies or casecontrol studies.
Publications were included for meta-analysis or systematic review, if theywere published between January 1989and December 2005 in English languageand listed in electronic databases Med-line/Pubmed or Embase, or were pub-lished in German language in Deutsche
Zahnarztliche Zeitschrift (January
1968December 2005), Zeitschrift furZahnarztliche Implantologie (January1998December 2005) and Implantolo-gie (January 1996December 2005).
Publications were included for meta-analysis, if implant survival rates or thenumber of failed implants were reportedon an implant- or patient-related basisand the number of smoking as well asnon-smoking patients were publishedand could be related to the number offailed and remaining implants, respec-tively.
Moreover, publications were
included for systematic review althoughnot meeting the inclusion criteria formeta-analysis, if odds ratios (OR), riskratios (RR) or hazard ratios (HR) forimplant failures among smokers werereported, or reports on biologic compli-cations and findings known to influencethe success of implant-prosthetic ther-apy in smokers compared with non-smokers were given, and if the resultswere statistically analysed consideringthe effects of smoking on treatmentcourse or outcome.
As definition of smokers were differ-
ent in several studies regarding quanti-ties of smoked cigarettes per day andtherefore were accordingly categorizeddifferently, any patient who smoked wasconsidered a smoker, following the defi-nition given by Wallace (2000).
Selection of studies and data extraction
Titles and abstracts of the publicationsidentified by electronic databases andhandsearch using the search terms men-tioned above were screened initially bytwo independent reviewers (F. P. S. and
A. K. or M. K.). Publications wereincluded for full text evaluation if thestudy design and content of the abstractsmet the inclusion criteria and matchedthe focused question. Agreementbetween the reviewers was determinedperforming k-statistic. Disagreements
were resolved by evaluation of the fulltexts and discussion. Final authority forselection disagreements rested withF. P. S.
Full text assessment and data extrac-tion were performed by the reviewerswithout any disagreements. The processof identification of the included studiesfrom the initial yield is described inFig. 1.
A categorization considering theduration of the observation periodsreported in the studies identified formeta-analysis was performed addition-
ally (group 1: observation period 41year; group 2:41 and45 years; group3: 45 years).
Furthermore, studies involvingimplant-prosthetic rehabilitation afteraugmentation procedures to enhancebone quantity at the implant site [sinusfloor elevation and augmentation(SFEA) and/or lateral alveolar ridgeaugmentation by guided bone regenera-tion (GBR)] providing survival data ofimplants were considered for meta-analysis to evaluate the risk of smokingconcerning augmentation procedures.
The frequency and percentage distri-bution of smokers and non-smokersregarding the frequency of implant suc-cess or failure were extracted from thestudies included for meta-analysis.Furthermore, the distributions of maleand female patients, and of implants inthe maxilla and mandible with specialrespect to the groups regarding differentobservation periods were considered.
To rule out the cumulation of indivi-dual risks, studies publishing patient-related data were considered separatelyfrom those reporting implant-related
data for meta-analysis.Considering studies publishing
implant-related data, implants were con-sidered failures if they failed to osseoin-tegrate (Balshi & Wolfinger 1999,Grunder et al. 1999, Keller et al. 1999,Kronstrom et al. 2001, Mayfield et al.2001, Kumar et al. 2002, van Steen-berghe et al. 2002), were lost orremoved for any reason (Bain & Moy1993, De Bruyn & Collaert 1994, Bain1996, Minsk & Polson 1998, De Bruynet al. 1999, Jones et al. 1999, Berge &Grnningsaeter 2000, Lambert et al.
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2000, Olson et al. 2000a,b, Schwartz-Arad et al. 2000, Geurs et al. 2001,Widmark et al. 2001, Ortorp & Jemt2002, Penarrocha et al. 2002, Schwartz-Arad et al. 2002, Beschnidt et al. 2003,van Steenberghe et al. 2004, Moheng &Feryn 2005) or exceeded more than 50%bone loss (Bain & Moy 1993, Bain1996) or more than 4 mm of verticalbone defect (Berge & Grnningsaeter2000), if they failed one or more of the
criteria proposed by Smith & Zarb(1989) (Kan et al. 2002), revealed mobi-lity (without having removed implantprostheses for individual implant mobi-lity test), persistent pain, peri-implantradiolucency and/or infections attributa-ble to the implant (Gorman et al. 1994,Wallace 2000), or if they showed biolo-gic complications (peri-implantitis)(Karoussis et al. 2003).
Considering publications providingwith patient-related data, the treatmentof one patient was accounted as failureif one or more implants were considered
a failure due to the above-mentionedcriteria.
Excluded studies
Publications were excluded if they didnot meet the inclusion criteria (i.e. ifthey were considered case reports, ani-mal or in vitro experiments, educationalstatements, expert opinions), if they didnot provide implant- or patient-related
data on failures or complications inimplant treatment related to the smokinghabit, or if they did not contain materialmatching the focused question.Excluded studies and the reasons forexclusion are listed in the reference list.
Statistical analysis
A funnel plot of the log odds ratiosversus their SE was calculated to pre-vent a selected subset of studies, whichis widely accepted to detect potentialpublication bias when the actual treat-
ment effects of an intervention or theoutcomes after exposure to certain para-meters are homogeneous (Light &Pillemer 1984). Assuming that theunderlying true exposure effect in eachstudy is the same, a general non-para-metric fixed-effects selection model was
applied to the entire collection of theselected studies to estimate the extentand size of undetected reports (Hedges1992, Blettner & Schlattmann 2005).
Furthermore, a mixed random-effectsmodel was applied since deviations ofthe estimated effect sizes may also beexplained by a random error. Therefore,a mixed model for calculation of hetero-geneity was used to detect heterogeneitybetween the studies selected (Blettner &Schlattmann 2005).
For dichotomous parameters (smo-kers and non-smokers) and outcomes
(lost implants and successful implants),the estimate of the effect of the para-meter smoking was expressed as oddsratio (OR) together with the 95% con-fidence interval (CI95%) after perform-ing univariate analysis, utilizing the dataobtained from the studies providing withinformation about failed and successfulimplants related to smokers and non-smokers. According to the patient- orimplant-related data basis, the synthe-sized ORs were calculated separately.
As calculation of an OR is undefinedif one value of the cells of the cross table
is equal to zero, for the studies con-cerned, 0.5 was added to the values ofall cells as suggested by Gart & Zweifel(1967) and Fleiss (1981).
As sample sizes of the included stu-dies were different, the weighed meanvalues of the distributions of frequenciesand SD regarding smokers and non-smokers, male and female patients andimplants in the maxilla and mandiblewere calculated and compared.
Statistical calculations were per-formed using SPSS software version12.0 (SPSS Inc., Chicago, IL, USA)
and SAS software version 8.2 (SASInstitute Inc., Cary, NC, USA).
Results
Of the entire yield of 139 publicationsidentified with electronic and hand-search, 75 were finally excluded frommeta-analysis and systematic reviewafter full text assessment.
Information on failures as well assuccess proportions of implants amongsmokers and non-smokers on patient-related and/or implant-related basis
Handsearch
Result: 1 abstract
Final decision:
29 publications included for meta-analysis35 publications included for systematic review
Independent selection of abstracts:
Reviewer 1: 59 abstracts included Reviewer 2: 58 abstracts included80 abstracts excluded 81 abstracts excluded
agreement with 47 included and 70 excluded abstracts
score = 0.712
Full text assessment and discussion:
Reviewer 1: 60 publications included Reviewer 2: 59 publications included79 publications excluded 80 publications excluded
agreement with 57 included and 78 excluded publications
score = 0.985
Search with
electronic databases
Result: 138 abstracts
Fig.1 . Search strategy and results of identification and inclusion of publications considered
for meta-analysis and systematic review. The k-score expresses the agreement between thereviewers.
Smoking interferes with the prognosis of dental implant treatment 525
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were retrieved for meta-analysis from29 included studies. Of these, 15 wereprospective studies (three reportingpatient-related data, nine reportingimplant-related data and three reportingboth patient- and implant-related data)and 14 were retrospective studies (threereporting patient-related data, ninereporting implant-related data and tworeporting both patient- and implant-related data).
Furthermore, 35 studies wereincluded for systematic review, report-ing on implant failures or biologiccomplications or findings known tonegatively influence the success ofimplant-prosthetic therapy and compli-cations in connection with augmentationprocedures, related to smoking habit. Ofthese 35 studies, one was a randomizedcontrolled trial, 11 were prospective and21 retrospective studies. Additionally,one meta-analysis and one systematicreview were included.
The risk of implant failures in smokers
compared with non-smokers: Results
obtained from meta-analysis
First, the existence of publication biashad to be investigated. Figure 2a and bshow the funnel plots of the ORs by theinverse of the variances of each studyincluded for meta-analysis, calculatedon an implant-related as well aspatient-related basis. Assuming thateffects of smoking are homogeneous,no asymmetry indicating missing trialswas detected. Considering the implant-
related data obtained from the studiesincluded for meta-analysis, the slope ofthe regression line was 0.014 (CI95% 0.0480.020, p50.412), and forpatient-related data, the slope of theregression line was 0.084 (CI95% 0.5290.361, p50.682), revealingno significant differences of the slopeof regression lines from zero. Therefore,no publication bias was detected, andthe sample of the selected studies was
considered adequate for meta-analysis.The overview of the characteristics ofstudies included for meta-analysis isgiven in Table 1. The weighed meanvalues of frequencies distributions ofsmokers and non-smokers, gender andimplant sites among maxilla and mand-ible of the studies considered for meta-analysis are shown in Tables 24.
Analysis of studies providing implant-
related data
Implant-related data were obtained from
18 studies. Calculations of pooled riskby applying the fixed-effects modelwithout covariates on studies providingimplant-related data showed an OR of2.25 (CI95% 1.962.59), revealing evi-dence for a significant associationbetween smoking and implant failure.The test of heterogeneity of includedstudies yielded p50.013. Because ofthe heterogeneity further calculationsusing the mixed model taking intoaccount the random effects of the stu-dies on implant-related studies revealedan OR of 2.38 (CI95% 1.932.93).
Considering the groups of differentmean observation periods as covariates,the OR for implant failures in smokerscalculated from studies with a meanobservation period of up to 1 year(n58) was 2.83 (CI95% 2.083.85).An OR of 2.25 (CI95% 1.902.67) wascalculated from studies reporting dataregarding mean observation periodsbetween more than one up to 5 years(n513). The implant-related ORs after
observation periods after up to 1 year aswell as between 1 and 5 years revealed asignificantly enhanced risk of implantfailures in smokers and did not differsignificantly (p50.1892). The OR ofimplant failures in smokers of threestudies with a mean observation periodof more than 5 years was 1.33 (CI95%0.842.11), which showed no signifi-cantly enhanced risk for implant failuresin smokers. Considering both groups ofobservation periods of more than 1 yearcombined, the ORs calculated with themixed fixed-effects model with the cov-
ariate observation period were 2.83(CI95% 2.083.85) for studies with amean observation period up to 1 yearand 2.12 (CI95% 1.802.48) for a meanobservation period of more than 1 year,which were not significantly different(p50.0939).
Two studies reporting on implantswith surfaces microstructured with acidetching and/or particle blasting (Grun-der et al. 1999, Kumar et al. 2002), asummarized OR for implant failure insmokers of 1.49 (CI95% 0.643.46) wascalculated, considering implant-related
60.0050.0040.0030.0020.0010.000.00
weighting factor (1/variance) weighting factor (1/variance)
5.00
4.00
4.00
3.00
3.00
2.00
2.00
1.00
1.00
0.00
0.00
1.00
1.00
2.00
logo
dds
ra
tio
logo
dds
ra
tio
8.006.004.002.000.00
Fig.2. (a) Funnel plot of the log OR calculated for studies providing implant-related data (
n524). (b) Funnel plot of the log OR calculatedfor studies providing patient-related data (n512).
526 Strietzel et al.
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Table1
.Character
isticsofstud
ies
include
dformeta-analys
is
Stu
dy
Implantcharacterist
ics
Stu
dydesign
Smokers
Non-s
mokers
Samplesizes
Impl.successful
Fai
lure
Impl
.successful
F
ailure
Group1:meanobservationperiodperiod
41year
Bain
(1996)
Mac
hine
dtitanium
,threadedn
Prospect.
38
9
166
1
0
223implants
78patients
Balsh
i&Wol
finger
(1999)
Mac
hine
dtitanium
,threadedn
Retrospect.
1P
1P
27P
5
P
227implants
34patients
w
De
Bruyn
&Col
laert
(1994)
Mac
hine
dtitanium
,threadedn
Retrospect.
max
illa
man
dible
7111P
3610P
7 5P
0 0P
163
43P
171
45P
3 2
P
1 1
P
244implants
61patients
208implants
56patients
Gormanetal
.(1994)
Notreporte
d
Retrospect.
604
64P
4218P
1373
208P
4
7
2
0P
2066implants
310patients
Kronstrometal
.(2001)
Mac
hine
dtitanium
,threadedn
Retrospect.
3P
9P
37P
3
1P
80patients
Kumaretal
.(2002)
Large-gr
itblaste
dan
d
acid
-etc
hed,threaded
Prospect.
261
8
899
1
5
1183implants
461patients
Schwartz-A
radetal
.(2000)
Mac
hine
dtitanium
,threadedan
d
HA-coated
,threadedan
dcy
lindric
Retrospect.
5
1
45
5
56implants
z
43patients
van
Steen
berg
heetal
.(2002)
Mac
hine
dtitan
ium
,threadedn
Prospect.
148
8
1088
1
9
1263implants
399patients
van
Steen
berg
heetal
.(2004)
Mac
hine
dtitanium
,threadedn
Prospect.
immed
iate
load
ing
(Brane-m
arknovum
),man
dible
11P
2P
28P
4
P
150implants
45patients
Widmar
ketal
.(2001)
Mac
hine
dtitanium
,threadedn
Prospect.max
illa
,SFEAgrafte
d
sitesnon-gra
fted
416 35
26179
117
7047
1
4
8 6
198implants
43patients
101implants
97implants
Group2:meanobservation
period41and45years
Bain
&Moy
(1993)
Mac
hine
dtitanium
,threadedn
Prospect.
346
44
1718
8
6
2194implants
540patients
Berge
&Grnn
ingsaeter
(2000)
Ceram
icimplants
,threaded
Prospect.
40
21
48
7
116implants
30patients
Beschni
dtetal
.(2003)
Mac
hine
dtitanium
,threadedn
Prospect.
47
4
152
1
1
214implants
76patients
Geursetal
.(2001)
Notreporte
d
Retrospect.max
illa
,SFEA
55
7
266
1
3
341implants
Grunderetal
.(1999)
Aci
d-etc
hedtitanium
,threaded
Prospect.
55
0
161
3
219implants
74patients
Jonesetal
.(1999)
Cyl
indrica
lHA
-or
TPS
-coated
implants
Prospect.
115
12P
117P
212
42P
5 2
P
343implants
63patients
Kanetal
.(2002)
HA
-coatedthreadedan
dnon-threaded
,titanium
Retrospect.max
illa
,SFEA
58
12
147
1
1
228implants
60patients
Kel
leretal
.(1999)
Mac
hine
dtitanium
,threadedn
Retrospect.max
illa
,SFEA
13
4
106
1
6
Smoking interferes with the prognosis of dental implant treatment 527
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Table1
.(Contd
.)
Stu
dy
Implantcharacterist
ics
Stu
dydesign
Smokers
Non-s
mokers
Samplesizes
Impl.successful
Fai
lure
Impl
.successful
F
ailure
139implants
37patients
Lam
bertetal
.(2000)
Notreported
Retrospect.
874
85
1813
1
15
2887implants
May
fiel
detal
.(2001)
TPS-coate
dan
dmac
hinedtitanium
,
threadedan
dcy
lindric
Prospect.
SFEA,
GBR
6 1P
7 2P
2612P
0 0
P
39implants
15patients
Moheng
&Feryn
(2005)
Cyl
indrica
lTPScoated
,an
dpart
icle
-blasted
threaded
implants
Prospect.
11P
4P
75P
3
P
93patients
Olsonetal
.(2000a)
HA
-coatedan
dnon-c
oate
dtitanium
,
threadedan
dcy
lindric
Retrospect.max
illa
,SFEA
48
3
65
0
116implants
36patients
Ortorp
&Jemt
(2002)
Mac
hine
dtitanium
,threadedn
Prospect.
33P
10P
78P
5
P
729implants
126patients
Penarrochaetal
.(2002)
TPS-coate
d,threaded
Retrospect.
27P
7P
70P
1
0P
441implants
114patients
Schwartz-A
radetal
.(2002)
Notreported
Retrospect.
175
205
402
1
77
959implants
261patients
Wal
lace
(2000)
Mac
hine
dtitanium
,threadedn
Retrospect.
60
12
107
8
187implants
56patients
Group
3:meanobservat
ion
period45years
De
Bruynetal
.(1999)
Microtexturean
dHA
-coate
d,threaded
Prospect.max
illa
248P
6 2P
237P
9 6
P
62implants
23patients
Karouss
isetal
.(2003)
TPS-coate
dhollowscrews
Prospect.
26
2
81
3
112implants
53patients
Minsk
&Polson
(1998)
Notreported
Retrospect.
HRTz
non-
HRTz
269
1698
266 6
908
47253
6
0
2 2
2
1263imp
lants
116patients
z
71HRT
379non-
HRT
nBranemarkfixturesorrelatedimplanttype
s.
wAllpatientssufferedfromdiabetesmellitus.
zImmediateimplants.
Biologiccomplicationsconsideredfailure(spontaneousimplantexposure,
requiringorn
otrequiringsurgicalinterventionorcomplete
implantfailure).
zFemalepatientsabovetheageof50years,
dividedintotwogroups:patientsreceivingp
ostmenopausalhormonereplacementtherapy
(HRT)andpatientsnon-receivingHRT(non-H
RT).
P,
patient-relateddata;HA-coated
,hydroxy
apatite-coated;TPS-coated,titaniumplasmas
pray-coated;Prospect.,
prospectivestudies;R
etrospect.,
retrospectivestudies.
SFEAimplantsinsertedinconjunctionwith
sinusfloorelevationandaugmentation.
GBRimplantsinsertedinconjunctionwith
bonedefectaugmentationbyguidedbonereg
eneration.
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data and observation periods of 6 and 34months, respectively. After second stagesurgery and prosthetic loading, noimplant failure was noted (Grunderet al. 1999).
Table 5 shows the ORs and CI95% ofthe studies reporting implant-related data.
Data of studies reporting on implantsinserted with accompanying augmenta-tion procedures are not included here.
Analysis of studies providing patient-
related data
Patient-related data were obtained fromten studies. Calculations of pooled riskby applying the fixed-effects modelwithout covariates on studies providingpatient-related data showed an OR of2.64 (CI95% 1.704.09). Test of hetero-geneity of included studies yielded
p5
0.07, revealing no heterogeneity ofincluded studies.Table 6 shows the ORs and CI95% of
the studies reporting patient-related data.Data of studies reporting on implantsinserted with accompanying augmenta-tion procedures are not included here.
Analysis of studies considering
augmentation procedures
Considering studies providing implant-related data for implant treatment withaccompanying augmentation procedures
as covariate, the calculation using themixed effects model procedure revealedan OR of 2.15 (CI95% 1.862.49) forimplant failures in smokers withoutaugmentation procedures (n518 stu-dies), and an OR of 3.61 (CI95% 2.265.77) for implant failures in smokersundergoing augmentation procedures(n56 studies), which was significantlydifferent (p50.039).
Although in three studies at most atendency (Geurs et al. 2001) or nosignificant associations were foundbetween smoking and enhanced fre-
quency of implant failures in augmentedsites (Keller et al. 1999, Olson et al.2000a,b), three studies showed a sig-nificantly enhanced risk of implant lossin augmented sites in smokers, whichclearly exceeded the ORs for implantfailures calculated for smokers withoutaccompanying augmentation procedures(Mayfield et al. 2001, Widmark et al.2001, Kan et al. 2002).
Only one study provided patient-related data allowing for calculation ofthe OR for implant failures in smokersundergoing augmentation procedures.T
able2
.Weighedmeanva
lues
(WMV)an
dstan
dard
dev
iations
(SD)ofpercentage
distri
butionsofsmokers
(S)an
dnon-smokers
(NS)cons
ider
ing
differentobservat
ionper
iods(group
1:observat
ion
period41year;group
2:4
1an
d45years;group
3:45years
)an
dstud
iescons
idered
Observationperiod
Implant-re
late
d
Pat
ient-r
elated
WMV(%)
SD(%)
WMV(%)
SD(%)
Group
1
S24
.0
S20
.1
1.22
NS76
.0
0.58
NS79
.9
Bain
(1996),
De
Bruyn
&Col
laert
(1994)
,
Gormaneta
l.(1994),Kumaretal
.(2002),
Schwartz-Ar
adetal
.(2000),van
Steen
berg
heetal
.(2002)
,
Widmar
ketal
.(2001)
B
alsh
i&Wol
finger
(1999)
,
D
eBruyn
&Col
laert
(1994)
,
G
ormanetal
.(1994),Kronstrometal
.(2001),
K
umaretal
.(2002)
,van
Steen
bergheetal
.(2004),
W
idmar
ketal
.(2001)
Group
2
S28
.3
0.51
S30
.4
1.60
NS71
.4
NS69
.3
Bain
&Moy
(1993)
,Beschni
dtetal
.(2003),Geursetal
.(2001)
,
Grun
dereta
l.(1999),Jonesetal
.(1999),Kanetal
.(200
2),
Kel
leretal.
(1999)
,Lam
bertetal
.(2000),May
fiel
deta
l.(2001)
,
Olsonetal.
(2000a),Schwartz-A
radetal
.(2002)
,Wallac
e(2000)
B
erge
&Grnn
ingsaeter
(2000),
G
runderetal
.(1999)
,Jonesetal
.(1999),
M
ayfiel
detal
.(2001)
,Moheng
&Feryn
(200
5),
O
rtorp
&Jemt
(2002),Penarrochaetal
.(2002)
,
S
chwartz-A
radetal
.(2002)
,Wal
lace
(2000)
Group
3
S24
.6
1.14
S28
.9
5.20
NS75
.4
NS71
.1
De
Bruynet
al.
(1999),Karouss
isetal
.(2003),Minsk
&
Polson
(1998)
D
eBruynetal
.(1999)
,Karouss
isetal
.(2003
)
Smoking interferes with the prognosis of dental implant treatment 529
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Table 7 shows ORs and CI95% calcu-lated from studies reporting implant- orpatient-related data, including augmen-tation procedures.
Results obtained from the systematic
literature review
Implant failure
Five studies reporting on RR or HR forimplant failures in smokers, amongthem one study reporting on HR forimplant failures among smokers afteraugmentation procedures are listed inTable 8. Apart from one study consider-ing a 10-months observation period(Eckert et al. 2001), for smokers, theRR or HR for implant failures with or
without augmentation procedures werereported significantly enhanced.
Furthermore, three studies reportedon significantly enhanced implant fail-ure frequencies in smokers, comparedwith non-smokers. In contrast, one study(Lemmerman & Lemmerman 2005) andone meta-analysis (Bain et al. 2002)including implants with recently intro-duced implant surfaces microstructuredby acid-etching, revealed no significantinfluence of smoking on implant failurefrequency (Table 9).
The risk of peri-implant inflammation
Soft tissue and inflammatory peri-implant complications associated with
current tobacco smoking were assessedby five retrospective and two prospec-tive studies, revealing an enhanced riskfor smokers to develop peri-implant softtissue complications. One prospectivestudy investigating the effect of smok-ing on implants in a small cohort of
periodontally compromised patientsshowed an enhanced risk of implantfailures in smokers (Leonhardt et al.2003) (Table 10).
The risk of peri-implant bone loss
Thirteen studies focused on radio-graphic assessment of peri-implantbone loss. In 11 studies, a significantlyenhanced marginal bone loss was foundin smokers, compared with non-smo-kers, including two studies investigatingthe effect of smoking on marginal bone
loss around implants in patients under-going a periodontitis or peri-implantitistreatment.
Two studies considered implants withmicrostructured surfaces conditioned byparticle blasting and/or acid-etching oranodic oxidization. One of these studiesrevealed no significant differences ofmarginal bone loss around implants insmokers compared with non-smokers(Aalam & Nowzari 2005). In anotherstudy significantly more bone loss wasfound at implants in smokers with peri-apical radiographs, which was not repro-
ducible in panoramic radiographassessment, however (Penarrocha et al.2004) (Table 11).
Smoking as a risk factor for
augmentation procedures
Four retrospective studies consideredthe impact of smoking on the courseand outcome of horizontal and/or verti-cal augmentation procedures, SFEA andGBR for the treatment of alveolar ridgedefects before or simultaneously withimplantation. Although the augmenta-
tion methods and materials as well asbarrier materials used were different,three studies reported significantlymore failures and complications in smo-kers, compared with non-smokers. Thedefect filling in smokers was found lesscompared with non-smokers but showedno significant difference, however(Table 12).
In a systematic review smoking wasconfirmed as a significant risk factor forimplant failure in connection with SFEAprocedures (0.03opo0.05) (Strietzel2004).
Table 3. Weighed mean values (WMV) and standard deviations (SD) of percentage distributionsof female (F) and male patients (M) considering different observation periods (group 1:observation period 41 year; group 2:41 and 45 years) and studies considered
Observation period WMV (%) SD (%)
Group 1 F 57.0 1.80M 43.0
Balshi & Wolfinger (1999), De Bruyn &Collaert (1994), Schwartz-Arad et al. (2000),Kronstrom et al. (2001), van Steenberghe et al.(2002), van Steenberghe et al. (2004), Widmarket al. (2001)
Group 2 F 54.6 1.44M 45.3
Bain & Moy (1993), Berge & Grnningsaeter(2000), Beschnidt et al. (2003), Grunder et al.(1999), Jones et al. (1999), Kan et al. (2002),Keller et al. (1999), Mayfield et al. (2001),Moheng & Feryn (2005), Olson et al. (2000a),Penarrocha et al. (2002), [28-1]Wallace (2000)
Table 4. Weighed mean values (WMV) and standard deviations (SD) of percentage distributionsof implant sites (maxilla Mx; mandible Md) considering implant-related data and differentobservation periods (group 1: observation period41 year; group 2: 41 and45 years; group 3:45 years) and studies considered
Observation period WMV (%) SD (%)
Group 1 Mx 62.8 1.10Md 37.2
Balshi & Wolfinger (1999), De Bruyn &Collaert (1994), Kumar et al. (2002), Schwartz-Arad et al. (2000)
Group 2 Mx 51.0 0.62Md 49.0
Bain & Moy (1993), Beschnidt et al. (2003),Grunder et al. (1999), Jones et al. (1999),Lambert et al. (2000), Penarrocha et al. (2002),Wallace (2000)
Group 3 Mx 72.9Md 27.1
De Bruyn et al. (1999)
530 Strietzel et al.
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Discussion
Methods of evidence-based dentistryhave been introduced for optimizationof decision making processes in dentaldiagnostics and treatment, and for acomprehensive patient information in
preparation of diagnostic and therapeu-tic interventions, particularly beforeelective treatment. Therefore, patientsdecision making before implantpros-thetic rehabilitation should be supportedby information about risks and risk-associated factors.
This meta-analysis and systematicreview were performed to provide asummary of cumulative informationon smoking-associated risks for implantprognosis and outcomes after augmenta-tion procedures. Moreover, smokingreduction advice, given in conjunction
Table 5. Odds ratios (OR) and confidence intervals (CI95%) calculated from studies reporting implant-related data without consideration ofaugmentation procedures
nCalculated following the suggestion by Gart & Zweifel (1967) and Fleiss (1981).wFemale patients above the age of 50 years, divided into two groups: patients receiving postmenopausal hormone replacement therapy (HRT) and
patients non-receiving HRT (non-HRT).
Table 6. Odds ratios (OR) and confidence intervals (CI95%) calculated from studies reporting patient-related data without augmentation procedures
nCalculated following the suggestion by Gart & Zweifel (1967) and Fleiss (1981).
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with dental health information mayhave a marked effect on smokersattitude to their habit and providesufficient incentive to cut down oreven stop smoking as well (Macgregor1996).
Although tobacco smoking is widelyaccepted as a risk factor for oral healthgenerally (Sham et al. 2003), smokingwas considered a risk factor for implanttreatment since first publication on thisissue by Bain & Moy (1993). Never-theless, the impact of consideration ofthe patients status as a smoker or non-
smoker in implant treatment planningseems not to be controversial but indis-tinct. A national questionnaire to NHS-consultants to evaluate their attitudesconcerning relevant medical and oralfactors considered in patient selectionfor dental implant treatment in 1999revealed, that among others smokingwas one of the most important medicalfactors contra-indicating implant treat-ment (Butterworth et al. 2001).
A survey among Finnish dentistsevaluating the association of variouspatient characteristics or possible con-
tra-indications for dental implant treat-ment revealed, that significantly moredentists working in the public or privatesector recommended implant therapycompared with staff of dental schoolsin case of smoking patients (p50.002).Older dentists (4049 years) were foundmore in favour for implant therapy insmokers than were younger dentists(3039 years) (Heinikainen et al.2002). Estimating smoking as a riskfactor for treatment decisions thereforemight differ among dentists. Thisimpression seems to be confirmed by
different attempts made to quantify theamount of smoked cigarettes per day:some studies included for meta-analysisand systematic review considered apatient a smoker regardless quantity ofsmoked cigarettes per day or quality oftobacco smoking (Bain & Moy 1993, DeBruyn & Collaert 1994, De Bruyn et al.1999, Jones et al. 1999, Geurs et al.2001). In other studies light and heavysmokers were distincted by quantifica-tion: patients smoking up to 10 cigar-ettes per day (Schwartz-Arad et al.2002) or less than 20 cigarettes per
day (Gruica et al. 2004) were consideredlight smokers, whereas patients smoking10 (Schwartz-Arad et al. 2002) or 20cigarettes per day or more (Gruica et al.2004) were considered heavy smokers.As quantification of smoking was dif-ferent considering the included studies,in this meta-analysis and systematicreview, any patient who smoked wasconsidered a smoker according to Wal-lace (2000). In all included studies,patient questionnaires were used todetect the smoking status. The relativelyhigh reliability of patient self-reports of
smoking habits were shown in severalstudies (Fox et al. 1989, OLoughlinet al. 2002).
Treatment outcome evaluation criter-ia were different in several includedstudies. Besides calculation of differ-ences between cumulative success ratesor implant failure frequency betweensmokers and non-smokers, frequenciesof implant failures or biologic compli-cations were recorded. The risk ofoccurrence of implant failures for smok-ing patients was expressed as OR, cal-culated from studies included into meta-
analysis by the fixed-effects model aswell as the random-effects model, andcalculated for single studies on basis ofunivariate analysis.
Our meta-analysis revealed a signifi-cantly enhanced risk for implant failureamong smokers compared with non-smokers, expressed by synthesizedORs of 2.4 considering all includedstudies providing implant-related data,or 2.6 considering all included studiesproviding patient-related data. Compar-ing the implant-related ORs for implantfailure in smokers considering different
observation periods, the risk of implantfailure for smokers ranged from 2.8 afterup to 1 year decreasing to about 2.3 upto 5 years, indicating a higher risk ofearly implant failure. Nevertheless, therisk of implant failures among smokerswas found significantly enhanced evenafter 5 years considering the findings ofthe systematic review. Here, the effectsof smoking on the enhanced frequencyof peri-implant soft tissue complica-tions, limited peri-implantitis treatmentoutcomes and enhanced peri-implantbone loss, known as factors limiting
the long-term implant prognosis wereemphasized.
In an earlier literature review onstudies reporting on threaded implantswith a machined surface (Branemarktype fixtures) predominantly, consensushad been reached that smokinghas a negative influence on implantsurvival (Esposito et al. 1998). Findingsof our meta-analysis and systematicreview were obtained from studiesinvolving threaded titanium implantswith machined, TPS- or HA-coatedsurfaces predominantly, whereas
Table 7. Odds ratios (OR) and confidence intervals (CI95%) calculated from studies reporting implant- or patient-related data, includingaugmentation procedures
nSFEA.wLateral alveolar ridge augmentation/GBR).zCalculated following the suggestion by Gart & Zweifel (1967) and Fleiss (1981).
532 Strietzel et al.
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studies including implants withmicrostructured surfaces recently intro-duced (acid etched and/or particleblasted) meeting the inclusion criteriafor this meta-analysis were rarelypublished.
One study on wide diameter-threaded
machined titanium implants revealed anon-significant HR of 2.4 for implantfailure in smokers after a 10-monthsobservation period (Eckert et al. 2001).Apart from three more studies includedinto systematic review indicating a sig-nificantly enhanced risk of implant fail-ure for smokers (Wilson & Nunn 1999,Kourtis et al. 2004, Ortorp & Jemt2004), four studies (Grunder et al.1999, Kumar et al. 2002, Aalam &Nowzari 2005, Lemmerman & Lem-merman 2005) and one systematicreview (Bain et al. 2002) on implants
with acid-etched, particle-blasted oranodic oxidized surfaces, revealed noassociations between implant failuresand smoking nor significant differencesof implant failure frequencies amongsmokers and non-smokers, respectively.Furthermore, a comparison betweenthreaded implants with machined andanodic-oxidized surfaces showed no sig-nificant influence of smoking on implantfailures for implants with an anodic-oxidized surface (Rocci et al. 2003).Although smoking was shown to be asignificant risk factor within the limits
of this meta-analysis and systematicreview referring to studies reporting onimplants with machined or TPS-or HA-coated surfaces predominantly,future studies focusing on implant sur-face condition using acid etchingand/or particle blasting should be ana-lysed regarding influence of tobaccosmoking on early as well as long-term outcomes to allow for a moresubstantiated statement concerning thisissue.
Our findings considering the implant-related OR for implant failures in smo-
kers were similar to those published byHinode et al. (2006), who performed ameta-analysis on the influence of smok-ing on osseointegrated implants, basedon implant-related data. As earlierinvestigations revealed a within-patientdependence of implant success rates(Herrmann et al. 1999, 2003), patient-related ORs were calculated separatelyto exclude cumulative effects of indivi-dual risk factors. Compared with 18studies providing implant-related data,only five prospective and five retrospec-tive studies reported patient-related dataT
able8
.Character
isticsofstud
iesreportin
gontheriskof
implant
failures
,includedintothesystemat
icreview
Stu
dy
Implantsystem
Stu
dydesign
Meanobservat
ionperiod
HRORRR
CI95%
p
Samplesizes
Bae
lum
&Ellegaard
(2004)Threa
ded,TPS
-coate
dorpart
icle
-blasted
Retrospect.
4
6years
HR2.6n
0.9
7.6
o
0.05
258impla
nts:
man
dible:
57,
max
illa:
201
140patien
tsw
Chuangetal
.(2002b)
HA
-or
TPS-c
oate
dor
uncoated
/pass
ivated
screw-l
ikes
hapew
ithfins
Retrospect.
48years
HR2.9z
1.6
5.3
o
0.01
2349imp
lants:
man
dible:
934,max
illa:
1415
677patien
ts
Eckertetal
.(2001)
Mac
hine
dtitaniumthreaded
1,z
Retrospect.
10months
HR2.4n
Notreported
5
0.16
85implan
ts:
man
dible:
57,
max
illa:
28
55patients
Moyetal
.(2005)
Different;m
ost
implants
mac
hine
dtitanium
,threaded
Retrospect.
Notreported
,
implante
dbetween
1982an
d2003
RR1.56k
1.0
2.4
o
0.05
4680imp
lants:
man
dible:
2427
,max
illa:
2253
1140patie
nts
Augmentationofalveolarcrestwidthand/orheightorinternal
orexternalsinusfloorelevationandaugm
entation
Wooetal
.2004)
HA
-or
TPS-c
oate
doruncoated
/passivate
d
screw-l
ikes
hapew
ithfins
Retrospect.
48years
HR4.4nn
2.0
9.8
o
0.001
677impla
nts:
man
dible:
252,max
illa:
425
677patien
ts
(1implantcons
ideredperpat
ient
)
nCoxsproportionalhazardmodel.
nnMultivariateCoxmodel.
wPeriodontallycompromisedpatients.
zClusteredCoxsregressionanalysis
.
Branemarkfixturesorrelatedimplanttype
s.
zBranemarkMark-I
Iwideplatformandwid
ediameterimplantswereusedexclusively.
k
Univariateanalysis
.
HR
,hazardratio;RR
,riskratio;expressing
theriskofimplantfailuresamongsmokers,comparedwithnon-smokers.
Smoking interferes with the prognosis of dental implant treatment 533
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Table9
.Character
isticsofstud
iesreportingonthe
frequencyof
implant
failures
insm
okerscompare
dw
ithnon-smokers,
include
dintothesystemat
icreview
Stu
dy
Implantcharacterist
ics
Stu
dy
design
Meanobservat
ion
perio
d
Samplesizes
Eva
luat
ioncr
iter
ia,
stat
istics
,outcomes
p
Bainetal
.(2002)
Threaded
,mach
ined
titaniumn
or
acid
-etc
hed
w
imp
lants
Meta-analys
is60
.1mont
hsn
43.7
mont
hsw
3prospect
ivemu
lticenterstud
ies
(2609implantsn
in1013patients;
6prospect
ive
stud
ies
(2274imp
lants
w
in778patients
)
Imp
lantsurv
ival
Kap
lan-
Meiersurv
ivalanalys
is
3-year
CSR
Innon-smokers:
92.8
%nimp
lants
98.4
%wimplants;
Insmo
kers:
93.5
%nimp
lants
98.7
%wimplants
Nosign
ificant
differenceo
fimplant
surv
ivalwasobserved
betweensmok
ing
andnon-smok
ingpatients
Kourt
isetal
.(2004)
Cyl
indric
,TPS-c
oate
dor
threaded
,particle-
blaste
d
implants
Retrospective
4.6years
1692implants
in405pat
ients
(853implants
insmo
kers;
839implants
innon-s
mokers)
Fai
lure:
implantremovalor
loss
w2test
Signi
ficant
lyhigher
failurerate
insmo
kers
compare
dw
ithnon-s
mokers
o0.001
Lemmerman
&
Lemmerman
(2005)
Cyl
indric
,TPS-c
oate
dz;
threaded
,mac
hin
ed
titaniumn
andthreaded
,
acid
-etc
hed
w
imp
lants
Retrospective
5.3years
1003implants
in376pat
ients
146implants
z
348implantsn
655implants
w
Fai
lure:
implantremovalor
loss
ANOVA
Nocorrelat
ions
between
smok
ingan
dimplant
failures
5
0.945
Ortorp
&Jemt
(2004)
Threaded
,mach
ined
titanium
implants
RCT
5years
792implants
in126patients
Fai
lure:
imp
lantremovalor
loss
Life-ta
bleanalys
is
Signi
ficant
lyhigher
failurerate
insmo
kers
compare
dw
ithnon-s
mokers
pat
ient-r
elatedo0.01;
implant-re
late
do0.05
Wilson
&Nunn
(1999)Threaded
,TPS-c
oate
dor
mac
hine
dimplan
ts
Retrospective
Fai
ledimplants:
8months,
success-
fulimplan
ts:
3.2years
33failed
implants
in
27patients
68successfu
limp
lants
in38pat
ients
Fai
lure:
Imp
lant
lossor
50%bone
loss
RR2.5
(CI95%
1.13
5.5
5)
Log-r
anktest
Signi
ficant
lyhigher
failurerate
insmo
kers
compare
dw
ithnon-s
mokers
5
0.024
nBranemarkfixturesorrelatedthreadedtita
niumimplantswithamachinedsurface.
wThreadedtitaniumimplantswithanacid-e
tchedsurface.
zTPS-coatedcylindrictitaniumimplants.
RCT
,randomizedclinicaltrial;RR
,riskratio;expressingtheriskofimplantfailuresamongsmokers,comparedwithnon-smokers.CSR
,cumulativesurvivalrate.
534 Strietzel et al.
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without consideration of accompanyingaugmentation procedures and wereincluded into meta-analysis. Thepatient-related OR for implant failuresamong smokers was calculated 2.6 andwas found significantly enhanced,although three studies (De Bruyn et al.
1999, Penarrocha et al. 2002, van Steen-berghe et al. 2004) revealed no signifi-cantly enhanced ORs, and one study(Kronstrom et al. 2001) revealed a ten-dency of an enhanced OR for implantfailure. Nevertheless, this implicates,that even considering patient-relateddata, the risk of implant failures forsmokers should be considered criticallyin patient information.
Besides univariate analysis and con-sideration of implant failures in smokersin the meta-analysis, peri-implant para-meters as there are peri-implant mucosal
status or peri-implant bone level knownto be associated with the implant prog-nosis (Misch 1993, Buser et al. 1997,Roos et al. 1997, Sennerby & Roos1998, Schubert et al. 2001, Cochran etal. 2002) were included into the sys-tematic review concerning associationswith patients tobacco smoking status.The systematic review identified studiesinvestigating on peri-implant soft tissuesand the quality and components of theperi-implant crevicular fluid, revealing asignificantly enhanced risk for peri-implant inflammatory complications in
in periodontally compromised smokers(Table 10). Although these studiesfocused on single aspects and thereforethe supposed complex mechanisms ofsmoking side effects on the peri-implantsoft tissues might not be completelydiscovered, an enhanced risk for inflam-matory peri-implant complicationsmight be expected among others due to tobacco smoking-associatedvasoconstrictive effects at the end-arter-ial gingival vessels (Sham et al. 2003)and the significant decrease of neutro-phil elastase activity in smokers, which
might result in a reduced inflammatoryreaction in smokers (Ataoglu et al.2002). These effects seem to blur theinflammatory peri-implant reaction,whereas certain biomarkers for earlyperi-implant bone loss, as thereare pyridinoline (Oates et al. 2004) orb-glucuronidase levels (Schubert et al.2001) were found significantlyenhanced in peri-implantitis. Therefore,a regular and strict recall of smokersundergoing implant treatment is neces-sary for early detection of implant com-plications.T
able11
.(Contd
.)
Stu
dy
Implant
characterist
ics
Stu
dy
design
Meanobservat
ionperio
d
Samp
lesizes
Statist
ics,outcomes
p
Nitzanetal
.(2005)
Notreporte
d
Retrospective
42.9
months
forsmokers;
48.4months
fornon-smokers
646implants
in161patients
271implants
in59smokers;
375implants
in
102non-smokers
t-test
ANOVA
Signi
ficantly
highermean
bone
loss
aroun
dimplants
insmokers
bot
hin
the
max
illaan
dman
dible,compare
dwith
non-smokers
5
0.0
01
Penarrochaetal
.(2004)
San
d-blaste
d,large-gr
it,
acid
-etc
hed,
threaded
implants
Retrospective
1year
108implants
in42patients
47implants
in16smokers,
61implants
in26non-smo
kers
ANOVA
Assessmentofpanoram
icra
diograp
hs
showednosign
ificantassociat
ion
betweenmargina
lbone
lossan
dsm
oking
Per
iapica
lra
diographsrevealedapos
itive
linearassociat
ion
betweensmok
ing
andperi-i
mplant
bone
loss
o0
.01
Schwartz-A
radetal
.(2005a)
Notreporte
d
Retrospective
37.9
months
277implants
in61patients
50implants
ineigt
hsmokers;
227implants
in53non-smo
kers
w2test
Signi
ficantlymorecerv
ical
boneloss
at27of
50imp
lants
insmokersan
d
at54of
227implants
innon-smoke
rs
o0
.0001
Investigationsontheeffectofsmokingon
peri-implantbonelevel
inpatientsundergoingtreatmentofperiod
ontitisorperi-implantitis
Wennstrometal
.(2004a)
Particle-
blas
ted,threaded
titanium
imp
lants
Prospective
At
least1
year,
upto
5years
148implants
in51patients
137implants
in47patients
t-test
,multipleregressionmodels
Signi
ficantlyen
hanced
bone-l
evel
changearound
dental
implantsafter
a5
-yearsobservat
ionper
iodin
smo
kerscompare
dw
ithnon-smokers
5
0.0
22
Wennstrometal
.(2004b)
Particle-
blas
ted,
threadedtita
nium
implants
Prospective
5years
47patients
(15smokers,
32non-s
mokers)
Stepw
ise
backwar
dregressionanalys
is
Signi
ficantgreater
bone
loss
in
smo
kingpatientscompare
d
withnon-s
mokers
o0
.05
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Smoking was also found to have asignificant negative impact on the mar-ginal bone level at implants withmachined or TPS- or HA-coated sur-faces, which again was not confirmed bytwo studies on implants with particle-blasted and acid-etched (Penarrocha
et al. 2004) or dual acid-etched oranodic-oxidized surfaces (Aalam &Nowzari 2005), showing no associationbetween smoking and marginal boneloss. As shown for implant failure,microstructured implant surfaces seemto have positive influence on marginalbone level around implants in smokerswithin the limits of this literaturereview.
The impact of smoking on the out-come of SFEA and GBR seems rarelyreported considering the studies identi-fied within this literature search. This
might be due to the fact, that smoking isoften considered an exclusion criterionfor patient recruitment for prospectivestudies on SFEA or GBR procedures.Nevertheless, our meta-analysisrevealed a synthesized OR of about 3.6and, therefore a significantly enhancedrisk of implant failures for smokersundergoing augmentation procedures.These findings based on studies report-ing outcomes after SFEA and confirmedearlier findings from a systematicreview (Strietzel 2004). Two studies onGBR and ridge augmentation proce-
dures showed a significantly enhancedrisk of graft or barrier membrane expo-sures requiring partial or complete graftor membrane removal (Strietzel 2001,Schwartz-Arad et al. 2005b). A study onoutcomes after alveolar ridge defectaugmentation using deproteinizedbovine bone mineral for defect fillingand a porcine collagen membrane forGBR revealed a reduced defect filling insmokers, which was not significantlydifferent from non-smokers (Zitzmannet al. 1999). Whether the use of collagenmembranes significantly minimizes the
risk of negative treatment outcomes forGBR in smokers, was not confirmed dueto insufficient number of available stu-dies and data, respectively.
Reviews identified within this litera-ture search confirmed, that smoking isone of the factors related to implantfailure by reporting conclusions of sev-eral studies showing that smoking isassociated with higher failure rates,complications and altered peri-implanttissue conditions (Esposito et al. 1998,Sennerby & Roos 1998, Sham et al.2003, Wood & Vermilyea 2004). AnT
able12
.Character
isticsofstud
iesreport
ingonoutcomesofaugmentationprocedures
andGBRbeforeorsimultaneouslyw
ithimp
lantat
ion
insmokerscompare
dw
ithnon-sm
okers,
included
intothe
systemat
icreview
Stu
dy
Augmentatio
nproce
dure
Observat
ionpara
meters
Samplesizes
Statist
ics,outcomes
p
Lev
inetal
.(2004)
Autogenouson
layb
onegrafts
(OBG)n
,sinus
floor
elevat
ion
andaugmentation
(SFEA)nn
Fol
low-u
pat
least6
months
postsurgery
Compl
icat
ions:
graftexposureormo
bilityn;
swel
ling
,sinus
infectionnn
64OBGin56patients;
79SFEAin72patients
ANOVA;
Pearson
scorrelat
ioncoef
ficient
Compl
icat
ions
follow
ing
OBG
occurred
in1/3ofsmokersan
din7.7%ofnon-s
mokers.
Compl
icat
ions
follow
ing
SFEAoccurred
in
23.2
%
ofsmo
kersan
d6%o
fnon-s
mokers
5
0.04
Schwartz-A
rad
etal
.(2005b)
Autogenous
bone
blockgrafts
for
horizonta
lan
d/orve
rtical
ridgeaugmentation
before
implantation
nobarr
iermem
bran
es
Compl
icat
ions:
inflammatory
symptoms,
hematoma,swel
ling,
temporaryparesthesi
a
Fai
lures:
graftexposure
/remov
al
56patients
(11smokers)
,
64autogenous
bonegra
fts
w2test
Pearson
scorrelat
ioncoef
ficient
compl
icat
ions
in50%o
fsmokersan
din23%of
non-smokers
failures
in33%of
smokersan
din7.7%ofnon-smokers
5
0.04
Str
ietzel
(2001)
Bonesu
bstitutionm
ater
ialsw
ithor
withoutautogenous
bone
GBRw
ithnon-resorbab
lebarr
ier
mem
branes
(expand
ed
polytetrafluoro-e
thylene)
for
horizonta
lalveolarri
dge
defectaugmentation
Prematuremem
braneexposure
,
requ
iringmem
brane
removal
72patients
(19smokers)
,
72augmentationsites
w2test
Therisk
forprematuremem
brane
exposure
in
smokers
issign
ificantlyen
hanced
compare
dw
ithnon-smokers
5
0.04
Zitzmann
etal
.(1999)
Augmentationo
fho
rizontal
defects
(1-,
2-,
3-wal
ldefec
ts)around
implants
,us
ing
deproteinize
dbovin
ebone
mineralan
daporcineco
llagen
barr
iermem
branefor
GBR
Defectre
duct
ionafte
rre-e
ntry
75patients
(24smokers)
,
112implants
,
112augmentationsites
Wilcoxonstest
,w
2test
Themean
defectre
ductionat
implants
inserted
in
smokerswas
foun
dless
(82%)compare
dwith
non-smokers
(88%),but
didnot
differsigni
ficant
ly.
Smok
ingwasnot
foun
dto
besigni
ficant
lyassociated
withtreatmentsuccess
(OR0.51
,CI95%
0.211.28)
5
0.41
5
0.16
538 Strietzel et al.
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earlier review revealed a significantassociation between smoking and mar-ginal bone loss, biologic complications,reduced survival rate of implants(0.001opo0.05) and the outcome ofonlay bone grafts (po0.05) as well, butno significant correlation was found
between complications after SFEA andsmoking (Levin & Schwartz-Arad2005).
Besides the general suggestion to stopsmoking regarding a protocol suggested(Bain 1996) or to quit smoking conse-quently, the peri-operative use of anti-biotics (Gorman et al. 1994) as well asadditional local risk factors as for exam-ple the use of flat instead of high coverscrews should be considered in smokersto prevent postoperative and soft tissuecomplications (Schwartz-Arad et al.2002).
Moreover, individual peculiarities ofthe patients medical history might besupposed to confound or even enhancethe risk of implant failures attributableto smoking. Three studies were includedinto meta-analysis, although confound-ing parameters might be expected due toselected patient cohorts. Although Bal-shi & Wolfinger (1999) did not find asignificant influence of smoking onosseointegration in a population of dia-betic patients undergoing metaboliccontrol, a rate of 5.7% of non-osseointe-grated implants at time of second stage
surgery might indicate diabetes mellitusas a risk factor for osseointegration. Inpostmenopausal women undergoinghormone replacement therapy (HRT) toprevent osteoporosis (Minsk & Polson1998), a significant influence of smok-ing on the frequency of implant losswas found in contrast to patients notreceiving HRT as well as in theentire cohort. Thus, a detrimental inter-action between HRT and smoking wasconcluded. Besides smoking, hypothyr-eoidism was supposed to interfere withbone physiology even if correctly medi-
cally managed. Attard & Zarb (2002)found no significant differences inosseointegration between hypothyroidpatients and a matched healthy controlgroup, but hypothyroid patients showedsignificantly more soft tissue complica-tions during the postoperativecourse and significantly more marginalbone loss compared with the controlgroup.
Therefore, medical risk factorsshould be considered critically in con-text with a smoking history in decisionmaking before implant therapy.
In conclusion, smoking was identifieda significant risk factor for dentalimplant therapy. This should beaddressed thoroughly in patient infor-mation before implant treatment.
A strict recall regime throughout thewhole treatment course to early detect
negative changes of peri-implant tissuesor implant failure is necessary. Thisrequires identification of smokers at all.
As augmentation procedures com-prise enhanced potential risks of com-plications generally, smoking should beconsidered an additional risk and there-fore indication should be consideredcautiously and critically, evaluated incontext with additional risk factorsrevealed by medical history.
A limited number of studies availableon implants with sand-blasted, largegrit, acid-etched and/or acid-etched or
anodic-oxidized surfaces did not showsignificant associations between smok-ing and implant failure and marginalbone loss. Whether these implant sur-faces indeed significantly improve out-comes in smokers, has to be confirmedincluding more studies providing dataon implant failure in relation to smokersand non-smokers and by larger samplesizes as well.
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