Systematic Review: Concept and Tool Development with ......… systematic review is a scientific...

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Michele Taylor, Toxicologist National Center for Environmental Assessment Integrated Risk Information System Risk Assessment Specialty Section Society of Toxicology Webinar November 8, 2017 Office of Research and Development NCEA, IRIS Systematic Review: Concept and Tool Development with Application in the Integrated Risk Information System (IRIS) Assessment Process

Transcript of Systematic Review: Concept and Tool Development with ......… systematic review is a scientific...

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Michele Taylor, ToxicologistNational Center for Environmental AssessmentIntegrated Risk Information System

Risk Assessment Specialty Section Society of Toxicology WebinarNovember 8, 2017

Office of Research and DevelopmentNCEA, IRIS

Systematic Review: Concept and Tool Development with Application in the Integrated Risk Information System (IRIS) Assessment Process

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Disclaimer: The views expressed in this presentation are those of the author(s) and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Any mention of trade names, products, or services does not imply an endorsement by the U.S. Government or the U.S. Environmental Protection Agency. The EPA does not endorse any commercial products, services, or enterprises.

Office of Research and DevelopmentNCEA, IRIS

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New Leadership Structure in NCEA

•Tina Bahadori (NCEA Director)–Formerly the Director of ORD’s Chemical Safety for Sustainability National Research Program

–Significant experience in the chemical industry–Knowledge of TSCA, innovative applications of computational toxicology, and exposure science.

•Kris Thayer–Expertise in systematic review, automation, and chemical evaluations

–Focus on early partner and stakeholder engagement and input

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How is IRIS Focusing?

• Increase transparency and full implementation of systematic review

–implement using approaches that foster consistency across the IRIS program; many active and all new starts address ALL SR-related recommendations of 2014 NRC report

• Modernize the IRIS Program–through automation and machine learning to expedite systematic review, incorporation of emerging data types

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• Modularize product lines–implement a portfolio of chemical evaluation products that optimize the application of the best available science and technology. These products will allow IRIS to remain flexible and responsive to clients within the EPA as well the diverse collection of stakeholders beyond EPA, including states, tribal nations, and other federal agencies.

–Systematic review is ONE of several available tools in a chemical assessment portfolio

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How is IRIS Focusing?

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• Enhance accessibility–provide outreach and training to make systematic review practices ubiquitous and more accessible; enhance data sharing through publicly available software platforms for assessments developed by EPA, other federal and state agencies, industry, academia and other third-parties.

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How is IRIS Focusing?

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Next Generation IRIS•IRIS in the 21st Century – implement recommendations of the NAS 2017 report, Using 21st Century Science to Improve Risk-Related Evaluations;

•Collaborate with EPA’s National Center for Computational Toxicology (NCCT) to build expert-judgement case studies that inform assessment development and fill gaps in assessments, especially for data poor chemicals; inform where resources should be strategically invested to generate additional data.

Improved Management Practices•Create efficiencies – engage other agencies to share common practices, data, and tools, and more efficiently leverage resources across the federal government.

•Improve timeliness and responsiveness – deploy program and project management tools to more effectively and efficiently utilize human resources to ensure timely delivery of products. 6

Other IRIS Improvements

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Developing Agenda• Released to the public December 2015

• Survey EPA program and regional offices for their assessment needs

• Estimate the resources needed for each assessment by science discipline

• Discuss with senior EPA officials how to meet the most high-priority needs

• Allocation of IRIS resources based on the plan

• Evaluate annually for continued relevance

Group Chemicals

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Manganese

Mercury/methylmercury

Nitrate/nitrite

Perfluoroalkyl compounds

Vanadium and compounds

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Acetaldehyde

Ammonia (oral)

Cadmium and compounds

Uranium

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Di-(2-ethylhexyl) phthalate

Dichlorobenzene isomers

Methyl t-butyl ether (MTBE)

Nickel and compounds

Styrene7

IRIS Multi-Year Agenda

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A structured and documented process for transparent literature review1,2

“… systematic review is a scientific investigation that focuses on a specific question and uses explicit, pre-specified scientific methods to identify, select, assess, and summarize the findings of similar but separate studies. The goal of systematic review methods is to ensure that the review is complete, unbiased, reproducible, and transparent”

1 Procedures for Chemical Risk Evaluation Under the Amended Toxic Substances Control Act. EPA-HQ-OPPT-2016-0654. https://www.epa.gov/sites/production/files/2017-06/documents/prepubcopy_tsca_riskeval_final_rule_2017-06-22.pdf

2 Institute of Medicine. Finding What works in Health Care: Standards for Systematic Reviews. p.13-34. The National Academies Press. Washington, D.C. 2011

Systematic Review

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Scoping

Initial Problem Formulation

Literature Search

Literature Inventory

Preliminary Analysis

Plan

Study Evaluation

Organize Hazard Review

Data Extraction

Evidence Analysis and Synthesis

Evidence Integration

Select and Model Studies

Derive Toxicity Values

Systematic Review Protocol

Assessment Initiated

Assessment Developed

Systematic Review

Potential Uses for Systematic Review Methods

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“….one disadvantage in conducting a systematic review is that itcan be time and resource intensive, particularly for individualsthat have not previously conducted a systematic review.” [p.157]

“The committee discussed at length whether it could provide EPAwith advice about when a systematic review should beperformed but decided it could not be more specific because thatdecision will depend on the availability of data and resources,the anticipated actions, the time frame for decision making, andother factors.” [p.157]

“The committee also recognized that it might be advantageous forEPA to build on existing systematic reviews that are published inthe peer-reviewed literature.” [p.157]

“The committee recognizes that the methods and role ofsystematic review and meta-analysis in toxicology are evolvingrapidly and EPA will need to stay abreast of these developments,strive for transparency, and use appropriate methods to addressits questions.” [p.157]

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NAS (2017): Reflections and Lessons Learned from the Systematic Review

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Making Systematic Review (SR) Pragmatic and Feasible For IRIS

• Standard operating procedures, templates (draft assessment plans, chemical-specific protocols), and regular training

• Solicit early feedback during scoping and problem formulation via assessment plans

• Utilize iterative protocols to ensure communication on included studies and focus on best-available and most-informative evidence as the assessment progresses

• Multiple assessment products (“modularity”)

• Targeted focus, especially for evidence-rich topics–Make better use of existing assessments as starting point

• Use of specialized SR software applications/automation for efficiency11

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HEROLiterature searching, storage and documentation (tagging)

Available Tools within EPA-IRIS

Scoping

Problem Formulation

Literature Search

Literature Screening/Inventory

Analysis Plan

Study Evaluation

Organize Review

Data Extraction

Synthesis (mech., human, animal)

Within-stream

Conclusions

Evidence Integration

Select & Model Studies

Derive Quantitative

ValuesSystematic

Review Protocol

Chemical Assessment

Initiated

Draft Assessment Developed

SWIFT ReviewDoCTOR Machine learning for study sorting and prioritization (HERO-tagging)

DistillerSWIFT Active Multiple reviewer reference screening and tracking (HERO-tagging)

HAWCDRAGON Modular databases to track multiple reviewer evaluations

HAWCDRAGON Extracted data storage with varied graphical outputs

HAWC Evidence profile tables for concise display of evidence integration rationale

METAXL, Metafor Evaluation of heterogeneity or combined study results analysis

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Applying Tenants of SR Transparency to Rapid Response

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Opportunities for Engagement

• Input on current needs for multi-year agenda chemicals

• Training on approaches and software tools (either web-based or hands on)

• Provide input on IRIS assessment plans

• Engagement with IRIS chemical assessment team

• Additional discussion/case studies to illustrate tenants of transparency applied to non-SR assessments and rapid response

• Academic MOUs to help train next generation

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Demonstration of Available Tools for Problem Formulation and Efficient

Literature Screening

Office of Research and DevelopmentNCEA, IRIS

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• Purpose: Ensures that assessments meet the needs of EPA program and regional offices.

• Sample factors that can determine assessment scope:–What is the need of the program/region? –What routes of exposure are of most concern?–What form(s) of the compound are most relevant?–Do other chemicals routinely co-occur or are other chemicals co-

released?–Should a single assessment for a group of chemicals be developed?–What are typical durations of exposures of concern?

Scoping

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• Purpose: Identify potential health effects and science issues to be considered during assessment development

• Problem Formulation Approaches– Conduct broad, preliminary literature survey to identify health

effects or types of toxicity– Broadly categorize and summarize the literature database– Develop and release a Problem Formulation Document that

provides brief narrative summaries of health effects information and related issues

– Receive scientific and public input in response to Problem Formulation Document (“draft PECO document”)

Problem Formulation

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Purpose: Establish assessment-specific criteria that will be used for:– Literature search strategy– Literature screening strategy– Study evaluation strategy– Study results extraction– Evidence integration framework

Systematic Review Protocol

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Literature Search and Screening

Purpose: Identify the relevant studies for possible use in the assessment; document and categorize the search process and studies, respectively

–Identify core and supplemental databases• PubMed, Web of Science, Toxline

–Conduct/test search strategy for each database–Supplement literature search with additional strategies–Bin studies based on relevance to assessment (PECO)

• Study quality and results not considered in screening–Begin categorization into broad study domains

• e.g., human studies, ADME information; etc.

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PECOPopulation, Exposure, Comparison, and Outcome of Interest

Defines the evidence to be assembled

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Example PECO

Included ExcludedPopulation • Human • AnimalsExposure • Indoor exposure via inhalation

• Measurements of [chemical] concentration in air, or exposure quantified using a job-exposure matrix

• No [chemical]- specific analyses• Job title/industry based analysis• Dermal• Outdoor exposure

Comparator • Evaluated outcome associations with [chemical] alone

• Case reports• Surveillance analysis /Illness investigation (no

comparison) Outcome • Reported spirometry or peak flow

measurements• Studies of mechanisms for

respiratory effects (identified and evaluated under “respirator MOA”)

• Pulmonary function among asthmatic subjects in controlled human exposure studies (identified and evaluated under “immune-mediated conditions”)

• Exposure studies/ no outcome evaluated• Studies of other outcomes

Other • Reviews and reports (not primary research), letters, meeting abstract, no abstract, methodology paper

Studies of pulmonary function in humans

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• Scoping/problem formulation• Screening studies

Implementation of Automated Machine LearningTools in the Systematic Review Process

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SWIFT Review: Problem Formulation and Literature Screening

Health Assessment Workspace Collaborative (HAWC)

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https://www.sciome.com/swift-review/

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SWIFT Review: Problem Formulation and Literature Screening

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SWIFT Review Capabilities

• Freely available interactive workbench • Developed by Brian Howard and Ruchir Shah at Sciome• HERO Integration – seamlessly import HERO references and tag according to

SWIFT categories• Automated tools assist in problem formulation and literature prioritization• Utilizes statistical text mining and machine learning methodology• Train the model with 10-20 include/10-20 exclude “seeds”• Identifies data rich/data poor topics within the literature corpus• Priority ranks documents for manual screening

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Health Outcome Focus

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Tag Browser Health Outcomes

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Tag Browser Health Outcomes:Interactive Graphics

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Tag Browser Health Outcomes:Interactive Graphics

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Tag Browser Health Outcomes:Updates Document List

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Chemical Focus

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Tag Browser Evidence Stream

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“Heat Map” Displays to Survey Literature

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Heatmap Browser 10 TSCA Chemicalsby Health Outcome

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Configure Heatmap Displays

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Download Data to Excel

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Export Heatmap Results into Excel

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Seed Studies to Train “machine-learning”Priority-Ranking

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“Seeding” Informs the Model

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Increase screening efficiencyReduce screening burden on average 50%

Priority Ranked List of Documents

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Howard et al., Systematic Reviews (2016), 5:87

SWIFT Performance Ranking Metrics

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Topic Modeling: Asbestos

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Send Results Directly to Active Screener: Automated Priority Ranking

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Automated Priority Ranking

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SWIFT Active Screener:Machine Learning

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Customizable Inclusion/Exclusion Criteria According to the PECO Statement

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Automatically Priority Ranks While Screening

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Title and Abstract Screening Facilitated by Key Text Highlighting

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Optional “Seeding” when Relevant On/Off Topic Literature is Identified

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Manage References- ConflictResolution and Tracking Changes

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Track Progress

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Summary Data of Progress

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Summary Data of Progress

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SWIFT Active Screener:Export Reports

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SWIFT Active Screener:Screening Time Data

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SWIFT Active Screener:Screening Time Reports

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SWIFT Active Screener:Track and Resolve Conflicts

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• Increased efficiency• Increased transparency (ability to export data for

independent analysis)• Integration with other automated software tools (e.g.,

Distiller, HERO)•Web-based to promote team collaboration•Ability to export data files promotes independent analysis

of findings•Creates possibilities for web-based, interactive reports

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Advantages

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Demonstration of Tools for Study Evaluation, Extraction, Visualization

and Data Sharing

Office of Research and DevelopmentNCEA, IRIS

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Office of Research and DevelopmentNCEA, IRIS

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• General approach same for human and animal studies• Evaluation process focused on:

– Internal validity/bias– Sensitivity– Applicability; relevance to the question– Reporting quality

• Outcome/Endpoint-specific• Two reviewers, with process for comparing and resolving

differences

Evaluation of Individual Studies

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Human studies• Exposure• Outcome• Selection/Study

design• Confounding• Analysis• Selective reporting • Sensitivity

Animal studies• Reporting quality• Selection or performance bias• Confounding/variable control• Reporting or attrition bias• Exposure methods sensitivity• Outcome measures and

results display • Other

Evaluation Domains

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Judgement How to interpret

Good Appropriate study conduct relating to the domain & minor deficiencies not expected to influence results.

AdequateA study that may have some limitations, but not likely to be severe or to have a substantive impact on results.

PoorIdentified biases or deficiencies interpreted as likely to have had a substantial impact on the results or prevent reliable interpretation of study findings.

Critically deficient

A flaw that is so serious that the study could not be used.

Rating for Individual Domains

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Rating DescriptionHigh No notable deficiencies or concerns identified; potential

for bias unlikely or minimal and sensitive methodology.Medium Possible deficiencies or concerns noted, but resulting bias

or lack of sensitivity would be unlikely to be of a substantive degree.

Low Deficiencies or concerns were noted, and the potential for substantive bias or inadequate sensitivity could have a significant impact on the study results or their interpretation.

Uninformative Serious flaw(s) makes study results unusable for hazard identification

Overall Study Confidence

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Bias: Internal validitySelection, Information, Confounding

Sensitivity: Aspects not considered in domains of bias that affect the ability to detect an effect

Exposure (e.g., level, duration, frequency, or probability)Range in exposure levels or durationTime window of exposure measurement with respect to outcomeLength of follow-up in cohort studiesNumbers of exposed and non-exposed participants or cases and controlsAnalytic strategies (e.g., exposure categories defined by median)

Additional informationCoherence (groups of related outcomes)Susceptibility

Considerations for Study Evaluation

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• Subject-matter knowledge is used to formulate a list of issues to consider in the evaluation

• Develop a set of criteria defining the classification of each domain, based on exposure and outcome-specific considerations

• Some general criteria will apply to all outcomes

Development of Evaluation Strategies

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Focused on the most influential health effects and analyses (i.e., those that provide the strongest case for hazard conclusions and guiding dose-response analyses).

Organize Hazard Review

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Extract and review relevant results, using tables and graphs as appropriate

Data Extraction

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• Free and open source• Developed at UNC by Andy Shapiro* with Ivan Rusyn• Literature search and initial screening• Animal bioassay, epidemiological, and in vitro structured data

extraction and visualization• Interactive “click to see more” graphics• Risk of bias evaluation• Modular to work with other tools and maximize flexibility for users

*current affiliation is National Institute of Environmental Health Sciences/National Toxicology Program (NIEHS/NTP)

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HAWC Capabilities

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HAWC: Data Extraction Animal Bioassay

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72NTP Monograph: Identifying Research Needs for Assessing Safe Use of High Intakes of Folic Acid. 2015 Aug:1-51. http://ntp.niehs.nih.gov/ntp/ohat/folicacid/final_monograph_508.pdf

Epidemiology: Click to See MoreDisplay Feature

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NTP (National Toxicology Program). 2016. Systematic Literature Review on the Effects of Fluoride on Learning and Memory in Animal Studies. NTP Research Report 1. Research Triangle Park, NC: National Toxicology Program. https://ntp.niehs.nih.gov/ntp/results/pubs/rr/reports/01fluoride_508.pdf

Animal data can be expressed as effect size, e.g., percent control

Animal Bioassay: Click to See MoreDisplay Feature

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74NTP (National Toxicology Program). 2016. Systematic Literature Review on the Effects of Fluoride on Learning and Memory in Animal Studies. NTP Research Report 1. Research Triangle Park, NC: National Toxicology Program. https://ntp.niehs.nih.gov/ntp/results/pubs/rr/reports/01fluoride_508.pdf

Coming soon: Built-in graph digitizer (from graph to numbers)

Animal Bioassay: Click to See MoreDisplay Feature

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HAWC: Dose-Response Displays

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udy

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Stud

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Stud

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HAWC: Risk of Bias

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udy

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See responses for a cell, within a study, or across domains

Study 1

Study 1

Study 2

Study 3

Study 4

HAWC: Risk of Bias

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• Entire database for an assessment can be downloaded in Microsoft Excel exports

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HAWC: Download Reports

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• Structured data extraction to promote consistency and completeness• Free, open source and customizable• Enhance database interpretability • Integration with automated data-extraction tools• Web-based to promote team collaboration• Ability to export data files promotes independent analysis of findings

and quantification (in assessments or for methods development)–Exploring the creation of meta-analysis using the R metafor library

• Creates possibilities for web-based, interactive reports• Systematic review tools like HAWC could be “re-purposed” for next

generation of journal submission practices

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Advantages

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QUESTIONS?

Office of Research and DevelopmentNCEA, IRIS