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Record W4410041245 · doi:10.2196/71587

Mapping the Level of Evidence of Prenatal, Childhood, and Adolescent Exposure to Volatile Organic Compounds and Health Outcomes: Protocol for a Scoping Review

2025· review· en· W4410041245 on OpenAlexvenueno aff
Homègnon Antonin Ferréol Bah, Emily Leydet, Mackenzie Connell, Andrea E. Cassidy‐Bushrow, Jennifer K. Straughen

Bibliographic record

VenueJMIR Research Protocols · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsnot available
FundersNational Institute of Environmental Health Sciences
KeywordsPreprintProtocol (science)MedicinePsychologyAlternative medicineComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Volatile organic compounds (VOCs) are a diverse group of organic chemicals with widespread presence in daily life. VOCs may have detrimental health effects on humans, particularly during critical periods such as pregnancy, childhood, and adolescence. Although the body of evidence is growing, significant gaps remain in the current understanding of the associations of VOCs on health across these developmental stages. Moreover, existing reviews focused on specific VOCs or individual health conditions, highlighting the need for a comprehensive summary of the current literature to stimulate further research. OBJECTIVE: This ongoing scoping review aims to map the current evidence concerning exposure to VOCs and their associations with pregnancy outcomes and health during pregnancy, childhood, and adolescence. METHODS: This review will consider studies investigating potential health effects related to exposures to either total VOCs or any of the following 6 specific VOCs: benzene, toluene, ethylbenzene, xylene, trichloroethylene, and tetrachloroethylene or perchloroethylene during critical windows from pregnancy through adolescence. Original articles published in English from January 1, 2000, through the end of the scoping review period, will be included. We will follow the Joanna Briggs Institute methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. The literature search will use the Ovid MEDLINE, Embase, and Web of Science databases to identify relevant citations. The following steps of the review will be managed through the Covidence platform. A total of 2 reviewers will independently conduct a rapid screening of paper titles, before evaluating the abstracts and full texts to determine which articles will proceed to the data extraction stage. In case of discrepancies during these steps, the reviewers will discuss to reach a consensus, and a third reviewer may intervene if needed. Reviewers will provide commentaries on their findings from the included studies and suggest areas of interest for future studies. RESULTS: The literature search yielded a total of 7332 citations published during the period January 1, 2000, to July 25, 2024. After the title screening and reading the abstract and full text, 274 papers were selected for the data extraction phase, which is currently underway. Upon completion of the library's updated literature search, covering July 26, 2024, to the present, we will proceed with data analysis and manuscript writing for submission to a peer-reviewed journal. CONCLUSIONS: The results are expected to summarize the current state of knowledge on the association of VOCs with health at critical life stages (pregnancy, childhood, and adolescence). We anticipate identifying gaps in the literature as well that could guide future research priorities. TRIAL REGISTRATION: OSF Registries 10.17605/OSF.IO/EP73G; https://osf.io/ep73g. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/71587.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.113
metaresearch head score (Gemma)0.127
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.113
Threshold uncertainty score0.595

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1130.127
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0170.023
Bibliometrics0.0270.024
Science and technology studies0.0060.005
Scholarly communication0.0100.011
Open science0.0070.010
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0590.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.670
GPT teacher head0.627
Teacher spread0.043 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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