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Record W3000694450 · doi:10.1136/bmjopen-2019-029653

Occupational exposure to silica and risk of heart disease: a systematic review with meta-analysis

2020· review· en· W3000694450 on OpenAlexaboutno aff
Kai Liu, Min Mu, Kehong Fang, Yuanyuan Qian, Song Xue, Weijiang Hu, Meng Ye

Bibliographic record

VenueBMJ Open · 2020
Typereview
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
FundersShanghai General HospitalAnhui University of Science and TechnologySchool of Medicine, Shanghai Jiao Tong UniversityChinese Center for Disease Control and PreventionShanghai Jiao Tong UniversityAnhui University
KeywordsMedicineMeta-analysisRelative riskCohort studyHeart diseaseInternal medicineSystematic reviewEpidemiologyProspective cohort studyConfidence intervalMEDLINE

Abstract

fetched live from OpenAlex

OBJECTIVE: To search for evidence of the relationship between occupational silica exposure and heart disease. DESIGN: A systematic review and meta-analysis. BACKGROUND: Growing evidence suggests a relationship between occupational silica exposure and heart disease; however, the link between them is less clear. DATA SOURCES: PubMed, ScienceDirect, Springer and EMBASE were searched for articles published between 1 January 1995 and 20 June 2019. Articles that investigated the effects of occupational silica exposure on the risk of heart disease were considered. STUDY SELECTION: We included cohort studies, including prospective, retrospective and retroprospective studies. DATA EXTRACTION AND SYNTHESIS: We extracted data using a piloted data collection form and conducted random-effects meta-analysis and exposure-response analysis. The meta-relative risk (meta-RR), a measure of the average ratio of heart disease rates in those with and without silica exposure, was used as an inverse variance-weighted average of relative risks from the individual studies. The Newcastle-Ottawa Quality Assessment Scale for cohort studies was used for study quality assessment. OUTCOME MEASURE: We calculated the risk of heart diseases such as pulmonary heart disease, ischaemic heart disease and others. RESULTS: Twenty cohort studies were included. The results suggest a significant increase in the risk of overall heart disease (meta-RR=1.08, 95% CI 1.03 to 1.13). Stronger evidence of association with pulmonary heart disease was found in the risk estimate of both categories of heart disease (meta-RR=1.24, 95% CI 1.08 to 1.43) and in the exposure-response analysis (meta-RR=1.39, 95% CI 1.19 to 1.62). Our subgroup analyses also revealed that the statistical heterogeneity among studies could be attributed mainly to the diversity in reference group, occupation and study quality score. CONCLUSIONS: Silica-exposed workers are at an increased risk for overall heart disease, especially pulmonary heart disease. Further research is needed to better clarify the relationship between occupational silica exposure and ischaemic heart disease. PROSPERO REGISTRATION NUMBER: CRD42019124673.

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)0.019
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.047
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0270.047
Bibliometrics0.0110.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.138
GPT teacher head0.433
Teacher spread0.294 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations19
Published2020
Admission routes1
Has abstractyes

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