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Record W4407937563 · doi:10.1093/annweh/wxaf006

Systematic review and meta-analysis of the epidemiology of man-made vitreous fibres and respiratory health outcomes

2025· review· en· W4407937563 on OpenAlexaboutno aff
Damien McElvenny, Ireny Iskandar, Sarah Daniels, Matthew Gittins, Martie van Tongeren

Bibliographic record

VenueAnnals of Work Exposures and Health · 2025
Typereview
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLMedicineCohort studySystematic reviewCohortMeta-analysisEpidemiologyGlass woolMEDLINEEnvironmental healthInternal medicineBiologyChemistryPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: The generic term man-made vitreous fibres (MMVFs) also known as man-made mineral fibres (MMMFs) denotes non-crystalline, fibrous inorganic material manufactured primarily from glass, rock, minerals, slag, glass, and processed inorganic oxides. The International Agency for Research on Cancer has classified rock (stone) wool, glass wool, and continuous glass filament as Group 3 (not classifiable for carcinogenicity). This study contains an updated systematic review and meta-analysis of respiratory health outcomes and MMMFs. METHODS: Cinahl, EMBASE, Medline, Web of Science, and OpenGrey were searched for epidemiological studies of occupational MMMF exposure and malignant and non-malignant respiratory diseases. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were adopted for reporting. Meta-analyses were carried out separately for cohort and case-control studies. RESULTS: A total of 25 studies were identified for inclusion in the systematic review, with 19 of these (9 cohort; 10 case-control) providing risk estimates for the meta-analyses. Of the cohort studies, 3 were carried out in Sweden, 2 each in Canada and the United States, one in France, and one several European countries. The start of follow-up ranged from 1933 to 1975. The meta-RR for lung cancer from cohort studies (incidence or mortality) was 1.15 (95% CI: 1.01 to 1.32), for laryngeal cancer was 1.03 (95% CI: 0.78 to 1.37), and for non-malignant respiratory diseases (NMRD) mortality was 0.89 (95% CI: 0.66 to 1.22). Of the case-control studies, 9 examined lung cancer and one laryngeal cancer. Three of the lung cancer studies were carried out in France and one each in Germany, Russia, Canada, and China, with one in several European countries and one was a nested case-control study of several case cohorts from across the globe. The meta-OR for lung cancer from the case-control studies was 1.28 (95% CI: 1.10 to 1.50). CONCLUSIONS: Our findings broadly agree with a previously published meta-analysis of respiratory system cancers, in that they were similar in terms of magnitude of relative risk. However, overall, our results suggest that exposure to MMMFs is associated with a small, but statistically significantly elevated risk for lung cancer, but not for laryngeal cancer or NMRDs. Given the heterogeneity between studies, and the possibility of residual confounding, further work is required to determine if this association is causal.

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)0.051
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 score0.021
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.051
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.037
Bibliometrics0.0090.011
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
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 head0.294
GPT teacher head0.486
Teacher spread0.192 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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