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Enregistrement W4405614650 · doi:10.1016/j.envint.2024.109216

The effect of occupational exposure to welding fumes on trachea, bronchus, and lung cancer: A supplementary analysis of regular occupational exposure and of occasional occupational exposure based on the systematic review and meta-analysis from the WHO/ILO Joint estimates of the work-related burden of disease and Injury

2024· review· en· W4405614650 sur OpenAlexaff
Natalie C. Momen, Marissa G. Baker, Tim Driscoll, Jian Li, Martha Sílvia Martinez-Silveira, Michelle C. Turner, Susana Viegas, Paul J. Villeneuve, Frank Pega

Notice bibliographique

RevueEnvironment International · 2024
Typereview
Langueen
DomaineMedicine
ThématiqueOccupational and environmental lung diseases
Établissements canadiensCarleton University
Organismes subventionnairesLancaster UniversityWorld Health OrganizationInternational Labour OrganisationAgencia Española de Cooperación Internacional para el DesarrolloNational Institute for Occupational Safety and HealthBundesministerium für Gesundheit
Mots-clésOccupational exposureMedicineLung cancerOccupational lung diseaseBronchusEnvironmental healthLungPathologyInternal medicineRespiratory disease

Résumé

récupéré en direct d'OpenAlex

Background The World Health Organization (WHO) and the International Labour Organization (ILO) are the producers of the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury (WHO/ILO Joint Estimates). The WHO International Agency for Research on Cancer has classified welding fumes as carcinogenic to humans (Group 1). A previous systematic review and meta -analysis from the WHO/ILO Joint Estimates reported that there was “sufficient evidence of harmfulness” that compared with no (or low) occupational exposure to welding fumes, any (or high) occupational exposure to welding fumes increased the risk of developing trachea, bronchus, and lung cancer. It concluded that WHO/ILO Joint Estimates could be produced of the attributable burden of trachea, bronchus, and lung cancer. However, occupational exposure to welding fumes must be considered in greater detail, as there may be differences in risk between those with regular occupational exposure to welding fumes and those with occasional occupational exposure, the latter of which has previously been estimated to be highly prevalent. Regular and occasional occupational exposure to welding fumes have not previously been considered in a systematic review . Here, we present a supplementary analysis to our previous systematic review and meta -analysis, providing parameters for estimating the number of deaths and disability-adjusted life years from trachea, bronchus, and lung cancer attributable to regular and to occasional occupational exposure to welding fumes, to inform the development of WHO/ILO Joint Estimates of this burden of disease. Objectives We sought to systematically review and meta -analyse estimates of the effect of regular occupational exposure to welding fumes and of occasional occupational exposure to welding fumes, compared with no (or very rare) occupational exposure to welding fumes, on trachea, bronchus, and lung cancer (three outcomes: prevalence, incidence, and mortality). Data sources We developed and published a protocol for our previous systematic review, applying the Navigation Guide as an organizing systematic review framework where feasible. We searched electronic databases for potentially relevant records from published and unpublished studies, including Medline, EMBASE, Web of Science, CENTRAL and CISDOC, up until 27 May 2024. We also searched grey literature databases, internet search engines, and organizational websites; hand-searched reference lists of previous systematic reviews; and consulted additional experts. Study eligibility and criteria We included studies of working-age workers (≥15 years) in the formal and informal economy in any Member State of WHO and/or ILO but excluded studies of children (<15 years) and of unpaid domestic workers. We included randomized controlled trials , cohort studies , case-control studies, and other non-randomized intervention studies with an estimate of the effect of regular and/or occasional occupational exposure to welding fumes, compared with no (or very rare) occupational exposure to welding fumes, on trachea, bronchus, and lung cancer (prevalence, incidence, and mortality). Study appraisal and synthesis methods At least two review authors independently: screened titles and abstracts against the eligibility criteria, screened full texts of potentially eligible records, and extracted data from the included studies. We combined effect estimates using random-effects meta -analysis. Two or more review authors assessed the risk of bias, quality of evidence, and strength of evidence, using the Navigation Guide‘s tools and approaches adapted to the WHO/ILO Joint Estimates. We conducted subgroup analyses and sensitivity analyses. Results Twenty-eight records from 19 studies (17 case control studies and two cohort studies) met the inclusion criteria, comprising over 2.4 million participants (unclear number of females, but N < 4388) and conducted in 17 countries in three WHO Regions (Region of the Americas, European Region, and Western Pacific Region). Across included studies, we judged risk of bias as generally probably low/low, but the risks of selection bias as probably high for several studies and of exposure assessment bias as high for one study. Our search identified no evidence on the outcome of having trachea, bronchus, and lung cancer (prevalence). Compared with no (or very rare) occupational exposure to welding fumes, regular occupational exposure to welding fumes increased the risk of developing trachea, bronchus, and lung cancer (incidence) by an estimated 39% (RR 1.39, 95% confidence interval [CI] 1.15–1.67, 15 studies, 29,785 participants, I 2 23%; high quality of evidence), and occasional occupational exposure to welding fumes increased the risk of developing trachea, bronchus, and lung cancer (incidence) by an estimated 16% (RR 1.16, 95% CI 1.06–1.27, 16 studies, 32,838 participants, I 2 15%; moderate quality of evidence). Compared with no (or very rare) occupational exposure to welding fumes, regular occupational exposure to welding fumes increased the risk of dying from trachea, bronchus, and lung cancer (mortality) by an estimated 25% (RR 1.25, 95% CI 0.88–1.77, 1 study, 3583 participants; low quality of evidence), and occasional occupational exposure to welding fumes increased the risk of dying from trachea, bronchus, and lung cancer (mortality) by an estimated 31% (RR 1.31, 95% CI 1.07–1.59, 1 study, 4215 participants, low quality of evidence). Subgroup analyses found no evidence for differences by WHO Region and sex. Sensitivity analyses supported the main analyses’ findings. Conclusions Overall, for incidence of trachea, bronchus, and lung cancer, we judged the existing body of evidence for human data as “sufficient evidence of harmfulness” for both regular and occasional occupational exposure to welding fumes; a positive relationship is observed between exposure and outcome where chance, bias, and confounding can be ruled out with reasonable confidence. For mortality of trachea, bronchus, and lung cancer, we judged the existing body of evidence for human data as “inadequate evidence of harmfulness”; the available evidence is insufficient to assess effects of the exposure. The summary effect estimates presented in this systematic review could be used as input data for the WHO/ILO Joint Estimates to produce estimates of proportions of the working-age population with regular and occasional occupational exposure to welding fumes and the attributable burden of trachea, bronchus, and lung cancer.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,592
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,318
Écart entre enseignants0,293 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeMéta-analyse
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2024
Routes d'admission1
Résumé présentoui

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