Evidence map›Paper›PMID 41477052›Full record

ArticleSafety and health at work2025

Occupational Risk of COPD: Insights from a Large Cohort Study.

Haoxuan Yu, Zhiping Yu

Abstract readCase Reports
In one paragraph

Article in Safety and health at work, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A two-sample Mendelian randomization study of the causal relationship between respiratory diseases, gastric cancer risk, and Helicobacter pylori infection.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Haoxuan YuDepartment of Civil Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia.
Zhiping YuDirector of Gastroenterology, Nanzheng District People's Hospital, Hanzhong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) remains a critical public health challenge globally. While tobacco smoking is the most recognized risk factor, occupational exposures-especially to vapors, gases, dusts, and fumes (VGDF)-are increasingly acknowledged as substantial contributors. This study offers a secondary reanalysis of publicly available Canadian data, originally collected through the occupational disease surveillance system (ODSS), to investigate COPD risk across diverse occupational sectors and gender strata. By transforming the original hazard ratio data into intuitive visual representations-including scatter plots, histograms, violin plots, and bar charts-we expose previously overlooked gender disparities and risk clusters. Notably, female workers in cleaning, textile, and food preparation services face equally high or even elevated risks compared to men in construction or manufacturing. Our findings underscore methodological limitations in prior studies-such as insufficient detail in indirect smoking adjustment, reliance on outdated occupational coding systems, and lack of individual-level variables-and emphasize the need for gender-sensitive surveillance, policy-oriented communication, and international data-sharing frameworks. This study reframes occupational COPD not only as a biomedical condition but as a social justice issue shaped by labor inequality and surveillance blind spots.

Indexed as

economic stabilitygender disparitieslabor inequalityoccupational healthworker health protection

Identifiers

PMID41477052
PMCPMC12750287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.