Evidence map›Paper›PMID 25666844›Full record

ArticleOccupational and environmental medicine2015

Endotoxin and gender modify lung function recovery after occupational organic dust exposure: a 30-year study.

Peggy S Lai, Jing-Qing Hang, Linda Valeri, Feng-Ying Zhang, Bu-Yong Zheng, Amar J Mehta, Jing Shi, Li Su, Dan Brown, Ellen A Eisen and 1 more

Abstract read
In one paragraph

Article in Occupational and environmental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Endotoxin andEnvironmental health perspectives · 2019
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Peggy S Lai *Massachusetts General Hospital, Boston, MA, United States.
Jing-Qing Hang *Shanghai Putuo District People's Hospital, Shanghai, China.
Linda ValeriHarvard School of Public Health, Boston, MA, United States.
Feng-Ying ZhangShanghai Putuo District People's Hospital, Shanghai, China.
Bu-Yong ZhengShanghai Putuo District People's Hospital, Shanghai, China.
Amar J MehtaHarvard School of Public Health, Boston, MA, United States.
Jing ShiChina Institute of Industrial Relations, Beijing, China.
Li SuHarvard School of Public Health, Boston, MA, United States.
Dan BrownSchool of Public Health, University of California, Berkeley, CA, United States.
Ellen A EisenHarvard School of Public Health, Boston, MA, United States.
David C ChristianiMassachusetts General Hospital, Boston, MA, United States.
Central Hospital of Putuo District · CNHarvard University · USMassachusetts General Hospital · USUniversity of California, Berkeley · USChina University of Labor Relations · CN

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
LUNG DISEASE IN CHINESE TEXTILE WORKERSR01OH002421 · OH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 1988 to 2020
$5.5M
Endotoxin, the airway transcriptome, and obstructive lung diseaseK23ES023700 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI LAI, PEGGY SUE · 2013 to 2017
$764k
Lung disease due to chronic endotoxin exposure in mouse and human modelsF32ES020082 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI LAI, PEGGY SUE · 2012 to 2013
$81k
ACL HHS R01OH002421NIEHS NIH HHS ES00002NIEHS NIH HHS F32 ES020082NIEHS NIH HHS F32ES020082NIEHS NIH HHS K23 ES023700NIEHS NIH HHS NIH-NIEHSK23ES023700NIEHS NIH HHS P30 ES000002NIOSH CDC HHS NIOSH OH002421NIOSH CDC HHS R01 OH002421
6 · The paper itself

Abstract

objectivesThe purpose of this study is to determine the trajectory of lung function change after exposure cessation to occupational organic dust exposure, and to identify factors that modify improvement.

methodsThe Shanghai Textile Worker Study is a longitudinal study of 447 cotton workers exposed to endotoxin-containing dust and 472 silk workers exposed to non-endotoxin-containing dust. Spirometry was performed at 5-year intervals. Air sampling was performed to estimate individual cumulative exposures. The effect of work cessation on forced expiratory volume in 1 s (FEV1) was modelled using generalised additive mixed effects models to identify the trajectory of FEV1 recovery. Linear mixed effects models incorporating interaction terms were used to identify modifiers of FEV1 recovery. Loss to follow-up was accounted for with inverse probability of censoring weights.

results74.2% of the original cohort still alive participated in 2011. Generalised additive mixed models identified a non-linear improvement in FEV1 for all workers after exposure cessation, with no plateau noted 25 years after retirement. Linear mixed effects models incorporating interaction terms identified prior endotoxin exposure (p=0.01) and male gender (p=0.002) as risk factors for impaired FEV1 improvement after exposure cessation. After adjusting for gender, smoking delayed the onset of FEV1 gain but did not affect the overall magnitude of change.

conclusionsLung function improvement after cessation of exposure to organic dust is sustained. Endotoxin exposure and male gender are risk factors for less FEV1 improvement.

Indexed as

DustRecovery of FunctionTextile IndustryAir Pollutants, OccupationalChinaEmploymentEndotoxinsFemaleFollow-Up StudiesForced Expiratory VolumeHumansLongitudinal StudiesLungLung DiseasesMaleOccupational DiseasesAir Pollutants, OccupationalDustEndotoxins

Identifiers

PMID25666844
PMCPMC4506722
OpenAlexW2013755249

What OpenQuestion holds

Textmetadata
LicenceTDM
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.