Evidence map›Paper›PMID 33043057›Full record

ArticleERJ open research2020

Occupation

Hayley Barnes, Anna-Carin Olin, Kjell Torén, Charles McSharry, Iona Donnelly, Mona Lärstad, Carlos Iribarren, Patricia Quinlan, Paul D Blanc

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

9 authors at 5 institutions in 4 countries.

Hayley BarnesDivision of Pulmonary and Critical Care, Dept of Medicine, University of California, San Francisco, CA, USA.ORCID https://orcid.org/0000-0002-7615-4191
Anna-Carin OlinOccupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-6674-9020
Kjell TorénOccupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Charles McSharryDept of Immunology, University of Glasgow, Glasgow, UK.
Iona DonnellyDept of Immunology, University of Glasgow, Glasgow, UK.
Mona LärstadDept of Internal Medicine/Respiratory Medicine and Allergology, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Carlos IribarrenKaiser Permanente Division of Research, Oakland, CA, USA.
Patricia QuinlanDivision of Occupational and Environmental Medicine, Dept of Medicine, University of California, San Francisco, CA, USA.
Paul D BlancDivision of Pulmonary and Critical Care, Dept of Medicine, University of California, San Francisco, CA, USA.
University of California, San Francisco · USSahlgrenska University Hospital · SEUniversity of Glasgow · GBKaiser Permanente · USUniversity of Gothenburg · SE

Funding

Estimating the Environmental Burden in Two Orphan Lung DiseasesRC1ES018211 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLANC, PAUL D, EISNER, MARK DOUGLAS · 2009 to 2010
$996k
NIEHS NIH HHS RC1 ES018211
6 · The paper itself

Abstract

backgroundDespite well-documented case series of hypersensitivity pneumonitis (HP), epidemiological data delineating relative contributions of risk factors are sparse. To address this, we estimated HP risk in a case-referent study of occupational and nonoccupational exposures.

methodsWe recruited cases of HP by ICD-9 codes from an integrated healthcare delivery system (IHCDS) and a tertiary medical care centre. We drew referents, matched for age and sex, from the IHCDS. Participants underwent comprehensive, structured telephone interviews eliciting details of occupational and home environmental exposures. We employed a hierarchical analytic approach for data reduction based on the false discovery rate method within clusters of exposures. We measured lung function and selected biomarkers in a subset of participants. We used multivariate logistic regression to estimate exposure-associated odds ratios (ORs) and population attributable fractions (PAFs) for HP.

resultsWe analysed data for 192 HP cases (148 IHCDS; 44 tertiary care) and 229 referents. Occupational exposures combined more than doubled the odds of developing HP (OR 2.67; 95% CI 1.73-4.14) with a PAF of 34% (95% CI 21-46%); nonoccupational bird exposure also doubled the HP odds (OR 2.02; 95% CI 1.13-3.60), with a PAF of 12% (3-21%). Lung function and selected biomarkers did not substantively modify the risk estimates on the basis of questionnaire data alone. DISCUSSION: In a case-referent approach evaluating HP risk, identifiable exposures accounted, on an epidemiological basis, for approximately two in three cases of disease; conversely, for one in three, the risk factors for disease remained elusive.

Identifiers

PMID33043057
PMCPMC7533383
OpenAlexW3090543087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.