Evidence map›Paper›PMID 38097585›Full record

ArticleNature communications2023

Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors.

Yixuan He, David C Qian, James A Diao, Michael H Cho, Edwin K Silverman, Alexander Gusev, Arjun K Manrai, Alicia R Martin, Chirag J Patel

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Are Real-World Mobility Patterns Early Indicators of COPD Onset? Insights from Wrist-Worn Sensors.International journal of chronic obstructive pulmonary disease · 2026
    Article
  6. Predictive Value of Biological Age for All-Cause Mortality in Patients with COPD.International journal of chronic obstructive pulmonary disease · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. Human Plasma Proteomics Links Modifiable Lifestyle Exposome to Disease Risk.medRxiv : the preprint server for health sciences · 2025
    Article
  11. Integrating exposomics into biomedicine.Science (New York, N.Y.) · 2025
    Article
  12. Circular RNAs as Biomarkers in the Diagnosis of Human Diseases.Advances in experimental medicine and biology · 2025
    Review
  13. Risk and Protective Factors of COPD Among Smokers: A Cross-Sectional Study Using NHANES Database.International journal of chronic obstructive pulmonary disease · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Yixuan HeAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-4033-6513
David C QianDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, USA.
James A DiaoDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Michael H ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-4907-1657
Edwin K SilvermanDepartment of Medicine, Harvard Medical School, Boston, MA, USA.
Alexander GusevDepartment of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-7980-4620
Arjun K ManraiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Alicia R Martin *Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. armartin@broadinstitute.org.ORCID 0000-0003-0241-3522
Chirag J Patel *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. chirag_patel@hms.harvard.edu.ORCID 0000-0002-8756-8525
Harvard University · USBrigham and Women's Hospital · USBroad Institute · USDana-Farber Cancer Institute · USEmory University · US

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
Partners Healthcare Training Program in Precision and Genomic MedicineT32HG010464 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HEIDI L REHM, JORDAN W SMOLLER · 2019 to 2026
$3.1M
NHGRI NIH HHS T32 HG002295NHGRI NIH HHS T32 HG010464NIEHS NIH HHS R01 ES032470
6 · The paper itself

Abstract

Smoking is the leading risk factor for chronic obstructive pulmonary disease (COPD) worldwide, yet many people who never smoke develop COPD. We perform a longitudinal analysis of COPD in the UK Biobank to derive and validate the Socioeconomic and Environmental Risk Score which captures additive and cumulative environmental, behavioral, and socioeconomic exposure risks beyond tobacco smoking. The Socioeconomic and Environmental Risk Score is more predictive of COPD than smoking status and pack-years. Individuals in the highest decile of the risk score have a greater risk for incident COPD compared to the remaining population. Never smokers in the highest decile of exposure risk are more likely to develop COPD than previous and current smokers in the lowest decile. In general, the prediction accuracy of the Social and Environmental Risk Score is lower in non-European populations. While smoking status is often considered in screening COPD, our finding highlights the importance of other non-smoking environmental and socioeconomic variables.

Indexed as

Pulmonary Disease, Chronic ObstructiveHumansRisk FactorsSmoking

Identifiers

PMID38097585
PMCPMC10721891
OpenAlexW4389741885

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.