Evidence map›Paper›PMID 38820262›Full record

ArticleAnnals of the American Thoracic Society2024

The Impact of Changing Race-Specific Equations for Lung Function Tests among Veterans with Chronic Obstructive Pulmonary Disease.

Laura J Spece, Travis Hee Wai, Lucas M Donovan, Kevin I Duan, Robert Plumley, Kristina A Crothers, Neeta Thakur, Aaron Baugh, Sophia Hayes, Fernando Picazo and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of the American Thoracic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Laura J SpeceCenter of Innovation for Veteran-Centered and Value-Driven Care.ORCID 0000-0002-1269-5298
Travis Hee WaiCenter of Innovation for Veteran-Centered and Value-Driven Care.
Lucas M DonovanCenter of Innovation for Veteran-Centered and Value-Driven Care.ORCID 0000-0001-8187-2641
Kevin I DuanDepartment of Medicine, University of Washington, Seattle, Washington.
Robert PlumleyCenter of Innovation for Veteran-Centered and Value-Driven Care.
Kristina A CrothersCenter of Innovation for Veteran-Centered and Value-Driven Care.
Neeta ThakurPulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California.ORCID 0000-0001-6126-6601
Aaron BaughPulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California.ORCID 0000-0002-9527-691X
Sophia HayesCenter of Innovation for Veteran-Centered and Value-Driven Care.
Fernando PicazoCenter of Innovation for Veteran-Centered and Value-Driven Care.
Laura C FeemsterCenter of Innovation for Veteran-Centered and Value-Driven Care.
David H AuCenter of Innovation for Veteran-Centered and Value-Driven Care.

Funding

University of Washington Implementation Science Training Program (UW-ISTP)K12K12HL137940 · NHLBI · UNIVERSITY OF WASHINGTON · PI AU, DAVID H, CURTIS, J RANDALL · 2017 to 2021
$2.9M
Redesigning Medical specialty Outpatient DELivery through virtual SLEEP care (REMODEL-SLEEP)IK2HX002816 · VA · VA PUGET SOUND HEALTHCARE SYSTEM · PI DONOVAN, LUCAS MATTHEW · 2020 to 2024
–
HSRD VA IK2 HX002816NHLBI NIH HHS K12 HL137940VA Center of Innovation for Veteran-Centered and Value-Driven Care
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Pulmonary Disease, Chronic ObstructiveSpirometryVeteransAdultAgedAged, 80 and overCross-Sectional StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedRespiratory Function TestsUnited StatesCOPDdisparitiespulmonary function testrace

Identifiers

PMID38820262
PMCPMC12392396

What OpenQuestion holds

Textmetadata
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.