Evidence map›Paper›PMID 40170167›Full record

ArticleRespiratory research2025

The effect of a post-bronchodilator FEV

Alexander T Moffett, Scott D Halpern, Gary E Weissman

Abstract read
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Alexander T MoffettDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA. amoffett@upenn.edu.
Scott D HalpernDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Gary E WeissmanDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Applying Causal Inference and Deep Learning to Improve the Accuracy and Equity of Pulmonary Function Test Interpretation.F32HL167456 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MOFFETT, ALEXANDER T · 2023 to 2023
$88k
NHLBI NIH HHS F32 HL167456
6 · The paper itself

Abstract

backgroundGlobal Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines recommend the diagnosis of chronic obstructive pulmonary disease (COPD) only in patients with a post-bronchodilator forced expiratory volume in 1 s to forced vital capacity ratio (FEV

objectiveTo estimate the effect of a documented post-bronchodilator FEV

designWe used a regression discontinuity design to measure the effect of a post-bronchodilator FEV

participantsPatients included in a national electronic health record database who were 18 years of age and older and had a clinical encounter between 2007 and 2022 in which a post-bronchodilator FEV MAIN MEASURES: An encounter was associated with a COPD diagnosis if an international classification of disease code for COPD was assigned, and was associated with COPD treatment if a prescription for a medication commonly used to treat COPD was filled within 90 days.

resultsAmong 27,817 clinical encounters, involving 18,991 patients, a post-bronchodilator FEV

conclusionsThe presence of a documented post-bronchodilator FEV

Indexed as

Bronchodilator AgentsPulmonary Disease, Chronic ObstructiveAgedDatabases, FactualFemaleForced Expiratory VolumeHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeVital CapacityBronchodilator Agents

Identifiers

PMID40170167
PMCPMC11963470

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.