Evidence map›Paper›PMID 41562963›Full record

ArticleAdvances in respiratory medicine2026

Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States.

Sabrina Meng, Hersh Sagreiya, Negar Orangi-Fard

Abstract read
In one paragraph

Article in Advances in respiratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sabrina MengPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0009-0004-5362-0788
Hersh SagreiyaDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-2909-6793
Negar Orangi-FardDepartment of Mathematics and Statistics, Georgia Gwinnett College, Lawrenceville, GA 30043, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Machine LearningPulmonary Disease, Chronic ObstructiveVital SignsAgedBoosting Machine Learning AlgorithmsClassification AlgorithmsDisease ProgressionFemaleHumansMaleMiddle AgedPrediction AlgorithmsPredictive Learning ModelsRetrospective StudiesUnited Statesartificial intelligencechronic obstructive pulmonary diseasemachine learningnatural language processingpulmonary medicineretrospective cohort studyUnited States

Identifiers

PMID41562963
PMCPMC12821515

What OpenQuestion holds

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LicenceCC BY
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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.