Evidence map›Paper›PMID 40571325›Full record

ArticleThe European respiratory journal2025

Cluster analysis identifies quantitative CT imaging-based subgroups in COPD subjects with pulmonary artery enlargement.

Shelsey W Johnson, James C Ross, Pietro Nardelli, Bina Choi, Rebecca R Vanderpool, Carrie Pistenmaa, J Michael Wells, Raul San Jose Estépar, George Washko, Farbod N Rahaghi

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in The European respiratory journal, 2025. 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

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

10 authors.

Shelsey W JohnsonDivision of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA swjohnson@mgb.org.
James C RossDepartment of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Pietro NardelliDepartment of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Bina ChoiDivision of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Rebecca R VanderpoolDivision of Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA.ORCID https://orcid.org/0000-0001-6038-0568
Carrie PistenmaaDivision of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1563-1916
J Michael WellsLung Health Center, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID https://orcid.org/0000-0001-9612-5454
Raul San Jose EstéparDepartment of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-3677-1996
George WashkoDivision of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Farbod N RahaghiDivision of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.

Funding

Structural and Funcional Vascular Phenotyping in Smokers with Pulmonary Hypertension using Artificial IntelligenceK25HL157601 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Pietro Nardelli · 2024 to 2026
$563k
Assessment of microvascular volume in smokers using AIR21HL177703 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Pietro Nardelli · 2025 to 2026
$269k
NHLBI NIH HHS K25 HL157601NHLBI NIH HHS R21 HL177703
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40571325
PMCPMC12332467

What OpenQuestion holds

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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.