Evidence map›Paper›PMID 38770008›Full record

ArticleERJ open research2024

Cluster analysis identifies novel real-world lung disease-pulmonary hypertension subphenotypes: implications for treatment response.

Shelsey W Johnson, Rui-Sheng Wang, Michael R Winter, Kari R Gillmeyer, Katarina Zeder, Elizabeth S Klings, Ronald H Goldstein, Renda Soylemez Wiener, Bradley A Maron

Abstract read
In one paragraph

Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Shelsey W JohnsonVA Boston Healthcare System, Boston, MA, USA.
Rui-Sheng WangDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Michael R WinterBoston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA, USA.
Kari R GillmeyerVA Boston Healthcare System, Boston, MA, USA.
Katarina ZederDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Elizabeth S KlingsThe Pulmonary Center, Division of Pulmonary, Allergy, Sleep and Critical Care, and Boston University School of Medicine, Boston, MA, USA.
Ronald H GoldsteinVA Boston Healthcare System, Boston, MA, USA.
Renda Soylemez WienerVA Boston Healthcare System, Boston, MA, USA.
Bradley A MaronVA Boston Healthcare System, Boston, MA, USA.

Funding

Targeting FAK-NEDD9 protein-protein interaction to prevent focal adhesion assembly and vascular proliferation in pulmonary arterial hypertensionR01HL139613 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI Sirano Dhe-Paganon, Bradley Maron · 2018 to 2026
$4.1M
Network Medicine and Systems Pharmacology to Advance Precision Medicine in Combined Pulmonary HypertensionR01HL163960 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Evan L Brittain, Anna R Hemnes · 2022 to 2026
$3.4M
NEDD9-SMAD3, fibrinolysis, and chronic thromboembolic pulmonary hypertensionR01HL153502 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MARON, BRADLEY · 2020 to 2023
$1.7M
Personalized protein-protein interactomes and precision medicine in pulmonary arterial hypertensionR01HL155096 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MARON, BRADLEY · 2021 to 2024
$1.6M
Novel methods to sub-phenotype patients with pulmonary hypertension due to chronic lung disease with implications for treatmentF32HL164090 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI JOHNSON, SHELSEY WEINSTEIN · 2022 to 2022
$81k
Veteran-Centered Transformation of Pulmonary Hypertension Organization into a Regional Model of Care in VA (TRANSPHORM-VA)IK2HX003700 · VA · VA BOSTON HEALTH CARE SYSTEM · PI Kari Gillmeyer · 2024 to 2026
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HSRD VA IK2 HX003700HSRD VA SDR 02-237NHLBI NIH HHS F32 HL164090NHLBI NIH HHS L30 HL154266NHLBI NIH HHS R01 HL139613NHLBI NIH HHS R01 HL153502NHLBI NIH HHS R01 HL155096NHLBI NIH HHS R01 HL163960
6 · The paper itself

Abstract

Background: Clinical trials repurposing pulmonary arterial hypertension (PAH) therapies to patients with lung disease- or hypoxia-pulmonary hypertension (PH) (classified as World Health Organization Group 3 PH) have failed to show a consistent benefit. However, Group 3 PH clinical heterogeneity suggests robust phenotyping may inform detection of treatment-responsive subgroups. We hypothesised that cluster analysis would identify subphenotypes with differential responses to oral PAH therapy. Methods: Two k-means analyses were performed on a national cohort of US veterans with Group 3 PH; an inclusive model (I) of all treated patients (n=196) and a haemodynamic model (H) limited to patients with right heart catheterisations (n=112). The primary outcome was organ failure or all-cause mortality by cluster. An exploratory analysis evaluated within-cluster treatment effects. Results: Three distinct clusters of Group 3 PH patients were identified. In the inclusive model (C1 Conclusions: Cluster analysis identifies novel real-world subphenotypes of Group 3 PH patients with distinct clinical trajectories. Future studies may consider this methodological approach to identify subgroups of heterogeneous patients that may be responsive to existing pulmonary vasodilatory therapies.

Identifiers

PMID38770008
PMCPMC11103711

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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.