Evidence map›Paper›PMID 41164802›Full record

ArticleMedComm2025

Latent Class Analysis to Identify Novel Phenotypes in Exacerbations of COPD: A Retrospective, Multicenter Cohort Study.

Xiangqing Hou, Zhishan Deng, Yumin Zhou, Jie Hong, Fan Wu, Yuemao Li, Jinrong Huang, Cuiqiong Dai, Lifei Lu, Gaoying Tang and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MedComm, 2025. 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

17 authors.

Xiangqing HouGuangzhou National Laboratory Guangzhou International Bio Island Guangzhou China.
Zhishan DengState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Yumin ZhouGuangzhou National Laboratory Guangzhou International Bio Island Guangzhou China.
Jie HongInformation and Data Management Center Guangzhou Medical University Guangzhou China.
Fan WuGuangzhou National Laboratory Guangzhou International Bio Island Guangzhou China.
Yuemao LiState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Jinrong HuangInformation and Data Management Center Guangzhou Medical University Guangzhou China.
Cuiqiong DaiState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Lifei LuState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Gaoying TangState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Qi WanState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Kunning ZhouState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Xiaohui WuState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Jieqi PengState Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China.
Leqing ZhuGuangzhou National Laboratory Guangzhou International Bio Island Guangzhou China.
Ximo ChenInformation and Data Management Center Guangzhou Medical University Guangzhou China.
Pixin RanGuangzhou National Laboratory Guangzhou International Bio Island Guangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify novel phenotypes in patients with exacerbations of chronic obstructive pulmonary disease (ECOPD) to enable precise management, as current phenotypic classifications show limited utility in predicting patient prognosis. By analyzing data from a robust, retrospective multicenter registry (

Indexed as

ECOPDlatent class analysismulticenter studypersonalized medicinephenotypes

Identifiers

PMID41164802
PMCPMC12559894

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Registered trials

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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.