Evidence map›Paper›PMID 38627663›Full record

ArticleBMC musculoskeletal disorders2024

Clinical phenotypes of comorbidities in end-stage knee osteoarthritis: a cluster analysis.

Jun Ma, Kai Zhang, Xilong Ma, Hao Wang, Chao Ma, Yahui Zhang, Ruiyu Liu

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Jun MaDepartment of Orthopedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Kai ZhangNingxia Medical University Third Clinical Medical School, Yinchuan City, Ningxia, China.
Xilong MaNingxia Medical University Third Clinical Medical School, Yinchuan City, Ningxia, China.
Hao WangNingxia Medical University Third Clinical Medical School, Yinchuan City, Ningxia, China.
Chao MaDepartment of Orthopaedics, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan City, Ningxia, China.
Yahui ZhangNingxia Medical University Third Clinical Medical School, Yinchuan City, Ningxia, China.
Ruiyu LiuDepartment of Orthopedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China. 18245996629@163.com.
Ningxia Medical University · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

The Science and Technology Bureau of Yinchuan City No. 2021-SF-011
6 · The paper itself

Abstract

objectivesComorbidities, as components of these heterogeneous features, often coexist with knee osteoarthritis, and are particularly prevalent in end-stage knee osteoarthritis. Here, we attempted to identify the different clinical phenotypes of comorbidities in patients with end-stage knee osteoarthritis by cluster analysis.

methodsA total of 421 inpatients diagnosed with end-stage knee osteoarthritis who underwent inpatient surgery were included in this cross-sectional study. 23 demographic, comorbidity, inflammatory immune and evaluation scale variables were collected. Systematic clustering after factor analysis and separate two-step cluster analysis were performed for individual comorbidity variables and all variables, respectively, to objectively identify the different clinical phenotypes of the study patients.

resultsFour clusters were finally identified. Cluster 1 had the largest proportion of obese patients (93.8%) and hypertension was common (71.2%). Almost all patients in cluster 2 were depressed (95.8%) and anxiety disorders (94.7%). Cluster 3 combined patients with isolated end-stage knee osteoarthritis and a few comorbidities. Cluster 4 had the highest proportion of patients with rheumatoid arthritis (58.8%).

conclusionsPatients with end-stage knee osteoarthritis may be classified into four different clinical phenotypes: "isolated end-stage knee osteoarthritis"; "obesity + hypertension"; "depression + anxiety"; and "rheumatoid arthritis", which may help guide individualized patient care and treatment strategies.

Indexed as

HypertensionOsteoarthritis, KneeCluster AnalysisComorbidityCross-Sectional StudiesHumansObesityPhenotypeActor analysisCluster analysisComorbidityOsteoarthritisPhenotypes

Identifiers

PMID38627663
PMCPMC11022443
OpenAlexW4394869437

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.