Evidence map›Paper›PMID 39744379›Full record

ArticleFrontiers in public health2024

Health-related quality of life profiles in patients with rheumatoid arthritis: a latent profile analysis.

Yuqing Song, Yanling Chen, Liting Wen, Benyi He, Yulin Ding, Mei Liu, Fangmei Tang, Li Wang, Jianmei Wu, Xue Deng and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

12 authors.

Yuqing SongDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Yanling ChenDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Liting WenDepartment of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Benyi HeDepartment of Hepatobiliary Pancreatic Vascular Surgery, The First Hospital of Kunming, Kunming, Yunnan, China.
Yulin DingSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Mei LiuDepartment of Rheumatology and Immunology, Deyang People's Hospital, Deyang, Sichuan, China.
Fangmei TangKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
Li WangDepartment of Rheumatology and Immunology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Jianmei WuDepartment of Rheumatology and Immunology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Xue DengDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Lu XingDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Wen ZhaoDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rheumatoid arthritis (RA) is a common rheumatic disease that most commonly affects joints and negatively impacts individuals' health-related quality of life (HRQoL). Although some studies have explored HRQoL of RA patients, existing studies treated RA patients as a homogeneous group based on their overall HRQoL and ignore the heterogeneity of patients' HRQoL patterns. This study aimed to identify subgroups of RA patients based on their HRQoL and variables associated with group membership. Methods: This was a multi-center cross-sectional study conducted at 3 tertiary hospitals. All participants completed standardized questionnaires including demographic variables, HRQoL, physical function, disease activity and self-efficacy. Latent profile analysis was used to identify the optimal number of subgroups (profiles) and multinomial logistic regression analysis was used to explore variables associated with profile membership. Results: The analysis revealed 3 profiles of RA patients: poor HRQoL ( Conclusion: This study identified 3 profiles of HRQoL within RA patients and found that physical function and educational level was associated with HRQoL profiles. The finding can provide the basis for developing tailored interventions to specific subgroups of RA patients.

Indexed as

Arthritis, RheumatoidQuality of LifeAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesdisease activitylatent profile analysisphysical functionquality of liferheumatoid arthritis

Identifiers

PMID39744379
PMCPMC11688321

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.