Evidence map›Paper›PMID 37079036›Full record

SynthesisZeitschrift fur Rheumatologie2024

Effects of exercise on depression in patients with rheumatic diseases: a systematic review and meta-analysis.

Yanfeng Bao, Qian Liang, Juan Ji, Chun Cheng, Chen Dong, Rui Zhao

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Zeitschrift fur Rheumatologie, 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
0.7field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Yanfeng BaoNanjing University of Traditional Chinese Medicine, 210023, Nanjing, China.
Qian LiangDepartment of Rheumatology, Affiliated Hospital of Nantong University, 226001, Nantong, China.
Juan JiDepartment of Rheumatology, Affiliated Hospital of Nantong University, 226001, Nantong, China.
Chun ChengNanjing University of Traditional Chinese Medicine, 210023, Nanjing, China.
Chen DongDepartment of Rheumatology, Affiliated Hospital of Nantong University, 226001, Nantong, China. dongchensc@126.com.
Rui ZhaoDepartment of Rheumatology, Affiliated Hospital of Nantong University, 226001, Nantong, China. zrui512@163.com.ORCID http://orcid.org/0000-0002-5629-738X
Nantong University · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effects of exercise intervention on depression in rheumatic diseases by means of a meta-analysis.

methodsThe Cochrane Library, Embase, Medline, PubMed, and relevant records were searched. The qualities of randomized controlled trials were evaluated. Meta-analysis of the obtained related data was completed using RevMan 5.3. Heterogeneity was also evaluated with χ

resultsTwelve RCTs were reviewed. Compared with baseline, the meta-analysis results showed that there was significant difference in the improvement of depression assessed by HADs, BDI, CES‑D, and AIMS in patients with rheumatic diseases (post exercise vs. baseline, -0.73 [-1.05, -0.4], P < 0.0001, I

conclusionAs an alternative or supplementary treatment, the effect of exercise on rheumatism is obvious. Rheumatologists can consider exercise as an integral part of the treatment of patients with rheumatism.

Indexed as

DepressionExercise TherapyRheumatic DiseasesAdultAgedFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicTreatment OutcomeDepressionExerciseMeta-analysisRheumatic diseasesSystematic review

Identifiers

PMID37079036
OpenAlexW4366464191

What OpenQuestion holds

Textmetadata
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.