Evidence map›Paper›PMID 38959209›Full record

SynthesisPloS one2024

Effects of different exercise types and cycles on pain and quality of life in breast cancer patients: A systematic review and network meta-analysis.

Jin Dong, Desheng Wang, Shuai Zhong

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
–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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. 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

3 authors.

Jin DongPhysical Education Institute, Shanxi University, Taiyuan, China.
Desheng WangPhysical Education Institute, Shanxi University, Taiyuan, China.ORCID 0009-0004-4620-8242
Shuai ZhongDepartment of Rehabilitation Medicine, Dazhou Central Hospital, Dazhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the effect of different combinations of different exercise modalities with different training cycles on the improvement of quality of life and pain symptoms in breast cancer patients.

methodsThe databases PubMed, Web of Science, Embase, and Scopus were searched through a computer network with a search deadline of 23 August 2023. Two researchers independently screened the literature, extracted data and performed methodological quality assessment of the included literature, and then performed the corresponding statistical analyses and graphing using stata17.0.

resultsThirty-six randomized control trial (RCT) studies involving 3003 participants and seven exercise modalities were included. Most of the exercise modalities improved patients' quality of life compared to usual care, with long-term aerobic combined with resistance exercise [SMD = 0.83,95% CI = 0.34,1.33,p = 0.001] and YOGA [SMD = 0.61,95% CI = 0.06,1.16,p = 0.029] treatments having a significant effect. For pain and fatigue-related outcome indicators, the treatment effect was not significant for all exercise modalities included in the analysis compared to the control group, but tended to be beneficial for patients.

conclusionLong-term aerobic combined with resistance exercise was the most effective in improving quality of life and fatigue status in breast cancer patients, and aerobic exercise was more effective in improving pain symptoms in breast cancer patients.

Indexed as

Breast NeoplasmsExercise TherapyQuality of LifeCancer PainExerciseFemaleHumansPainRandomized Controlled Trials as TopicResistance Training

Identifiers

PMID38959209
PMCPMC11221662

What OpenQuestion holds

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LicenceCC BY
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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.