Evidence map›Paper›PMID 36353065›Full record

ArticleEuropean urology open science2022

Which Type of Exercise During Radiation Therapy Is Optimal to Improve Fatigue and Quality of Life in Men with Prostate Cancer? A Bayesian Network Analysis.

Xingyu Xiong, Bin Zeng, Shiyu Zhang, Jiajia Du, Xinyang Liao, Siping Hu, Xingyang Su, Shi Qiu, Lu Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

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

9 authors at 2 institutions in 1 country.

Xingyu XiongDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Bin ZengDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Shiyu ZhangDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Jiajia DuState Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Xinyang LiaoDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Siping HuDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Xingyang SuDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Shi QiuDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Lu YangDepartment of Urology, Institute of Urology, Center of Biomedical Big Data and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Physical exercise in men with prostate cancer (CaP) has shown benefits in improving cancer-related fatigue (CRF) and quality of life (QoL) during radiation therapy. However, types of exercises that are more effective are not well understood. Evidence acquisition: We searched PubMed, Web of Science, and ClinicalTrials.gov up to November 2021 to identify potentially relevant studies. Randomized controlled trials (RCTs) testing the effects of exercise training on CRF, QoL, and treatment-related toxicities in patients with CaP undergoing radiation therapy were included. The quality of individual studies was evaluated using the Tool for the assEssment of Study qualiTy and reporting in Exercise (TESTEX) scale. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation method. A meta-regression analysis was conducted to test the study-level covariates. A random-effect network meta-analysis was conducted based on a Bayesian model. Evidence synthesis: Eight RCTs with 466 participants were included. Exercise achieved significant improvements in CRF (standardized mean difference [SMD] = 1.24, 95% confidence interval or CI [0.43, 2.06], I Conclusions: MICT/RES might be superior to any other types of exercise at reducing CRF. MICT/RES was more effective on significantly mitigating urinary and intestinal toxicities. Patient summary: In prostate cancer (CaP) survivors during radiation therapy, exercise training is an effective and safe intervention to reduce cancer-related fatigue (CRF) and improve quality of life (QoL), and should be prescribed as a rehabilitation option for clinical management. As for the types of exercises, moderate-intensity continuous training aerobic exercise and resistance exercise seem to be the most effective interventions to reduce CRF, improve QoL, and mitigate treatment-related symptoms.

Indexed as

Cancer-related fatigueExerciseProstate cancerQuality of lifeRadiation therapy

Identifiers

PMID36353065
PMCPMC9638772
OpenAlexW4291126814

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.