Evidence map›Paper›PMID 38406816›Full record

SynthesisFrontiers in oncology2024

Various interventions for cancer-related fatigue in patients with breast cancer: a systematic review and network meta-analysis.

Ying Li, Lei Gao, Yaqing Chao, Tianhao Lan, Jie Zhang, Ruoqi Li, Zerui Zhang, Shuming Li, Jing Lian, Zhaofeng Wang and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. 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

11 authors at 7 institutions in 1 country.

Ying LiCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Lei GaoSchool of Nursing, Dalian University, Dalian, Liaoning, China.
Yaqing ChaoOphthalmology Department, Xuzhou First People's Hospital, Xuzhou, Jiangsu, China.
Tianhao LanSchool of Stomatology, Dalian University, Dalian, Liaoning, China.
Jie ZhangCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Ruoqi LiThe Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Zerui ZhangMedical School, Weifang University of Science and Technology, Weifang, Shandong, China.
Shuming LiCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Jing LianDepartment of Pathology, Cancer Hospital Affiliated to Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.
Zhaofeng WangCollege of Physical Education, Beibu Gulf University, Qinzhou, Guangxi, China.
Xiaoan ChenCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Jishou University · CNDalian University · CNBeibu Gulf University · CNShanxi Medical University · CNShanxi Provincial Cancer Hospital · CNWeifang University of Science and Technology · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the effects of various intervention approaches on cancer-related fatigue (CRF) in patients with breast cancer. Method: Computer searches were conducted on PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Wanfang databases from their establishment to June 2023. Selection was made using inclusion and exclusion criteria, and 77 articles were included to compare the effects of 12 interventions on patients with breast cancer. Results: Seventy-seven studies with 12 various interventions were examined. The network findings indicated that cognitive behavioral therapy (CBT) (SMD, -1.56; 95%CI, -3.08~-0.04), Chinese traditional exercises (CTE) (SMD, -0.85; 95%CI, -1.34~-0.36), aerobic exercise (AE) (SMD, -0.77; 95%CI, -1.09~-0.45), multimodal exercise (ME) (SMD, -0.75; 95%CI, -1.26~-0.25), music interventions (MI) (SMD, -0.74; 95%CI, -1.45~-0.03), and yoga (YG) (SMD, -0.44; 95%CI, -0.83 to -0.06) can reduce CRF more than the control group (CG). For relaxation exercises (RE) (MD, -6.69; 95%CI, -9.81~-3.57), MI (MD, -5.45; 95%CI, -7.98~-2.92), AE (MD, -4.34; 95%CI, -5.90~-2.78), ME (MD, -3.47; 95%CI, -4.95~-1.99), YG (MD, -2.07; 95%CI, -3.56~-0.57), and mindfulness training (MD, -1.68; 95%CI, -2.91~-0.46), PSQI improvement was superior to CG. In addition, for CTE (MD, 11.39; 95%CI, 4.11-18.66), YG (MD, 11.28; 95%CI, 1.63-20.93), and AE (MD, 9.34; 95%CI, 0.26~18.42), Functional Assessment of Cancer Therapy-Breast improvement was superior to CG. Conclusion: Cognitive behavioral therapy (CBT) is the most effective measure for alleviating CRF in patients with breast cancer and Relaxation exercises (RE) is the most effective measure for improving sleep quality. In addition, Chinese traditional exercises (CTE) is the best measure for enhancing quality of life. Additional randomized controlled trials (RCTs) are expected to further investigate the efficacy and mechanisms of these interventions. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42023471574.

Indexed as

breast cancercancerCFRnetwork meta-analysissystematic review

Identifiers

PMID38406816
PMCPMC10885696
OpenAlexW4391683733

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.