Evidence map›Paper›PMID 33787643›Full record

ArticleMedicine2021

Effect of Taijiquan assisted rehabilitation for breast cancer patients: A protocol for systematic review and meta-analysis.

Sihua Zhao, Rongna Lian, Ruinian Zhang, Fanghong Wang, Hao Chen, Run Wan

Abstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sihua ZhaoLanzhou University First Hospital Nursing Department (School of Nursing Lanzhou University).
Rongna LianThe First Clinical Medical College of Lanzhou University.
Ruinian ZhangThe First Clinical Medical College of Lanzhou University.
Fanghong WangGeneral Surgery Department of The First Hospital of Lanzhou University.
Hao ChenLanzhou University Second Hospital Oncology Center.
Run WanLanzhou University Second Hospital Nursing Department, Lanzhou, China.

Funding

he Gansu Province Science and Technology Plan Funded Project 20CX4ZA027
6 · The paper itself

Abstract

backgroundTaijiquan, as a supplementary and alternative method, has attracted more and more attention in the treatment of breast cancer. But up to now, no systematic review has been performed to evaluate the efficacy of Taijiquan in the treatment of breast cancer. In this study, Cochrane systematic review method will be used to evaluate the effect of Taijiquan in the rehabilitation process of breast cancer patients after treatment.

methodsPubMed, Embase. com, the Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and SinoMed will be searched to identify relevant studies up to May 31, 2021. We will include randomized controlled trials (RCTs) of the application of Taijiquan in post-treatment breast cancer patients. We will use the Cochrane bias risk assessment tool to assess the quality of included RCTs. We will use Stata 13.0 to perform pairwise meta-analyses using the inverse variance method. Subgroup analyses and sensitivity analyses will be conducted to investigate the sources of heterogeneity.

resultsThe results of this study will be published in a peer-reviewed journal.

conclusionThis study will comprehensively evaluate the efficacy of Taijiquan in the rehabilitation treatment of breast cancer. The results of this study will provide high-quality evidence to support clinical practice and guidelines development.

Indexed as

Tai JiBreast NeoplasmsCancer SurvivorsEvaluation Studies as TopicHumansMeta-Analysis as TopicRandomized Controlled Trials as TopicSystematic Reviews as TopicTreatment Outcome

Identifiers

PMID33787643
PMCPMC8021325

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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.