Evidence map›Paper›PMID 38318832›Full record

ReviewCombinatorial chemistry & high throughput screening2024

Research Progress of TCM Therapy for Rotator Cuff Injury.

Xianquan Zhang, Guanghui Zhou, Zhuoxu Gu, Minghui Luo, Guihong Liang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Combinatorial chemistry & high throughput screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

5 authors.

Xianquan ZhangThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Guanghui ZhouThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Zhuoxu GuThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Minghui LuoThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Guihong LiangThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.

Funding

Guangdong Provincial Hospital of Traditional Chinese Medicine (No.BJ2022KY01),No.YN2020MS16).,No.YN2022GK05,(No.YN2019ML08,(No.BJ2022KY01)National Natural Science Foundation of China (NSFC) (No.82004383)Traditional Chinese Medicine Bureau of Guangdong Province No.20231109),(No.20225025
6 · The paper itself

Abstract

backgroundRotator cuff injury is a common orthopedic disease with high morbidity, which is one of the most important reasons for shoulder pain and limited movement. With the development of more research, the Traditional Chinese Medicine(TCM) therapy for rotator cuff injury is increasingly rich, and has achieved a good curative effect.

methodTCM has certain characteristics and advantages, which may become the main development trend of the treatment. By consulting the relevant literature on TCM therapy for rotator cuff injury in recent years, we found that commonly used TCM therapy include Chinese herbal therapy, Chinese herbal compounds.

resultExternal treatment of Chinese herbal therapy, Acupuncture therapy, Floating needle therapy, Massage therapy, and others, which make a great clinical effect.

conclusionThis paper summarizes and analyzes the common TCM therapy of the rotator cuff injury, to provide new ideas for the selection of clinical treatment options.

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalRotator Cuff InjuriesAcupuncture TherapyHumansDrugs, Chinese Herbalacupuncturemassagereview.Rotator cuff injuryTCMtherapy

Identifiers

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.