Evidence map›Paper›PMID 34909227›Full record

ReviewEFORT open reviews2021

Risk factors for full-thickness rotator cuff tears: a systematic review and meta-analysis.

Jinlong Zhao, Jianke Pan, Ling-Feng Zeng, Ming Wu, Weiyi Yang, Jun Liu

Open access · greenAbstract readReview
In one paragraph

Review in EFORT open reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. The substantial economic burden of rotator cuff pathology: A nationwide cost-of-illness study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
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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 at 1 institution in 1 country.

Jinlong ZhaoThe Second School of Clinical Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-7079-1336
Jianke PanThe Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Province Hospital of Traditional Chinese Medicine), Guangzhou, China.ORCID https://orcid.org/0000-0002-4596-6111
Ling-Feng ZengThe Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Province Hospital of Traditional Chinese Medicine), Guangzhou, China.ORCID https://orcid.org/0000-0003-1311-8641
Ming WuThe Second School of Clinical Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Weiyi YangThe Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Province Hospital of Traditional Chinese Medicine), Guangzhou, China.ORCID https://orcid.org/0000-0001-8657-2269
Jun LiuThe Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Province Hospital of Traditional Chinese Medicine), Guangzhou, China.ORCID https://orcid.org/0000-0002 -1943-3880
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotator cuff tears are a common condition of the shoulder, and 20.7% of people with the condition have a full-thickness rotator cuff tear. The purpose of this study was to explore the risk factors for full-thickness rotator cuff tears and to provide evidence to support the accurate diagnosis of full-thickness rotator cuff tears.Studies from PubMed, Embase and Web of Science published before 30 January 2021 were retrieved. All cohort studies and cross-sectional studies on risk factors for full-thickness rotator cuff tears were included. A meta-analysis was performed in RevMan 5.3 to calculate the relative risks (RRs) or weighted mean differences (WMDs) of related risk factors. Stata 15.1 was used for the quantitative analysis of publication bias.In total, 11 articles from six countries, including 4047 cases, with 1518 cases and 2529 controls, were included. The meta-analysis showed that age (MD = 0.76, 95% CI: 0.24 to 1.28, P = 0.004), hypertension (RR = 1.46, 95% CI: 1.17 to 1.81, P = 0.0007) and critical shoulder angle (CSA) (MD = 2.02, 95% CI: 1.55 to 2.48, P < 0.00001) were risk factors for full-thickness rotator cuff tears.Our results also suggested that body mass index, sex, dominant hand, smoking, diabetes mellitus and thyroid disease were not risk factors for full-thickness rotator cuff tears. Early identification of risk factors for full-thickness rotator cuff tears is helpful in identifying high-risk patients and choosing the appropriate treatment. Cite this article:

Indexed as

full thicknessmeta-analysisrisk factorsrotator cuff tear

Identifiers

PMID34909227
PMCPMC8631239
OpenAlexW4200157388

What OpenQuestion holds

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LicenceCC BY-NC
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.