Evidence map›Paper›PMID 37266164›Full record

ArticleJSES international2023

Shoulder activity of the contralateral shoulder as a prognostic factor in patients with arthroscopic rotator cuff repair.

Tomohiro Uno, Nariyuki Mura, Issei Yuki, Michiaki Takagi

Open access · goldAbstract read
In one paragraph

Article in JSES international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Tomohiro UnoDepartment of Orthopaedic Surgery, Faculty of Medicine, Yamagata University, Yamagata, Japan.
Nariyuki MuraDepartment of Orthopaedic Surgery, Yoshioka Hospital, Tendō, Japan.
Issei YukiDepartment of Orthopaedic Surgery, Faculty of Medicine, Yamagata University, Yamagata, Japan.
Michiaki TakagiDepartment of Orthopaedic Surgery, Faculty of Medicine, Yamagata University, Yamagata, Japan.
Yamagata University · JPYukioka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate the prognosticator of the contralateral rotator cuff in patients who underwent arthroscopic rotator cuff repair (ARCR) for symptomatic rotator cuff tear (RCT). Methods: A total of 104 patients with a mean age of 64.7 years (range, 40-83 years) underwent ARCR and were checked for the presence of a contralateral RCT using preoperative ultrasonography. Preoperative demographic data, including patients' occupations and sports activities, were also evaluated. Results: The mean follow-up period for the operated shoulder was 25.0 months (range, 12-72 months). An RCT of the contralateral shoulder was observed in 40 of the 104 (38.5%) patients. Contralateral shoulder pain was observed in 16 (40%) and 15 (23.1%) patients in the RCT group preoperatively and the non-tear group, respectively. Of the 31 patients with shoulder pain, a poor prognosis was seen in 17 (54.8%). Statistical significance was observed between the active and sedentary groups in the RCT group, with eight patients (30.8%) in the active group and none in the sedentary group having a poor prognosis ( Conclusions: For patients in the active group, RCTs are a risk factor for poor prognosis in the contralateral shoulder of ARCR.

Indexed as

Arthroscopic rotator cuff repair (ARCR)Clinical outcomeContralateralOccupationsRange of motionShoulder activitySports

Identifiers

PMID37266164
PMCPMC10229406
OpenAlexW4319869052

What OpenQuestion 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 OpenQuestion graph.