Evidence map›Paper›PMID 37222530›Full record

ArticleSICOT-J2023

Current trends in rehabilitation of rotator cuff injuries.

Fabio V Sciarretta, Daniel Moya, Kilian List

Open access · goldAbstract read
In one paragraph

Article in SICOT-J, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
9.5field-weighted citation impact, top 1% 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, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  7. Digitally assistedWorld journal of clinical cases · 2025
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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

3 authors at 1 institution in 1 country.

Fabio V SciarrettaClinica Nostra Signora della Mercede, 00198 Rome, Italy.ORCID 0000-0002-8920-8953
Daniel MoyaDepartment of Orthopedic Surgery, Hospital Británico de Buenos Aires, C1280 AEB, Argentina.ORCID 0000-0003-1889-7699
Kilian ListDepartment of Orthopedic Surgery, Koenig-Ludwig-Haus, University of Wuerzburg, Brettreichstraße 11, 97074 Wuerzburg, Germany.ORCID 0000-0002-9965-1799
Hospital Británico de Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rehabilitation has a fundamental role in the management of rotator cuff pathology whether the final choice is conservative or surgical treatment. Conservative treatment can give excellent results in cases of rotator cuff tendinopathies without rupture, partial tears less than 50% of the thickness of the tendon, chronic full-thickness tears in elderly patients and irreparable tears. It is an option prior to reconstructive surgery in non-pseudo paralytic cases. When surgery is indicated, adequate postoperative rehabilitation is the best complement to obtain a successful result. No consensus has still been established on the optimal postoperative protocol to follow. No differences were found between delayed, early passive and early active protocols after rotator cuff repair. However, early motion improved the range of motion in the short and mid-term, allowing faster recovery. A 5-phase postoperative rehabilitation protocol is described. Rehabilitation is also an option in specific failed surgical procedures. To choose a therapeutic strategy in these cases, it is reasonable to differentiate between Sugaya type 2 or 3 (tendinopathy of the tendon) and type 4 or 5 (discontinuity/retear). The rehabilitation program should always be tailored to the individual patient.

Indexed as

RehabilitationRehabilitation protocolRotator cuffRotator cuff repairShoulder

Identifiers

PMID37222530
PMCPMC10208043
OpenAlexW4377939028

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.