Evidence map›Paper›PMID 33245367›Full record

ReviewDer Unfallchirurg2021

[Irreparable rotator cuff tear-reverse shoulder arthroplasty and alternative procedures].

B D Kleim, S Siebenlist, B Scheiderer, A B Imhoff

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Unfallchirurg, 2021. 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. Review
  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

4 authors.

B D KleimAbteilung für Sportorthopädie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland. benjamin.kleim@tum.de.
S SiebenlistAbteilung für Sportorthopädie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland.
B ScheidererAbteilung für Sportorthopädie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland.
A B ImhoffAbteilung für Sportorthopädie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irreparable rotator cuff tears represent a significant everyday clinical challenge. A high degree of tendon retraction and muscle degeneration means that a direct reconstruction is impossible. Patients often suffer from pain and pseudoparalysis. In older patients this can reliably be resolved by the implantation of a semiconstrained inverse shoulder prosthesis; however, for younger patients joint-preserving techniques should be employed. Furthermore, for frail older patients who may not be suitable for a joint replacement operation, alternative treatment strategies are required. Management options include physiotherapy and pain relieving or reconstructive operations. Minimally invasive arthroscopic treatment approaches can lead to pain relief and slight functional improvements in selected patients; however, to restore the active movement of the joint a partial cuff repair, augmentation with a graft or replacement with muscle transfer is necessary. This article presents the various treatment options and the results reported in the literature. Through this a treatment algorithm is suggested in order to facilitate management decisions.

Indexed as

Arthroplasty, Replacement, ShoulderRotator Cuff InjuriesShoulder JointAgedHumansRange of Motion, ArticularRotator CuffTreatment OutcomeAlgorithmMass rupturePhysiotherapyShoulderShoulder prosthesis

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.