Evidence map›Paper›PMID 33885945›Full record

ReviewKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2022

Cell-based therapy of the elbow: evidence for lateral tendinopathy-a review on current treatments.

Stefan Greiner, Robert Lawton, Andreas Voss

Abstract readReview
PubMed Publisher
In one paragraph

Review in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Stefan GreinerSporthopaedicum Regensburg, Hildegrad-von-Bingen-Str. 1, 93053, Regensburg, Germany. greiner@sporthopaedicum.de.ORCID http://orcid.org/0000-0003-1667-3237
Robert LawtonSporthopaedicum Regensburg, Hildegrad-von-Bingen-Str. 1, 93053, Regensburg, Germany.
Andreas VossSporthopaedicum Regensburg, Hildegrad-von-Bingen-Str. 1, 93053, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCell-based therapies are on the rise in treating intra and extraarticular pathologies, trying to avoid surgical intervention and support local repair processes. Therefore, the aim was to summarize current evidence-based treatment options for a cell-based therapy around the elbow.

methodsThrough a literature review up-to date treatment algorithms and therapies have been identified and have been rated according to their evidence level for clinical recommendation.

resultsRegarding the four extraarticular anatomical regions of the elbow (anterior, medial, posterior and lateral) and the joint itself, the lateral elbow and its´ tendinopathies as well as the use of cell-based treatment options have been extensively studied and, therefore, allow for clear and evidence-based recommendations. The remaining three regions as wells as the intraarticular application do not show enough evidence for a clinical recommendation.

conclusionIn conclusion the cell-based approach for treating elbow pathologies can only be recommended for the lateral elbow, as there has been shown sufficient evidence for the extraarticular application. It has to be mentioned, that the results from the lateral elbow maybe transferred to other extra-articular tendinopathies, as the lack of evidence may be due to the rare appearance of posterior, medial and anterior tendon affection. No recommendation can be given for intra-articular use. LEVEL OF EVIDENCE: IV.

Indexed as

Elbow JointTendinopathyElbowHumansTendonsCell-based therapyElbowInjectionPRPTendinopathy

Identifiers

What OpenQuestion holds

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Registered trials

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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.