Evidence map›Paper›PMID 25793161›Full record

ReviewWorld journal of orthopedics2015

Factors affecting healing after arthroscopic rotator cuff repair.

Amir M Abtahi, Erin K Granger, Robert Z Tashjian

Abstract readReview
In one paragraph

Review in World journal of orthopedics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
–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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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28 more citing papers are in PubMed but not listed here.

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.

Amir M AbtahiAmir M Abtahi, Erin K Granger, Robert Z Tashjian, Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT 84108, United States.
Erin K GrangerAmir M Abtahi, Erin K Granger, Robert Z Tashjian, Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT 84108, United States.
Robert Z TashjianAmir M Abtahi, Erin K Granger, Robert Z Tashjian, Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT 84108, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotator cuff repair has been shown to have good long-term results. Unfortunately, a significant proportion of repairs still fail to heal. Many factors, both patient and surgeon related, can influence healing after repair. Older age, larger tear size, worse muscle quality, greater muscle-tendon unit retraction, smoking, osteoporosis, diabetes and hypercholesterolemia have all shown to negatively influence tendon healing. Surgeon related factors that can influence healing include repair construct-single vs double row, rehabilitation, and biologics including platelet rich plasma and mesenchymal stem cells. Double-row repairs are biomechanically stronger and have better healing rates compared with single-row repairs although clinical outcomes are equivalent between both constructs. Slower, less aggressive rehabilitation programs have demonstrated improved healing with no negative effect on final range of motion and are therefore recommended after repair of most full thickness tears. Additionally no definitive evidence supports the use of platelet rich plasma or mesenchymal stem cells regarding improvement of healing rates and clinical outcomes. Further research is needed to identify effective biologically directed augmentations that will improve healing rates and clinical outcomes after rotator cuff repair.

Indexed as

HealingRepairRotator cuff tearShoulderTendon

Identifiers

PMID25793161
PMCPMC4363803

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.