Evidence map›Paper›PMID 30008172›Full record

ReviewAnnals of the New York Academy of Sciences2019

Biologics and stem cell-based therapies for rotator cuff repair.

Spencer T Bianco, Helen L Moser, Leesa M Galatz, Alice H Huang

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  9. Rotator cuff healing is regulated by the lymphatic vasculature.Journal of orthopaedic translation · 2023
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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

4 authors at 2 institutions in 2 countries.

Spencer T BiancoDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, New York.
Helen L MoserDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, New York.
Leesa M GalatzDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, New York.
Alice H HuangDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-5037-6829
Icahn School of Medicine at Mount Sinai · USUniversity of Bern · CH

Funding

Mechanisms of TGFbeta and Smad signaling in tendon regeneration and fibrosisR01AR069537 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HUANG, ALICE H · 2016 to 2020
$2.1M
NIAMS NIH HHS R01 AR069537
6 · The paper itself

Abstract

The rotator cuff is composed of several distinct muscles and tendons that function in concert to coordinate shoulder motion. Injuries to these tendons frequently result in permanent dysfunction and persistent pain. Despite considerable advances in operation techniques, surgical repair alone still does not fully restore rotator cuff function. This review focuses on recent research in the use of biologics and stem cell-based therapies to augment repair, highlighting promising avenues for future work and remaining challenges. While a number of animal models are used for rotator cuff studies, the anatomy of the rotator cuff varies dramatically between species. Since the rodent rotator cuff shares the most anatomical features with the human, this review will focus primarily on rodent models to enable consistent interpretation of outcome measures.

Indexed as

Stem Cell TransplantationAnimalsBiological ProductsCell DifferentiationDisease Models, AnimalHumansMesenchymal Stem CellsRotator Cuff InjuriesBiological Productsinjuryrotator cuffstem cellstendon

Identifiers

PMID30008172
PMCPMC6333521
OpenAlexW2883901164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.