Evidence map›Paper›PMID 32629749›Full record

Observational studyMedicine2020

Use sonoelastography to predict the reparability of large-to-massive rotator cuff tears.

Yu-Hsuan Tseng, Wen-Yi Chou, Kuan-Ting Wu, Ching-Di Chang, Yi-Cun Chen, Yu-Chi Huang, Wei-Che Lin, Po-Cheng Chen

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03682679 (Use Sonoelastography to Predict the Reparability of Large-to-massive Rotator Cuff Tears), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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.

NCT03682679 completednot on this map

Use Sonoelastography to Predict the Reparability of Large-to-massive Rotator Cuff Tears

TypeobservationalSponsorChang Gung Memorial HospitalRan2018 to 2020Enrolled50ConditionsRotator Cuff TearArmsSonoelastography
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  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

8 authors at 2 institutions in 1 country.

Yu-Hsuan TsengDepartment of Physical Medicine and Rehabilitation.
Wen-Yi ChouDepartment of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine.
Kuan-Ting WuDepartment of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine.
Ching-Di ChangDepartment of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung.
Yi-Cun ChenDepartment of Physical Medicine and Rehabilitation.
Yu-Chi HuangDepartment of Physical Medicine and Rehabilitation.
Wei-Che LinDepartment of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung.
Po-Cheng ChenDepartment of Physical Medicine and Rehabilitation.ORCID 0000-0002-6386-2850
Chang Gung University · TWNational Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMost symptomatic large-to-massive rotator cuff tears (RCTs) should be operated, but the surgical reparability depended on the degree of rotator cuff muscle atrophy or fatty infiltration. The orthopedic surgeons will decide whether the teared stump is reparable during the surgery, but preoperative evaluation can be done by some assessment tools. Magnetic resonance imaging (MRI) was used in recent studies to predict the reparability of large-to-massive RCTs, but the clinical availability was not as good as ultrasound. We hypothesize that the ultrasound elastography can predict the reparability of large-to-massive RCTs.

methodsThis is a prospective observational study and participants with large-to-massive RCTs who are going to have surgeries will be included. Out investigators will evaluate the shoulder passive range of motion (ROM) and strength of all participants. Participants' degree of shoulder pain and activities of daily living (ADLs) will be assessed by American Shoulder and Elbow Surgeons (ASES) score. The ultrasound elastography will be used to evaluate the tissue quality of supraspinatus muscle and infraspinatus muscle. To test the reliability of the ultrasound elastography, two physicians will perform the ultrasound elastography independently and twenty participants will be selected for the reliability test. Besides, MRI will be used to evaluate the size of tear, the degree of tendon retraction, fatty infiltration of rotator cuff muscles, and muscle atrophy. Finally, the orthopedic surgeons will perform surgeries and decide whether the teared stump can be completely repaired intraoperatively. The primary analysis is the predictive validity of ultrasound elastography for the reparability of large-to-massive RCTs. Before the predictive validity of ultrasound elastography is measured, our investigators will assess the reliability of ultrasound elastography when administered to cases with large-to-massive RCTs, and we will check the correlations between the findings of ultrasound elastography and MRI. DISCUSSION: The outcome will provide the evidence of ultrasound elastography for preoperative evaluation of large-to-massive RCTs. The relationships between the findings of ultrasound elastography and MRI will also be examined for further analysis.

trial registrationClinicaltrials.gov NCT03682679. Date of Registration: 25 September 2018, https://clinicaltrials.gov/ct2/show/NCT03682679?cond=rotator+cuff&cntry=TW&draw=2&rank=1.

Indexed as

Activities of Daily LivingAdipose TissueFemaleHumansMagnetic Resonance ImagingMaleMuscular AtrophyPredictive Value of TestsPreoperative PeriodProspective StudiesRange of Motion, ArticularReproducibility of ResultsRotator CuffRotator Cuff InjuriesRuptureShoulder

Identifiers

PMID32629749
PMCPMC7337429
OpenAlexW3039967051

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.