Evidence map›Paper›PMID 30533589›Full record

ArticleJB & JS open access2018

Treatment for Rotator Cuff Tear Is Influenced by Demographics and Characteristics of the Area Where Patients Live.

Cole G Chapman, Sarah Bauer Floyd, Charles A Thigpen, John M Tokish, Brian Chen, John M Brooks

Abstract read
In one paragraph

Article in JB & JS open access, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Cole G ChapmanDepartments of Health Services Policy and Management (C.G.C., S.B.F., B.C., and J.M.B.) and Exercise Science (C.A.T.), Center for Effectiveness Research in Orthopaedics, University of South Carolina, Columbia, South Carolina.
Sarah Bauer FloydDepartments of Health Services Policy and Management (C.G.C., S.B.F., B.C., and J.M.B.) and Exercise Science (C.A.T.), Center for Effectiveness Research in Orthopaedics, University of South Carolina, Columbia, South Carolina.
Charles A ThigpenDepartments of Health Services Policy and Management (C.G.C., S.B.F., B.C., and J.M.B.) and Exercise Science (C.A.T.), Center for Effectiveness Research in Orthopaedics, University of South Carolina, Columbia, South Carolina.
John M TokishOrthopedic Sports Medicine, Mayo Clinic Arizona.
Brian ChenDepartments of Health Services Policy and Management (C.G.C., S.B.F., B.C., and J.M.B.) and Exercise Science (C.A.T.), Center for Effectiveness Research in Orthopaedics, University of South Carolina, Columbia, South Carolina.
John M BrooksDepartments of Health Services Policy and Management (C.G.C., S.B.F., B.C., and J.M.B.) and Exercise Science (C.A.T.), Center for Effectiveness Research in Orthopaedics, University of South Carolina, Columbia, South Carolina.

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
NCATS NIH HHS UL1 TR001086
6 · The paper itself

Abstract

backgroundAtraumatic rotator cuff tear is a common orthopaedic complaint for people >60 years of age. Lack of evidence or consensus on appropriate treatment for this type of injury creates the potential for substantial discretion in treatment decisions. To our knowledge, no study has assessed the implications of this discretion on treatment patterns across the United States.

methodsAll Medicare beneficiaries in the United States with a new magnetic resonance imaging (MRI)-confirmed atraumatic rotator cuff tear were identified with use of 2010 to 2012 Medicare administrative data and were categorized according to initial treatment (surgery, physical therapy, or watchful waiting). Treatment was modeled as a function of the clinical and demographic characteristics of each patient. Variation in treatment rates across hospital referral regions and the presence of area treatment signatures, representing the extent that treatment rates varied across hospital referral regions after controlling for patient characteristics, were assessed. Correlations between measures of area treatment signatures and measures of physician access in hospital referral regions were examined.

resultsAmong patients who were identified as having a new, symptomatic, MRI-confirmed atraumatic rotator cuff tear (n = 32,203), 19.8% were managed with initial surgery; 41.3%, with initial physical therapy; and 38.8%, with watchful waiting. Patients who were older, had more comorbidity, or were female, of non-white race, or dual-eligible for Medicaid were less likely to receive surgery (p < 0.0001). Black, dual-eligible females had 0.42-times (95% confidence interval [CI], 0.34 to 0.50) lower odds of surgery and 2.36-times (95% CI, 2.02 to 2.70) greater odds of watchful waiting. Covariate-adjusted odds of surgery varied dramatically across hospital referral regions; unadjusted surgery and physical therapy rates varied from 0% to 73% and from 6% to 74%, respectively. On average, patients in high-surgery areas were 62% more likely to receive surgery than the average patient with identical measured characteristics, and patients in low-surgery areas were half as likely to receive surgery than the average comparable patient. The supply of orthopaedic surgeons and the supply of physical therapists were associated with greater use of initial surgery and physical therapy, respectively.

conclusionsPatient characteristics had a significant influence on treatment for atraumatic rotator cuff tear but did not explain the wide-ranging variation in treatment rates across areas. Local-area physician supply and specialty mix were correlated with treatment, independent of the patient's measured characteristics.

Identifiers

PMID30533589
PMCPMC6242323

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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.