Evidence map›Paper›PMID 38812476›Full record

ArticleArthroplasty today2024

Agreement of the American Academy of Orthopaedic Surgeons Appropriate Use Criteria With Treatment Recommendations From Arthroplasty Surgeons.

T Jacob Selph, Linda I Suleiman, Manasa S Pagadala, Rachel Bergman, Patricia D Franklin, Adam I Edelstein

Abstract read
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Article in Arthroplasty today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

T Jacob SelphDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Linda I SuleimanDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Manasa S PagadalaNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Rachel BergmanDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Patricia D FranklinDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Adam I EdelsteinDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

Resource CoreP30AR072579 · NIAMS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Leena Sharma · 2017 to 2026
$8.3M
NIAMS NIH HHS P30 AR072579
6 · The paper itself

Abstract

Background: The American Academy of Orthopaedic Surgeons (AAOS) Appropriate Use Criteria (AUC) for Surgical Management of Osteoarthritis of the Knee (2016) and Management of Osteoarthritis of the Hip (2017) are intended to provide treatment recommendations for osteoarthritis (OA). This study examined the agreement of AUC appropriateness classifications with arthroplasty surgeon recommendations for total knee arthroplasty (TKA) and total hip arthroplasty (THA). Methods: The cohort included 558 OA patients (397 knee, 161 hip) referred to a specialty arthroplasty clinic. Surgeons completed the online AAOS AUC patient profiles to generate appropriateness ratings. Surgeons' recommendations for treatment were recorded. We performed univariate and bivariate analyses to evaluate relationships between AUC appropriateness and surgeon recommendations. Results: The knee OA AUC classified TKA as "appropriate" for 309 (77.8%) of the 397 knee OA patients. Surgeons recommended TKA for 123 (31.0%), resulting in 46.8% (n = 186) higher rate of "appropriate" classification by AUC than TKA recommendation by surgeons. Weighted Cohen's κ demonstrated slight agreement (κ = 0.06, 95% confidence interval: 0.04, 0.09) between AUC appropriateness and surgeon TKA recommendation. The hip OA AUC classified THA as "appropriate" for 98 (60.9%) of the 161 hip OA patients. Surgeons recommended THA for 76 (47.2%), resulting in 13.7% (n = 22) higher rate of "appropriate" classification by AUC than THA recommendation by surgeons. Weighted Cohen's κ demonstrated moderate agreement (κ = 0.47, 95% confidence interval: 0.37, 0.57) between the AUC appropriateness classification and the surgeon's THA recommendation. Conclusions: AAOS AUC guidelines indicated surgical appropriateness significantly more than arthroplasty surgeons. AUC agreed slightly with surgeons for TKA and moderately for THA.

Indexed as

Appropriate use criteriaOsteoarthritisTotal hip arthroplastyTotal knee arthroplasty

Identifiers

PMID38812476
PMCPMC11134556

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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.