Evidence map›Paper›PMID 36931362›Full record

ArticleThe Journal of arthroplasty2023

Is the American Joint Replacement Registry Able to Correctly Classify Revision Total Knee Arthroplasty Procedural Diagnoses?

Jacob M Wilson, Samuel E Broida, Hilal Maradit-Kremers, James B Browne, Bryan D Springer, Daniel J Berry, David G Lewallen, Nicholas A Bedard

Abstract read
In one paragraph

Article in The Journal of arthroplasty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Jacob M WilsonDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
Samuel E BroidaDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
Hilal Maradit-KremersDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
James B BrowneDepartment of Orthopedic Surgery, University of Virginia, Charlottesville, Virginia.
Bryan D SpringerDepartment of Orthopedics, Atrium Health, OrthoCarolina Hip and Knee Center, Charlotte, North Carolina.
Daniel J BerryDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
David G LewallenDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
Nicholas A BedardDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.

Funding

Resource CoreP30AR076312 · NIAMS · MAYO CLINIC ROCHESTER · PI Daniel Berry · 2019 to 2026
$5.5M
Precision Orthopedics: Multimodal Data Infrastructure for Personalized Surgical Decisions in Joint ArthroplastyR01AR073147 · NIAMS · MAYO CLINIC ROCHESTER · PI Hilal Maradit Kremers · 2018 to 2026
$3.5M
Cardiotoxicity in Total Joint ArthroplastyR01HL147155 · NHLBI · MAYO CLINIC ROCHESTER · PI MARADIT KREMERS, HILAL · 2019 to 2022
$2.8M
NHLBI NIH HHS R01 HL147155NIAMS NIH HHS P30 AR076312NIAMS NIH HHS R01 AR073147
6 · The paper itself

Abstract

backgroundThe American Joint Replacement Registry (AJRR) is a powerful tool for the study of revision total knee arthroplasty (rTKA). The AJRR uses International Classification of Diseases-10 (ICD-10-CM) codes for recording surgical diagnoses. However, the validity of this methodology is unknown. The purpose of this study was to determine the accuracy of ICD-10-CM codes, as used by AJRR, in classifying rTKA diagnoses.

methodsThere were 988 rTKAs performed from 2015 to 2021 identified in our institutional total joint registry (TJR). Revision diagnoses were obtained from TJR, in which trained abstractors prospectively record diagnoses independent of ICD-10-CM data. The ICD-10-CM diagnosis codes submitted to AJRR were retrieved for the same procedures. The accuracy of ICD-10-CM codes for classifying rTKA diagnoses as septic versus aseptic, aseptic loosening, instability, and periprosthetic fracture was assessed using Cohen's Kappa statistics, sensitivities, and specificities.

resultsConcordance between AJRR-submitted codes and TJR was excellent (97.3%, k = 0.9) for identifying septic versus aseptic revisions. Agreement for aseptic diagnoses varied from very good for loosening (k = 0.65) and instability (k = 0.64) to fair for periprosthetic fracture (k = 0.36). Specificity was high (> 94%) for all three diagnoses, but sensitivity was lower at 71%, 63%, and 28% for loosening, instability, and periprosthetic fracture, respectively.

conclusionThe AJRR submitted ICD-10-CM diagnosis codes correctly classified rTKA cases as septic or aseptic with remarkable accuracy, but accuracy for more granular diagnoses varied. These data demonstrate the potential for diagnosis-specific limitations when using administrative claims data for registry reporting and have important implications for researchers using ICD-10-CM data.

Indexed as

Arthroplasty, ReplacementArthroplasty, Replacement, KneePeriprosthetic FracturesHumansRegistriesReoperationRetrospective StudiesUnited StatesAJRRICD-10RegistryrevisionTotal knee arthroplasty

Identifiers

PMID36931362
PMCPMC10200748

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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.