Evidence map›Paper›PMID 42757326›Full record

ArticleJB & JS open access

Will the Knee Outlive the Patient? Kaplan-Meier Systematically Overstates the Lifetime Risk of Revision After Total Knee Arthroplasty.

Wayne Hoskins, Charles A Gusho, Kenrick Rosser

Abstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wayne HoskinsDepartment of Orthopaedics, Whangārei Hospital, Te Whatu Ora Te Tai Tokerau, Whangārei, Aotearoa New Zealand.ORCID https://orcid.org/0000-0003-0608-3065
Charles A GushoMissouri Orthopedic Institute, University of Missouri, Columbia, Missouri.ORCID https://orcid.org/0000-0002-8897-3688
Kenrick RosserDepartment of Orthopaedics, Whangārei Hospital, Te Whatu Ora Te Tai Tokerau, Whangārei, Aotearoa New Zealand.ORCID https://orcid.org/0000-0003-4309-4185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lifetime revision risk after total knee arthroplasty (TKA) is usually estimated from Kaplan-Meier survivorship, which treats death as noninformative censoring and overstates revision incidence when competing mortality is substantial. The bias increases with age. We quantified the discrepancy between Kaplan-Meier and competing-risk estimates and derived the age- and sex-specific probability of dying with the original TKA. Methods: We analyzed 2,920 primary TKAs from a 15-year multisurgeon single-institution database linked to the New Zealand Joint Registry. Revision and death were modelled as competing events using Aalen-Johansen cumulative incidence functions and Fine-Gray subdistribution hazards, with patient-level clustering for bilateral cases. Kaplan-Meier estimates censoring death served as the benchmark. Cohort mortality was compared with the New Zealand population using standardized mortality ratios (SMRs) from 2017 to 2019 life tables. Results: There were 155 revisions and 525 deaths (median follow-up 7.4 years). The 15-year revision estimate was 8.3% by Kaplan-Meier versus 7.4% by competing-risk estimation overall, and 5.6% versus 3.0% in patients aged 85 years or older (relative overestimation >80%). At 10 years, cumulative incidence of revision was 5.7% (95% CI 4.8-6.7) versus 19.9% (18.2-21.8) for death, diverging with age (85 years or older: 3.0% versus 67.6%). 97% of patients aged 75 years or older died with the original TKA. Each 10-year age increment lowered the revision hazard (sHR 0.76, 0.61-0.94) and raised mortality (HR 2.33, 2.02-2.68). Cohort mortality was lower than the general population (SMR 0.73, 0.66-0.79). Among Māori, this relative advantage (SMR 0.66) was absent against the total population (SMR 1.11). Conclusions: Kaplan-Meier systematically overstates absolute lifetime revision incidence after TKA, most in older patients for whom competing mortality dominates. Age- and sex-specific competing-risk estimates provide more accurate preoperative figures and should be reported alongside Kaplan-Meier when presenting long-term revision risk. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID42757326
PMCPMC13585326

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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.