Evidence map›Paper›PMID 37902892›Full record

ArticleArchives of orthopaedic and trauma surgery2024

Does interaction occur between risk factors for revision total knee arthroplasty?

Georges J Bounajem, Josh DeClercq, Garen Collett, Gregory D Ayers, Nitin Jain

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Article in Archives of orthopaedic and trauma surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Georges J BounajemDepartment of Orthopaedic Surgery, UT Southwestern Medical Center, Dallas, TX, USA. gbounajem@gmail.com.ORCID http://orcid.org/0000-0002-9403-3262
Josh DeClercqDepartment of Biostatistics, Vanderbilt University, Nashville, TN, USA.
Garen CollettDepartment of Orthopaedic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Gregory D AyersDepartment of Biostatistics, Vanderbilt University, Nashville, TN, USA.
Nitin JainDepartment of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral risk factors for revision TKA have previously been identified, but interactions between risk factors may occur and affect risk of revision. To our knowledge, such interactions have not been previously studied. As patients often exhibit multiple risk factors for revision, knowledge of these interactions can help improve risk stratification and patient education prior to TKA. MATERIALS AND

methodsThe State Inpatient Databases (SID), part of the Healthcare Cost and Utilization Project (HCUP), were queried to identify patients who underwent TKA between January 1, 2006 and December 31, 2015. Risk factors for revision TKA were identified, and interactions between indication for TKA and other risk factors were analyzed.

resultsOf 958,944 patients who underwent TKA, 33,550 (3.5%) underwent revision. Age, sex, race, length of stay, Elixhauser readmission score, urban/rural designation, and indication for TKA were significantly associated with revision (p < 0.05). Age was the strongest predictor (p  < 0.0001), with younger patients exhibiting higher revision risk. Risks associated with age were modified by an interaction with indication for TKA (p < 0.0001). There was no significant interaction between sex and indication for TKA (p = 0.535) or race and indication for TKA (p = 0.187).

conclusionsAge, sex, race, length of stay, Elixhauser readmission score, urban/rural designation, and indication for TKA are significantly associated with revision TKA. Interaction occurs between age and indication.

Indexed as

Arthroplasty, Replacement, KneeReoperationAgedAged, 80 and overAge FactorsFemaleHumansLength of StayMaleMiddle AgedPatient ReadmissionRetrospective StudiesRisk FactorsSex FactorsUnited StatesDatabaseRevisionRisk factorTKA

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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.