Evidence map›Paper›PMID 36727143›Full record

ArticleJournal of shoulder and elbow arthroplasty2023

Identification of Independent Predictors of Increased 90-Day Complication and Revision Rates Following Total Elbow Arthroplasty.

Bryce F Kunkle, Nicholas A Baxter, Megan E Welsh, Richard J Friedman, Josef K Eichinger

Abstract read
In one paragraph

Article in Journal of shoulder and elbow arthroplasty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Bryce F KunkleMedical University of South Carolina, Charleston, SC, USA.
Nicholas A BaxterMedical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0001-9560-3696
Megan E WelshMedical University of South Carolina, Charleston, SC, USA.
Richard J FriedmanMedical University of South Carolina, Charleston, SC, USA.
Josef K EichingerMedical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0001-8563-7307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Total elbow arthroplasty (TEA) is an increasingly popular surgical option for many debilitating conditions of the elbow. There currently exists a paucity of literature regarding patient and hospital factors that lead to inferior outcomes following TEA. The purpose of this study is to identify independent predictors of increased complication and revision rates following TEA. Methods: The National Readmissions Database (NRD) was queried from 2011 to 2018 to identify all cases of TEA (n = 8932). Relevant patient demographic factors, comorbidities, and hospital characteristics were identified and run in a univariate binomial logistic regression model. All significant variables were included in a multivariate binomial logistic regression model for data analysis. Results: Independent predictors of increased complication rates included age, female sex, Medicare and Medicaid payer status, medium bed-sized center, and 18 of 34 medical comorbidities (all Conclusion: This study identified several patient and hospital characteristics that are independently associated with both increased complication and revision rates following TEA. This information can aid orthopedic surgeons during shared decision making when considering TEA in patients. Level of Evidence: Level III, retrospective cohort study.

Indexed as

arthroplastycomplicationsdatabaseElbowoutcomesrevision

Identifiers

PMID36727143
PMCPMC9884946

What OpenQuestion holds

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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.