Evidence map›Paper›PMID 33553547›Full record

ArticleArthroplasty today2021

Preoperative Predictors of Same-Day Discharge After Total Knee Arthroplasty.

Justin J Turcotte, Nandakumar Menon, McKayla E Kelly, Jennifer J Grover, Paul J King, James H MacDonald

Abstract read
In one paragraph

Article in Arthroplasty today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Ambulatory total hip and knee arthroplasty: a literature review and perioperative considerations.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2024
    Review
  7. Article
  8. Observational
  9. Adapting Physical Therapy Practice for the "Short-Stay" Total Joint Arthroplasty Patient: A Commentary.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2024
    Article
  10. Article
  11. Outpatient Total Joint Arthroplasty: Are We Closing the Racial Disparities Gap?Journal of racial and ethnic health disparities · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. 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

6 authors.

Justin J TurcotteDepartment of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, USA.
Nandakumar MenonDepartment of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, USA.
McKayla E KellyDepartment of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, USA.
Jennifer J GroverDepartment of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, USA.
Paul J KingDepartment of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, USA.
James H MacDonaldDepartment of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn January 2020, The Centers for Medicare and Medicaid Services approved total knee arthroplasty (TKA) to be performed in ambulatory surgery centers (ASCs). This study aims to develop a predictive model for targeting appropriate patients for ASC-based TKA.

methodsA retrospective review of 2266 patients (205 same-day discharge [SDD; 9.0%] and 2061 one-day length of stay [91.0%]) undergoing TKA at a regional medical center between July 2016 and September 2020 was conducted. Multiple logistic regression was used to evaluate predictors of SDD, as these patients represent those most likely to safely undergo TKA in an ASC.

resultsControlling for other demographics and comorbidities, patients with the following characteristics were at reduced odds of SDD: increased age (odds ratio [OR] = 0.935,

conclusionFor patients undergoing primary TKA, increased age, body mass index ≥35, female gender, nonwhite race, primary hypertension, ≥3 comorbidities, and American Society of Anesthesiologists score ≥3 decrease the likelihood of SDD. A predictive model based on readily available patient presentation and comorbidity characteristics may aid surgeons in identifying patients that are candidates for SDD or ASC-based TKA.

Indexed as

Ambulatory surgery centerLength of stayPredictive modelTotal knee arthroplasty

Identifiers

PMID33553547
PMCPMC7856419

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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.