Evidence map›Paper›PMID 35694328›Full record

ArticleJournal of orthopaedics

Length of stay in patients undergoing total knee arthroplasty.

Mehran Mannani, Mehdi Motififard, Ziba Farajzadegan, Amin Nemati

Abstract read
In one paragraph

Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. No difference between mobile and fixed bearing in primary total knee arthroplasty: a meta-analysis.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
    Pooled it
  3. 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

4 authors.

Mehran MannaniMedical Student, Student Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mehdi MotififardProfessor of Orthopedic Surgery, Orthopedics Department, Kashani Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
Ziba FarajzadeganProfessor of Community Medicine, Department of Community and Family Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Amin NematiOrthopedic Surgeon, Student Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Minimizing costs associated with the care of patients undergoing total knee arthroplasty (TKA) can reduce the burden on health systems that regularly struggle with limited resources. Predicting and reducing TKA associated length of stay (LoS) can therefore be invaluable. This study aimed to determine the factors that impact LoS in patients undergoing TKA and propose a model design to predict LoS. Methods: A retrospective study was performed on patients undergoing TKA in a tertiary teaching hospital. Patients who underwent TKA from March 2007 to March 2021 were included in the study. Data were extracted from available electronic and paper records. Variables evaluated included: patients' demographic data, general admission data, laboratory data, transfusion, operation data, and preoperative comorbidities and medical history. Independent T-test, one-way ANOVA, and Pearson correlation were used for univariate data analysis. For multivariate analysis and model designing, multiple regression stepwise methods were used. Results: 878 patients were included in this study. Mean LoS was 6.09 (SD = 1.83) with a median of 6 days. Factors found to have a significant effect on length of stay were age, revision surgery, Anesthesia type, intensive care unit admission, insurance, transfusion, preoperative hemoglobin level, and pre-operative platelet (Plt) count. Applying a multiple regression stepwise model to these variables showed that the following pre-operative factors can be predictive for LoS: revision surgery, sex, medical insurance, hemoglobin level, and Plt count. Conclusions: It was deduced that sex, revision, pre-operative hemoglobin and Plt level and health insurance were the best predictors for LoS in patients undergoing TKA.

Indexed as

Length of stayModelPredictTotal knee arthroplasty

Identifiers

PMID35694328
PMCPMC9178328

What OpenQuestion holds

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Read underepoch 390

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.