ArticleBMC musculoskeletal disorders2020
Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China.
Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- Prediction of Inpatient Rehabilitation Length, Discharge Destination and Home-Care Needs After Total Hip and Knee Arthroplasty for Osteoarthritis: A Follow-Up Study on 1.679 Patients.Journal of clinical medicine · 2026Article
- The role of anesthesia in TKA length of stay: a data-driven analysis using Boruta algorithm.Frontiers in medicine · 2026Article
- Intraoperative findings and predictors for length of hospital stay among elderly patients undergoing emergency exploratory laparotomy: a multi-centre prospective study.Perioperative medicine (London, England) · 2025Article
- Preoperative risk factors for extended hospital stay: A prospective study in a South African clinic.African journal of primary health care & family medicine · 2025Article
- A cross-sectional study on the relationship between length of stay and patient satisfaction based on the SERVQUAL model.Scientific reports · 2025Article
- Observational
- Effectiveness of an Enhanced Recovery After Surgery (ERAS) Program in Hip Arthroplasty in a Developing Country: A Propensity Score-Matched Study from Vietnam.Journal of multidisciplinary healthcare · 2025Article
- Early ambulation after total knee arthroplasty: a retrospective single-center study.Journal of orthopaedic surgery and research · 2024Article
- Article
- Neighborhood socioeconomic disadvantages associated with prolonged length of stay and non-home discharge following revision total hip and knee joint arthroplasty.Journal of clinical orthopaedics and trauma · 2024Article
- Retrospective Analysis of Postoperative Nonhepatic Outcomes Following Major Liver Resection.Cureus · 2024Article
- Article
- Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?Archives of orthopaedic and trauma surgery · 2023Article
- Prognostic Factors in Staged Bilateral Total Knee Arthroplasty-A Retrospective Case Series Analysis.Journal of clinical medicine · 2023Article
- Establishment and evaluation of a predictive model for length of hospital stay after total knee arthroplasty: A single-center retrospective study in China.Frontiers in surgery · 2023Article
- Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis.Frontiers in artificial intelligence · 2023Article
- Preoperative High Sleep Quality Predicts Further Decrease in Length of Stay after Total Joint Arthroplasty under Enhanced Recovery Short-stay Program: Experience in 604 Patients from a Single Team.Orthopaedic surgery · 2022Article
- Predicting Prolonged Length of ICU Stay through Machine Learning.Diagnostics (Basel, Switzerland) · 2021Article
- Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis-Treated Patients Using Stacked Generalization: Model Development and Validation Study.JMIR medical informatics · 2021Article
- Total knee arthroplasty improves the quality-adjusted life years in patients who exceeded their estimated life expectancy.International orthopaedics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundDecreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS).
methodsIn this study, we collected the data on 1112 patients who underwent primary total knee arthroplasty surgery (TKAs) at our institution from Jan 1, 2011 to Nov 31, 2017. Based on the published literature, 16 potential factors (12 preoperative variables, 1 intraoperative variable, and 3 postoperative variables) were investigated. The patients requiring a hospital stay longer than the mean LOS (8 days) were defined as patients with a prolonged LOS. The factors with a P value less than 0.1 in the univariate analysis were further analysed in a multivariate model. An ordinal regression was used to determine independent risk factors for a prolonged LOS.
resultsThe mean LOS was 8.3 days (±4.3), with a range of 2 to 30 days. Sixteen variables were analysed by univariate analysis, and 11 of them had p < 0.1 and were included in the multivariable model. Finally, 9 factors were found to be associated with a prolonged LOS. Among the 9 variables, 2 were surgery-related factors (operative time and intraoperative blood loss), and 3 were patient-related factors (age, ASA classification and neurological comorbidities).
conclusionIn this study, we found that the clinical protocol, complications, the patient's age, the ASA classification, neurological comorbidities, the operative time, the ward, intraoperative blood loss and the surgeon were all factors contributing to a prolonged LOS. In clinical practice, these factors provide important information for the surgeon and are useful for identifying patients with a high risk of a prolonged LOS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.