Evidence map›Paper›PMID 35456209›Full record

ArticleJournal of clinical medicine2022

Length of Hospital Stay after Total Knee Arthroplasty: A Correlation Study on 1200 Patients.

Rocco Papalia, Guglielmo Torre, Anna Maria Alifano, Erika Albo, Giuseppe Francesco Papalia, Marco Bravi, Antonio De Vincentis, Emanuele Zappalà, Biagio Zampogna, Vincenzo Denaro

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Economic burden of knee replacement, a case of Bushehr, Iran in 2023-2024.Cost effectiveness and resource allocation : C/E · 2026
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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

10 authors at 1 institution in 1 country.

Rocco PapaliaDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Guglielmo TorreDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0001-6215-8645
Anna Maria AlifanoDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Erika AlboDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Giuseppe Francesco PapaliaDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0002-4140-738X
Marco BraviDepartment of Physical Therapy and Rehabilitation, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0002-3396-4100
Antonio De VincentisDepartment of Internal Medicine and Geriatrics, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Emanuele ZappalàDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Biagio ZampognaDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0002-9318-4114
Vincenzo DenaroDepartment of Orthopedics and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Università Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In countries with a high average population age, total knee arthroplasty is still carried out in an inpatient setting. The roadmap to performing major surgery on an outpatient basis passes through the understanding of those perioperative features that correlate with higher lengths of hospital stay (LOS). A retrospective database of 1200 patients was reviewed for retrieving preoperative and perioperative factors including anthropometric and demographic data, comorbidities, preoperative laboratory assessment, and surgical time. Considering the LOS as a discrete series, data were analyzed by means of logistic regression with multiple univariate and multivariate models. The results showed a median length of hospital stay of 3 (IQR 3, 4) days. According to multiple univariate analysis, arterial hypertension (p = 0.008), diabetes mellitus (p = 0.028), CCI score (p < 0.001), ASA score (p = 0.006), surgical time (p < 0.001) and intraoperative blood loss (p < 0.001) were significantly associated with the duration of hospital stay in days. Moreover, preoperative hemoglobin value was inversely correlated to the LOS (p = 0.008). Multivariate analysis showed a significant correlation between LOS and surgical time and intraoperative blood loss. Many factors influence the permanence of the inpatient and acting on those variables, by stabilizing comorbidities and optimizing laboratory values, may reduce the overall healthcare burden.

Indexed as

comorbidityelderlyhospitalizationkneeperioperative factorsTKAtotal knee arthroplasty

Identifiers

PMID35456209
PMCPMC9029058
OpenAlexW4223543565

What OpenQuestion holds

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LicenceCC BY
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.