Evidence map›Paper›PMID 25799128›Full record

ArticleCanadian journal of surgery. Journal canadien de chirurgie2015

Not all total joint replacement patients are created equal: preoperative factors and length of stay in hospital.

Mitch Winemaker, Danielle Petruccelli, Conrad Kabali, Justin de Beer

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Canadian journal of surgery. Journal canadien de chirurgie, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Mitch WinemakerThe Hamilton Arthroplasty Group, Hamilton Health Sciences Juravinski Hospital, the Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont.
Danielle PetruccelliThe Hamilton Arthroplasty Group, Hamilton Health Sciences Juravinski Hospital, Hamilton, Ont.
Conrad KabaliThe Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ont.
Justin de BeerThe Hamilton Arthroplasty Group, Hamilton Health Sciences Juravinski Hospital, the Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont.
McMaster University · CAJuravinski Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a cross-sectional study of primary total joint replacement (TJR) patients to determine predictors for prolonged length of stay (LOS) in hospital to identify patient characteristics that may inform resource allocation, accounting for patient complexity.

methodsPreoperative demographics, medical comorbidities and acute hospital LOS from a consecutive series of primary TJR patients from an academic arthroplasty centre were abstracted. We categorized patients as LOS of 3 or fewer days, 4 days, or 5 or more days to align results with varying LOS benchmarks. To identify predictors for LOS, we used a generalized logistic regression model fitted on an LOS ternary outcome, using LOS of 3 or fewer days as a reference category.

resultsThe sample included 1459 patients: 61.7% total knee and 38.3% total hip. Male sex was predictive of an LOS of 3 or fewer days (4 d: odds ratio [OR] 0.48, 95% confidence interval [CI] 0.364-0.631; ≥ 5 d: OR 0.57, 95% CI 0.435-0.758), as was current smoking status (4 d: OR 0.425, 95% CI 0.274-0.659; ≥ 5 d: OR 0.489, 95% CI 0.314-0.762). Strong predictors of prolonged LOS included total hip versus total knee arthroplasty, age 75 years or older, American Society of Anesthesiologists classification of 3 and 4 and number of cardiovascular comorbidities.

conclusionNot all patients undergoing TJR are equal. The goal should be individual patient-focused care rather than a predetermined LOS that is not achievable for all patients. Hospital resource planning must account for patient complexity when planning future bed management.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneePreoperative PeriodAdultAgedAged, 80 and overAge FactorsCross-Sectional StudiesFemaleHumansLength of StayLogistic ModelsMaleMiddle AgedOdds RatioRisk Factors

Identifiers

PMID25799128
PMCPMC4447508
OpenAlexW346722195

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.