Evidence map›Paper›PMID 35951077›Full record

SynthesisKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2023

Successful same-day discharge in 88% of patients after unicompartmental knee arthroplasty: a systematic review and meta-analysis.

Tarik Bayoumi, Jelle P van der List, Lindsey V Ruderman, Hendrik A Zuiderbaan, Gino M M J Kerkhoffs, Andrew D Pearle

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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 at 3 institutions in 2 countries.

Tarik BayoumiDepartment of Orthopaedic Surgery and Computer Assisted Surgery Center, Hospital for Special Surgery, Weill Medical College of Cornell University, 535 East 70th Street, New York, NY, 10021, USA. bayoumit@hss.edu.ORCID http://orcid.org/0000-0002-4723-8572
Jelle P van der ListDepartment of Orthopaedic Surgery, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Lindsey V RudermanDepartment of Orthopaedic Surgery and Computer Assisted Surgery Center, Hospital for Special Surgery, Weill Medical College of Cornell University, 535 East 70th Street, New York, NY, 10021, USA.
Hendrik A ZuiderbaanDepartment of Orthopaedic Surgery, Medische Kliniek Velsen, Velsen, The Netherlands.
Gino M M J KerkhoffsDepartment of Orthopaedic Surgery, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Andrew D PearleDepartment of Orthopaedic Surgery and Computer Assisted Surgery Center, Hospital for Special Surgery, Weill Medical College of Cornell University, 535 East 70th Street, New York, NY, 10021, USA.
Hospital for Special Surgery · USAmsterdam University Medical Centers · NLTata Steel (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to evaluate the effectiveness of day-case unicompartmental knee arthroplasty (UKA) by assessment of successful same-day discharge (SDD), readmission, complication and reoperation rates in the recent literature.

methodsFor this systematic review and meta-analysis, PubMed, Embase and Cochrane Library were comprehensively searched to identify all eligible studies reporting outcomes of day-case UKA. Studies with intended same-day home discharge after UKA were included. A meta-analysis of proportions, using a random-effects model, was performed to estimate overall rates of successful SDD and adverse events. Subgroup analyses were performed for studies including selected patients (i.e., patients had to meet certain patient-specific criteria to be eligible for day-case UKA) and unselected patients (i.e., no additional criteria for day-case UKA), as well as for clinical and registry-based studies. Additional outcomes included reasons for the failure of SDD and patient satisfaction.

resultsA total of 29 studies and 9694 patients were included with a mean age of 66 ± 9 years and mean follow-up of 59 days (mean range 30-270 days). Based on 24 studies (2733 patients), the overall successful SDD rate was 88% (95% confidence interval [CI] 80-92). These rates were 91% (95% CI 84-95) across studies with selected patients and 76% (95% CI 55-89) across studies with unselected patients. Overall readmission, complication and reoperation rates were 3% (95% CI 1.9-4.4), 4% (95% CI 2.8-5.2) and 1% (95% CI 0.8-1.3), respectively. Inability to mobilize, nausea and uncontrolled pain were frequently reported reasons for failed SDD. The overall patient satisfaction rate was 94%.

conclusionThis systematic review with meta-analysis found an overall successful SDD rate of 88% after UKA in a heterogeneous cohort of selected and unselected patients. Readmission, complication and reoperation rates suggest UKA can be performed safely and effectively as a same-day discharge procedure. LEVEL OF EVIDENCE: Level IV, systematic review of level III and IV studies.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeHumansInfantKnee JointPatient DischargeReoperationSecond-Look SurgeryTreatment OutcomeClinical pathwayDay-case arthroplastyKneeOutpatientUnicompartmental knee arthroplasty

Identifiers

PMID35951077
PMCPMC9366132
OpenAlexW4291015563

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.