Evidence map›Paper›PMID 28678122›Full record

ArticleThe Journal of bone and joint surgery. American volume2017

All-Cause Versus Complication-Specific Readmission Following Total Knee Arthroplasty.

Michele D'Apuzzo, Geoffrey Westrich, Chisa Hidaka, Ting Jung Pan, Stephen Lyman

Abstract read
In one paragraph

Article in The Journal of bone and joint surgery. American volume, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Hospital volume-outcome relationship in total knee arthroplasty: a systematic review and dose-response meta-analysis.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
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  12. Revisiting Short-term Outcomes of Conventional and Computer-Assisted Total Knee Arthroplasty: A Population-based Study.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Michele D'Apuzzo1Center for Advanced Orthopedics, Larkin Hospital, South Miami, Florida 2Adult Reconstruction and Joint Replacement Service (G.W.) and Healthcare Research Institute (C.H., T.J.P., and S.L.), Hospital for Special Surgery, New York, NY.
Geoffrey Westrich
Chisa Hidaka
Ting Jung Pan
Stephen Lyman

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024996 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2007 to 2011
$49.6M
The Centers for Education and Research on Therapeutics *U18HS016075 · AHRQ · WEILL MEDICAL COLL OF CORNELL UNIV · PI MUSHLIN, ALVIN MUSHLIN · 2006 to 2010
$4.0M
AHRQ HHS U18 HS016075NCATS NIH HHS UL1 TR002384NCRR NIH HHS UL1 RR024996
6 · The paper itself

Abstract

backgroundUnplanned readmissions have become an important quality indicator, particularly for reimbursement; thus, accurate assessment of readmission frequency and risk factors for readmission is critical. The purpose of this study was to determine (1) the frequency of and (2) risk factors for readmissions for all causes or procedure-specific complications within 30 days after total knee arthroplasty (TKA) as well as (3) the association between hospital volume and readmission rate.

methodsThe Statewide Planning and Research Cooperative System (SPARCS) database from the New York State Department of Health was used to identify 377,705 patients who had undergone primary TKA in the period from 1997 to 2014. Preoperative diagnoses, comorbidities, and postoperative complications were determined using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. Readmission was defined as all-cause, due to complications considered by the Centers for Medicare & Medicaid Services (CMS) to be TKA-specific, or due to an expanded list of TKA-specific complications based on expert opinion. Multivariable logistic regression analysis was utilized to determine the independent predictors of readmission within 30 days after surgery.

resultsThere were 22,076 all-cause readmissions-a rate of 5.8%, with a median rate of 3.9% (interquartile range [Q1, Q3] = 1.1%, 7.2%]) among the hospitals-within 30 days after discharge. Of these, only 11% (0.7% of all TKAs) were due to complications considered to be TKA-related by the CMS whereas 31% (1.8% of all TKAs) were due to TKA-specific complications on the expanded list based on expert opinion. Risk factors for TKA-specific readmissions based on the expanded list of criteria included an age of >85 years (odds ratio [OR] = 1.32, 95% confidence interval [CI] = 1.15 to 1.52), male sex (OR = 1.41, 95% CI = 1.34 to 1.49), black race (OR = 1.24, 95% CI = 1.14 to 1.34), Medicaid coverage (OR = 1.40, 95% CI = 1.26 to 1.57), and comorbidities. Several comorbid conditions contributed to the all-cause but not the TKA-specific readmission risk. Very low hospital volume (<90 cases per year) was associated with a higher readmission risk.

conclusionsThe frequency of readmissions for TKA-specific complications was low relative to the frequency of all-cause readmissions. Reasons for hospital readmission are multifactorial and may not be amenable to simple interventions. Health-care-quality measurement of readmission rates should be calculated and risk-adjusted on the basis of procedure-specific criteria. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Indexed as

Arthroplasty, Replacement, KneeAgedComorbidityFemaleHumansMaleMiddle AgedNew YorkPatient ReadmissionPostoperative ComplicationsQuality Indicators, Health CareRisk Factors

Identifiers

PMID28678122
PMCPMC5490331

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.