Evidence map›Paper›PMID 31313473›Full record

ArticleBJU international2019

Characterising 'bounce-back' readmissions after radical cystectomy.

Peter S Kirk, Ted A Skolarus, Bruce L Jacobs, Yongmei Qin, Benjamin Li, Michael Sessine, Xiang Liu, Kevin Zhu, Scott M Gilbert, Brent K Hollenbeck and 4 more

Abstract read
In one paragraph

Article in BJU international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Readmission and unplanned healthcare use after radical cystectomy are independent of discharge destination.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Peter S KirkDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.ORCID 0000-0001-7638-8089
Ted A SkolarusDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.ORCID 0000-0002-5859-8151
Bruce L JacobsDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Yongmei QinDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.
Benjamin LiDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.
Michael SessineDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.
Xiang LiuDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
Kevin ZhuDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.
Scott M GilbertDepartment of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Brent K HollenbeckDow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI, USA.
Ken UrishDepartment of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jonathan HelmDepartment of Operations and Decision Technologies, Kelley School of Business, Indiana University, Bloomington, IN, USA.
Mariel S LavieriDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
Tudor BorzaDepartment of Urology, University of Wisconsin, Madison, WI, USA.

Funding

Advanced Training in Urologic OncologyT32CA180984 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu, VAHAKN B SHAHINIAN · 2014 to 2026
$3.4M
Major surgery in patients with Alzheimer's disease and related dementias: effects of technology and policyR01AG048071 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLLENBECK, BRENT K. · 2015 to 2019
$3.0M
Michigan Institute for Clinical and Health Research (MCHR)TL1TR000435 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$1.8M
NCATS NIH HHS TL1 TR000435NCI NIH HHS T32 CA180984NIA NIH HHS R01 AG048071
6 · The paper itself

Abstract

objectiveTo examine predictors of early readmissions after radical cystectomy (RC). Factors associated with preventable readmissions may be most evident in readmissions that occur within 3 days of discharge, commonly termed 'bounce-back' readmissions, and identifying such factors may inform efforts to reduce surgical readmissions. PATIENTS AND

methodsWe utilised the Healthcare Cost and Utilization Project's State Inpatient Databases to examine 1867 patients undergoing RC in 2009 and 2010, and identified all patients readmitted within 30 days of discharge. We assessed differences between patients experiencing bounce-back readmission compared to those readmitted 8-30 days after discharge using logistic regression models and also calculated abbreviated LACE scores to assess the utility of common readmissions risk stratification algorithms.

resultsThe 30-day and bounce-back readmission rates were 28.4% and 5.6%, respectively. Although no patient or index hospitalisation characteristics were significantly associated with bounce-back readmissions in adjusted analyses, bounce-back patients did have higher rates of gastrointestinal (14.3% vs 6.7%, P = 0.02) and wound (9.5% vs 3.0%, P < 0.01) diagnoses, as well as increased index and readmission length of stay (5 vs 4 days, P = 0.01). Overall, the median abbreviated LACE score was 7, which fell into the moderate readmission risk category, and no difference was observed between readmitted and non-readmitted patients.

conclusionOne in five readmissions after RC occurs within 3 days of initial discharge, probably due to factors present at discharge. However, sociodemographic and clinical factors, as well as traditional readmission risk tools were not predictive of this bounce-back. Effective strategies to reduce bounce-back readmission must identify actionable clinical factors prior to discharge.

Indexed as

CystectomyAgedFemaleHumansLength of StayMalePatient ReadmissionPostoperative Complications#BladderCancer#blcsmCystectomyhospital readmissionspostoperative complications

Identifiers

PMID31313473
PMCPMC6879782

What OpenQuestion holds

Textmetadata
LicenceTDM
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.