Evidence map›Paper›PMID 24022435›Full record

ArticleAnnals of surgery2013

Assessing readmission after general, vascular, and thoracic surgery using ACS-NSQIP.

Donald J Lucas, Adil Haider, Elliot Haut, Rebecca Dodson, Christopher L Wolfgang, Nita Ahuja, John Sweeney, Timothy M Pawlik

Abstract readEvaluation Study
In one paragraph

Article in Annals of surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Assessing Hospital Surgical Quality.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  6. Article
  7. Risk Factors for Hospital Readmission Following Noncardiac Surgery: International Cohort Study.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Specialty-Specific Readmission Risk Models Outperform General Models in Estimating Hepatopancreatobiliary Surgery Readmission Risk.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021
    Article
  17. A systematic review and meta-analysis of unplanned hospital visits and re-admissions following radical prostatectomy for prostate cancer.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2021
    Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Donald J Lucas*Department of Surgery, Walter Reed National Military Medical Center, Bethesda, MD †Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD ‡Department of Surgery, Emory Hospital, Atlanta, GA.
Adil Haider
Elliot Haut
Rebecca Dodson
Christopher L Wolfgang
Nita Ahuja
John Sweeney
Timothy M Pawlik

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

objectiveIn 2012, Medicare began cutting reimbursement for hospitals with high readmission rates. We sought to define the incidence and risk factors associated with readmission after surgery.

methodsA total of 230,864 patients discharged after general, upper gastrointestinal (GI), small and large intestine, hepatopancreatobiliary (HPB), vascular, and thoracic surgery were identified using the 2011 American College of Surgeons National Surgical Quality Improvement Program. Readmission rates and patient characteristics were analyzed. A predictive model for readmission was developed among patients with length of stay (LOS) 10 days or fewer and then validated using separate samples.

resultsMedian patient age was 56 years; 43% were male, and median American Society of Anesthesiologists (ASA) class was 2 (general surgery: 2; upper GI: 3; small and large intestine: 2; HPB: 3; vascular: 3; thoracic: 3; P < 0.001). The median LOS was 1 day (general surgery: 0; upper GI: 2; small and large intestine: 5; HPB: 6; vascular: 2; thoracic: 4; P < 0.001). Overall 30-day readmission was 7.8% (general surgery: 5.0%; upper GI: 6.9%; small and large intestine: 12.6%; HPB: 15.8%; vascular: 11.9%; thoracic: 11.1%; P < 0.001). Factors strongly associated with readmission included ASA class, albumin less than 3.5, diabetes, inpatient complications, nonelective surgery, discharge to a facility, and the LOS (all P < 0.001). On multivariate analysis, ASA class and the LOS remained most strongly associated with readmission. A simple integer-based score using ASA class and the LOS predicted risk of readmission (area under the receiver operator curve 0.702).

conclusionsReadmission among patients with the LOS 10 days or fewer occurs at an incidence of at least 5% to 16% across surgical subspecialties. A scoring system on the basis of ASA class and the LOS may help stratify readmission risk to target interventions.

Indexed as

Surgical Procedures, OperativeAdultAgedDatabases, FactualDecision Support TechniquesFemaleFollow-Up StudiesHealth Status IndicatorsHumansLength of StayMaleMiddle AgedMultivariate AnalysisPatient ReadmissionPostoperative ComplicationsRegression Analysis

Identifiers

PMID24022435
PMCPMC4623433

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.