Evidence map›Paper›PMID 38096772›Full record

ArticleThe Journal of surgical research2024

Maximizing Readmission Reduction in Colon Cancer Patients.

Mario Schootman, Chenghui Li, Jun Ying, Sonia T Orcutt, Jonathan Laryea

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Mario SchootmanDivision of Community Health and Research, Department of Internal Medicine, College of Medicine, The University of Arkansas for Medical Sciences, Springdale, Arkansas; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas. Electronic address: Mschootman@uams.edu.
Chenghui LiDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Jun YingWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas; Department of Biostatistics, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Sonia T OrcuttWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas; Division of Surgical Oncology, Department of Surgery, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Jonathan LaryeaWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas; Division of Colorectal Surgery, Department of Surgery, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Winthrop Rockefeller Foundation · USUniversity of Arkansas for Medical Sciences · US

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
NCATS NIH HHS UL1 TR003107
6 · The paper itself

Abstract

introductionMultiple studies have identified risk factors for readmission in colon cancer patients. We need to determine which risk factors, when modified, produce the greatest decrease in readmission for patients so that limited resources can be used most effectively by implementing targeted evidence-based performance improvements. We determined the potential impact of various modifiable risk factors on reducing 30-d readmission in colon cancer patients.

methodsWe used a cohort design with the 2012-2020 American College of Surgeons' National Surgical Quality Improvement Program data to track colon cancer patients for 30 d following surgery. Colon cancer patients who received colectomies and were discharged alive were included. Readmission (to the same or another hospital) for any reason within 30 d of the resection was the outcome measure. Modifiable risk factors were the use of minimally invasive surgery (MIS) versus open colectomy, mechanical bowel preparation, preoperative antibiotic use, functional status, smoking, complications (deep vein thrombosis, pulmonary embolism, myocardial infarction, stroke, infections, anastomotic leakage, prolonged postoperative ileus, extensive blood loss, and sepsis), serum albumin, and hematocrit.

results111,691 patients with colon cancer were included in the analysis. About half of the patients were male, most were aged 75 or older, and were discharged home. Overall, 11,138 patients (10.0%) were readmitted within 30 d of surgery. In adjusted analysis, the reduction in readmission would be largest by preventing both prolonged ileus and by switching open colectomies to MIS (28.0% relative reduction) followed by preventing anastomotic leaks (6.2% relative reduction). Improving other modifiable risk factors would have a more limited impact.

conclusionsThe focus of readmission reduction should be on preventing prolonged ileus, increasing the use of MIS, and preventing anastomotic leaks.

Indexed as

Colonic NeoplasmsIleusAnastomotic LeakColectomyFemaleHumansMalePatient ReadmissionPostoperative ComplicationsRetrospective StudiesAnastomotic leakColon cancerLaparoscopyProlonged ileusQuality improvementReadmission

Identifiers

PMID38096772
PMCPMC10922981
OpenAlexW4389678626

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.