Evidence map›Paper›PMID 24748161›Full record

Trial reportAnnals of surgical oncology2014

Hospital and geographic variability in two colorectal cancer surgery outcomes: complications and mortality after complications.

M Schootman, M Lian, S L Pruitt, S Hendren, M Mutch, A D Deshpande, D B Jeffe, N O Davidson

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of surgical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Observational
  10. Outcomes of support rod usage in loop stoma formation.International journal of colorectal disease · 2016
    Observational
  11. Article
  12. Article
  13. 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.

M SchootmanDepartment of Epidemiology, Saint Louis University, Saint Louis, MO, USA, schootm@slu.edu.
M Lian
S L Pruitt
S Hendren
M Mutch
A D Deshpande
D B Jeffe
N O Davidson

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Washington University DDRCC Supplemental Equipment RequestP30DK052574 · NIDDK · WASHINGTON UNIVERSITY · PI Nicholas O. Davidson · 2000 to 2026
$30.8M
HEPATIC SYNTHESIS AND SECRETION OF APOLIPOPROTEIN (A)R01DK056260 · NIDDK · WASHINGTON UNIVERSITY · PI DAVIDSON, NICHOLAS O. · 1999 to 2017
$5.9M
ENTEROHEPATIC LIPID FLUX AND APOPROTEIN BIOSYNTHESIS.R37HL038180 · NHLBI · WASHINGTON UNIVERSITY · PI DAVIDSON, NICHOLAS O. · 2000 to 2009
$5.1M
ENTEROHEPATIC LIPID FLUX AND APOPROTEIN BIOSYNTHESISR01HL038180 · NHLBI · WASHINGTON UNIVERSITY · PI DAVIDSON, NICHOLAS O. · 1986 to 2018
$3.8M
Neighborhood effects on Quality of Life in Breast CancerR01CA112159 · NCI · WASHINGTON UNIVERSITY · PI SCHOOTMAN, MARIO · 2005 to 2009
$1.6M
Improving Rectal Cancer Surgery Through Regional CollaborationK07CA163665 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HENDREN, SAMANTHA KATHLEEN · 2012 to 2015
$700k
NCI NIH HHS CA112159NCI NIH HHS K07 CA163665NCI NIH HHS P30 CA091842NCI NIH HHS P30CA91842NCI NIH HHS R01 CA112159NHLBI NIH HHS HL-38180NHLBI NIH HHS R01 HL038180NHLBI NIH HHS R37 HL038180NIDDK NIH HHS DK-52574NIDDK NIH HHS DK-56260NIDDK NIH HHS P30 DK052574NIDDK NIH HHS R01 DK056260
6 · The paper itself

Abstract

backgroundThe purpose of this study was to describe hospital and geographic variation in 30-day risk of surgical complications and death among colorectal cancer (CRC) patients and the extent to which patient-, hospital-, and census-tract-level characteristics increased risk of these outcomes.

methodsWe included patients at least 66 years old with first primary stage I-III CRC from the 2000-2005 National Cancer Institute's Surveillance, Epidemiology, and End Results data linked with 1999-2005 Medicare claims. A multilevel, cross-classified logistic model was used to account for nesting of patients within hospitals and within residential census tracts. Outcomes were risk of complications and death after a complication within 30 days of surgery.

resultsData were analyzed for 35,946 patients undergoing surgery at 1,222 hospitals and residing in 12,187 census tracts; 27.2 % of patients developed complications, and of these 13.4 % died. Risk-adjusted variability in complications across hospitals and census tracts was similar. Variability in mortality was larger than variability in complications, across hospitals and across census tracts. Specific characteristics increased risk of complications (e.g., census-tract-poverty rate, emergency surgery, and being African-American). No hospital characteristics increased complication risk. Specific characteristics increased risk of death (e.g. census-tract-poverty rate, being diagnosed with colon (versus rectal) cancer, and emergency surgery), while hospitals with at least 500 beds showed reduced death risk.

conclusionsLarge, unexplained variations exist in mortality after surgical complications in CRC across hospitals and geographic areas. The potential exists for quality improvement efforts targeted at the hospital and/or census-tract levels to prevent complications and augment hospitals' ability to reduce mortality risk.

Indexed as

Adenocarcinoma, MucinousAgedAged, 80 and overCause of DeathColorectal NeoplasmsColorectal SurgeryFemaleFollow-Up StudiesGeographyHospital MortalityHumansMaleNeoplasm StagingPostoperative ComplicationsPrognosisRetrospective Studies

Identifiers

PMID24748161
PMCPMC4090776

What OpenQuestion holds

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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.