Evidence map›Paper›PMID 27316824›Full record

ArticleSurgery2016

Colon cancer operations at high- and low-mortality hospitals.

Mark A Healy, Tyler R Grenda, Pasithorn A Suwanabol, Huiying Yin, Amir A Ghaferi, John D Birkmeyer, Sandra L Wong

Abstract read
In one paragraph

Article in Surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

7 authors.

Mark A HealyDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI. Electronic address: healym@umich.edu.
Tyler R GrendaDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI.
Pasithorn A SuwanabolDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI.
Huiying YinDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI.
Amir A GhaferiDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI.
John D BirkmeyerDepartment of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Sandra L WongDepartment of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.

Funding

Health Services Research Training Years 32-36T32HS000053 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HIRTH, RICHARD A · 1992 to 2024
$7.3M
University of Michigan Surgical Oncology Research Training ProgramT32CA009672 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JACQUELINE SARA JERUSS, WEIPING ZOU · 1991 to 2026
$6.0M
Organizational Dynamics and Failure to Rescue After Major SurgeryK08HS023621 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GHAFERI, AMIR ABBAS · 2015 to 2019
$759k
Understanding variation in treatment intensity of poor prognosis cancersK08HS020937 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WONG, SANDRA L · 2012 to 2015
$537k
AHRQ HHS K08 HS020937AHRQ HHS K08 HS023621AHRQ HHS T32 HS000053NCI NIH HHS T32 CA009672
6 · The paper itself

Abstract

backgroundThere is wide variation in mortality across hospitals for cancer operations. While higher rates of mortality are commonly ascribed to high-risk resections, the impact on more common operations is unclear. We sought to evaluate causes of mortality following colon cancer operations across hospitals.

methodsForty-nine American College of Surgeons Commission on Cancer hospitals were selected for participation in a Commission on Cancer special study. We ranked hospitals using a composite measure of mortality and performed onsite chart reviews. We examined patient characteristics and mortality following colon resections at very high-mortality and very low- mortality hospitals (2006-2007).

resultsWe identified 3,025 patients who underwent an operation at 19 low-mortality (n = 1,006) and 30 high-mortality (n = 2,019) hospitals. There were wide differences in risk-adjusted mortality between high-mortality and low-mortality hospitals (9.3% vs 2.4%; P < .001). Compared with low-mortality hospitals, high-mortality hospitals had more patients who were black (11.2% vs 6.5%; P < .001), had ≥2 comorbidities (22.7% vs 18.9%; P < .05), were categorized American Society of Anesthesiologists class 4-5 (11.9% vs 5.3%; P < .001), and were functionally dependent (13.9% vs 8.8%; P < .001). Rates of complication were similar in high-mortality versus low-mortality hospitals (odds ratio 1.29, 95% confidence interval, 0.85-1.95). For those experiencing complications, though, case fatality rates were significantly higher in high-mortality versus low-mortality hospitals (odds ratio 3.74, 95% confidence interval, 1.59-8.82).

conclusionThere is significant variation in mortality across hospitals for colon cancer operations, despite similar perioperative morbidity. This finding reflects a need for improved operative decision-making to enhance outcomes and quality of care at these hospitals.

Indexed as

AgedAged, 80 and overColectomyColonic NeoplasmsFemaleHospital MortalityHumansMaleMiddle AgedNeoplasm StagingPostoperative ComplicationsRetrospective StudiesRisk AdjustmentSurvival RateUnited States

Identifiers

PMID27316824
PMCPMC4938751

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.