Evidence map›Paper›PMID 29285642›Full record

ArticleAnnals of surgical oncology2018

Association of Delivery System Integration and Outcomes for Major Cancer Surgery.

Jonathan Li, Zaojun Ye, James M Dupree, Brent K Hollenbeck, Hye Sung Min, Deborah Kaye, Lindsey A Herrel, David C Miller, Chad Ellimoottil

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. An Ecologic Analysis of the Association of Regional Cancer Center Presence with Cancer Mortality for the Continuous United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    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

9 authors.

Jonathan LiInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Zaojun YeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
James M DupreeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Brent K HollenbeckInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Hye Sung MinInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Deborah KayeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Lindsey A HerrelInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
David C MillerInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Chad EllimoottilInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. cellimoo@med.umich.edu.

Funding

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
Understanding optimal delivery systems for cancer careR01CA174768 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MILLER, DAVID C · 2014 to 2018
$2.0M
National Cancer Institute R01-CA-174768-01-A1National Institute on Aging R01-AG048071NCI NIH HHS R01 CA174768NIA NIH HHS R01 AG048071
6 · The paper itself

Abstract

backgroundIntegrated delivery systems (IDSs) are postulated to reduce spending and improve outcomes through successful coordination of care across multiple providers. Nonetheless, the actual impact of IDSs on outcomes for complex multidisciplinary care such as major cancer surgery is largely unknown.

methodsUsing 2011-2013 Medicare data, this study identified patients who underwent surgical resection for prostate, bladder, esophageal, pancreatic, lung, liver, kidney, colorectal, or ovarian cancer. Rates of readmission, 30-day mortality, surgical complications, failure to rescue, and prolonged hospital stay for cancer surgery were compared between patients receiving care at IDS hospitals and those receiving care at non-IDS hospitals. Generalized estimating equations were used to adjust results by cancer type and patient- and hospital-level characteristics while accounting for clustering of patients within hospitals.

resultsThe study identified 380,053 patients who underwent major resection of cancer, with 38% receiving care at an IDS. Outcomes did not differ between IDS and non-IDS hospitals regarding readmission and surgical complication rates, whereas only minor differences were observed for 30-day mortality (3.5% vs 3.2% for IDS; p < 0.001) and prolonged hospital stay (9.9% vs 9.2% for IDS; p < 0.001). However, after adjustment for patient and hospital characteristics, the frequencies of adverse perioperative outcomes were not significantly associated with IDS status.

conclusionsThe collective findings suggest that local delivery system integration alone does not necessarily have an impact on perioperative outcomes in surgical oncology. Moving forward, stakeholders may need to focus on surgical and oncology-specific methods of care coordination and quality improvement initiatives to improve outcomes for patients undergoing cancer surgery.

Indexed as

Outcome Assessment, Health CareAgedCancer Care FacilitiesDelivery of Health Care, IntegratedFemaleHospital MortalityHospitalsHumansLength of StayMaleNeoplasmsPrognosisSurvival RateUnited States

Identifiers

PMID29285642
PMCPMC5842129

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Registered trials

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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.