Evidence map›Paper›PMID 26267440›Full record

ArticleJAMA surgery2015

Lung Cancer Resection at Hospitals With High vs Low Mortality Rates.

Tyler R Grenda, Sha'Shonda L Revels, Huiying Yin, John D Birkmeyer, Sandra L Wong

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in JAMA surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Surgeon Quality and Patient Survival After Resection for Non-Small-Cell Lung Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  4. Article
  5. Article
  6. Knockdown ofAnnals of translational medicine · 2020
    Article
  7. Article
  8. Observational
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tyler R GrendaCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Sha'Shonda L RevelsCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Huiying YinCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
John D BirkmeyerDartmouth-Hitchcock Health Care System, Hanover, New Hampshire.
Sandra L WongCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.

Funding

Health Services Research Training Years 32-36T32HS000053 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HIRTH, RICHARD A · 1992 to 2024
$7.3M
Structure, Process, and Outcomes in Cancer SurgeryR01CA098481 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BIRKMEYER, JOHN D · 2003 to 2010
$2.9M
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 2T32HS000053AHRQ HHS K08 HS020937AHRQ HHS K08 HS020937-01AHRQ HHS T32 HS000053NCI NIH HHS 2 R01 CA098481-05A1NCI NIH HHS R01 CA098481
6 · The paper itself

Abstract

importanceWide variations in mortality rates exist across hospitals following lung cancer resection; however, the factors underlying these differences remain unclear.

objectiveTo evaluate perioperative outcomes in patients who underwent lung cancer resection at hospitals with very high and very low mortality rates (high-mortality hospitals [HMHs] and low-mortality hospitals [LMHs]) to better understand the factors related to differences in mortality rates after lung cancer resection. DESIGN, SETTING, AND

participantsIn this retrospective cohort study, 1279 hospitals that were accredited by the Commission on Cancer were ranked on a composite measure of risk-adjusted mortality following major cancer resections performed from January 1, 2005, through December 31, 2006. We collected data from January 1, 2006, through December 31, 2007, on 645 lung resections in 18 LMHs and 25 HMHs. After adjusting for patient characteristics, we used hierarchical logistic regression to examine differences in the incidence of complications and "failure-to-rescue" rates (defined as death following a complication). MAIN OUTCOMES AND MEASURES: Rates of adherence to processes of care, incidence of complications, and failure to rescue following complications.

resultsAmong 645 patients who received lung resections (441 in LMHs and 204 in HMHs), the overall unadjusted mortality rates were 1.6% (n = 7) vs 10.8% (n = 22; P < .001) for LMHs and HMHs, respectively. Following risk adjustment, the difference in mortality rates was attenuated (1.8% vs 8.1%; P < .001) but remained significant. Overall, complication rates were higher in HMHs (23.3% vs 15.6%; adjusted odds ratio [aOR], 1.79; 95% CI, 0.99-3.21), but this difference was not significant. The likelihood of any surgical (aOR, 0.73; 95% CI, 0.26-2.00) or cardiopulmonary (aOR, 1.23; 95% CI, 0.70-2.16) complications was similar between LMHs and HMHs. However, failure-to-rescue rates were significantly higher in HMHs (25.9% vs 8.7%; aOR, 6.55; 95% CI, 1.44-29.88). CONCLUSIONS AND RELEVANCE: Failure-to-rescue rates are higher at HMHs, which may explain the large differences between hospitals in mortality rates following lung cancer resection. This finding emphasizes the need for better understanding of the factors related to complications and their subsequent management.

Indexed as

Cause of DeathHospital MortalityOutcome Assessment, Health CareAgedConfidence IntervalsDatabases, FactualFemaleHumansIncidenceLung NeoplasmsMaleMiddle AgedPerioperative CarePostoperative ComplicationsRetrospective StudiesSurgery Department, Hospital

Identifiers

PMID26267440
PMCPMC5098553

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.