Evidence map›Paper›PMID 26412319›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2015

Readmission predicts 90-day mortality after esophagectomy: Analysis of Surveillance, Epidemiology, and End Results Registry linked to Medicare outcomes.

Yinin Hu, Timothy L McMurry, George J Stukenborg, Benjamin D Kozower

Abstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yinin HuDivision of Thoracic Surgery/Department of Surgery, University of Virginia Health System, Charlottesville, Va.
Timothy L McMurryDepartment of Public Health Sciences, University of Virginia Health System, Charlottesville, Va.
George J StukenborgDepartment of Public Health Sciences, University of Virginia Health System, Charlottesville, Va.
Benjamin D KozowerDivision of Thoracic Surgery/Department of Surgery, University of Virginia Health System, Charlottesville, Va; Department of Public Health Sciences, University of Virginia Health System, Charlottesville, Va. Electronic address: bdk8g@virginia.edu.

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
Mortality Assessment in Lung Cancer ResectionK08HS018049 · AHRQ · UNIVERSITY OF VIRGINIA · PI KOZOWER, BENJAMIN D · 2009 to 2013
$751k
AHRQ HHS K080HS18049AHRQ HHS K08 HS018049NCI NIH HHS T32 CA163177
6 · The paper itself

Abstract

objectivesPostoperative readmission is an increasingly scrutinized quality metric that affects patient satisfaction and cost. Even more important is its implication for short-term prognosis. The purpose of this study is to characterize postesophagectomy readmissions and determine their relationship with subsequent 90-day mortality.

methodsData were extracted for esophagectomy patients from the linked SEER-Medicare Registry (2000-2009), which provides longitudinal information about Medicare beneficiaries who have cancer. We assessed demographics, comorbidities, 30-day readmission, and 90-day mortality. Readmitting facility and diagnoses were identified. A hierarchic multivariable regression model clustered at the hospital level assessed the relationship between readmission within 30 days of discharge and 90-day mortality.

resultsWe identified 1543 patients discharged alive after esophagectomy. Among patients discharged alive, the readmission rate was 319 of 1543 (20.7%); 107 of 319 (33.5%) readmissions were to facilities that did not perform the index operation. Mortality rate at 90 days among patients discharged alive was 98 of 1543 (6.4%). Readmission was associated with a 4-fold increase in mortality (16.3% vs 3.8%, P < .001). Using multivariable regression, readmission was the strongest predictor of mortality (odds ratio 6.64, P < .001), with a stronger association than age, Charlson score, and index length of stay. Readmission diagnoses with the highest mortality rates were those associated with pulmonary, gastrointestinal, and cardiovascular diagnoses.

conclusionsPatients readmitted within 30 days of discharge after esophagectomy are at exceptionally high risk for early mortality. Early recognition of life-threatening readmission diagnoses is essential to providing optimal care.

Indexed as

MedicarePatient ReadmissionSEER ProgramAgedAged, 80 and overChi-Square DistributionComorbidityEsophagectomyFemaleHumansLinear ModelsMaleMultivariate AnalysisOdds RatioRisk FactorsTime Factorsesophageal canceresophagectomyoutcomespostoperative mortalitypostoperative readmission

Identifiers

PMID26412319
PMCPMC4637190

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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.