Evidence map›Paper›PMID 27157326›Full record

ArticleThe Annals of thoracic surgery2016

Minimally Invasive Versus Open Esophagectomy for Esophageal Cancer: A Population-Based Analysis.

Babatunde A Yerokun, Zhifei Sun, Chi-Fu Jeffrey Yang, Brian C Gulack, Paul J Speicher, Mohamed A Adam, Thomas A D'Amico, Mark W Onaitis, David H Harpole, Mark F Berry and 1 more

Abstract readMulticenter Study
In one paragraph

Article in The Annals of thoracic surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 5 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

83 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Guideline
  5. Pooled it
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  15. Minimally invasive thoracic surgery: robot-assisted versus video-assisted thoracoscopic surgery.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2023
    Review
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23 more citing papers are in PubMed but not listed here.

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

11 authors.

Babatunde A YerokunDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Zhifei SunDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Chi-Fu Jeffrey YangDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Brian C GulackDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Paul J SpeicherDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Mohamed A AdamDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Thomas A D'AmicoDepartment of Surgery, Division of Cardiovascular and Thoracic Surgery, Duke University Medical Center, Durham, North Carolina.
Mark W OnaitisDepartment of Surgery, Division of Cardiovascular and Thoracic Surgery, Duke University Medical Center, Durham, North Carolina.
David H HarpoleDepartment of Surgery, Division of Cardiovascular and Thoracic Surgery, Duke University Medical Center, Durham, North Carolina.
Mark F BerryDepartment of Cardiothoracic Surgery, Stanford University, Stanford, California.
Matthew G HartwigDepartment of Surgery, Division of Cardiovascular and Thoracic Surgery, Duke University Medical Center, Durham, North Carolina. Electronic address: matthew.hartwig@duke.edu.

Funding

Cardiothoracic Surgical Network Clinical CenterU01HL088953 · NHLBI · DUKE UNIVERSITY · PI SMITH, PETER K · 2007 to 2013
$2.6M
Core Clinical Centers for the CTSNUM1HL088953 · NHLBI · DUKE UNIVERSITY · PI SMITH, PETER K · 2013 to 2017
$2.5M
NHLBI NIH HHS U01 HL088953NHLBI NIH HHS UM1 HL088953
6 · The paper itself

Abstract

backgroundThe objective of this study was to evaluate outcomes of minimally invasive approaches to esophagectomy using population-level data.

methodsMultivariable regression modeling was used to determine predictors associated with the use of minimally invasive approaches for patients in the National Cancer Data Base who underwent resection of middle and distal clinical T13N03M0 esophageal cancers from 2010 to 2012. Perioperative outcomes and 3-year survival were compared between propensity-matched groups of patients with esophageal cancer who underwent minimally invasive esophagectomy (MIE) or open esophagectomy (OE). A subgroup analysis was performed to evaluate the impact of using robotic-assisted operations as part of the minimally invasive approach.

resultsAmong 4,266 patients included, 1,308 (30.6%) underwent MIE. It was more likely to be used in patients treated at academic (adjusted odds ratio [OR], 10.1; 95% confidence interval [CI], 4.2-33.1) or comprehensive cancer facilities (adjusted OR, 6.4; 95% CI, 2.6-21.1). Compared with propensity-matched patients who underwent OE, patients who underwent MIE had significantly more lymph nodes examined (15 versus 13; p = 0.016) and shorter hospital lengths of stay (10 days versus 11 days; p = 0.046) but similar resection margin positivity, readmission, and 30-day mortality (all p > 0.05). Survival was similar between the matched groups at 3 years for both adenocarcinoma and squamous cell carcinoma (p > 0.05). Compared with MIE without robotic assistance, use of a robotic approach was not associated with any significant differences in perioperative outcomes (p > 0.05).

conclusionsThe use of minimally invasive techniques to perform esophagectomy for esophageal cancer is associated with modestly improved perioperative outcomes without compromising survival.

Indexed as

AgedEsophageal NeoplasmsEsophagectomyEsophagusFemaleFollow-Up StudiesHumansLaparoscopyLength of StayMaleMiddle AgedNeoplasm StagingPopulation SurveillanceRetrospective StudiesSurvival RateThoracoscopy

Identifiers

PMID27157326
PMCPMC5142521

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.