Evidence map›Paper›PMID 37349594›Full record

ArticleSurgical endoscopy2023

Quantitative assessment of gastric ischemic preconditioning on conduit perfusion in esophagectomy: propensity score weighting study.

Yoshitaka Ishikawa, Lili Zhao, Philip W Carrott, Andrew C Chang, Jules Lin, Mark B Orringer, William R Lynch, Kiran H Lagisetty, Elliot Wakeam, Rishindra M Reddy

Abstract read
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Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Yoshitaka IshikawaSection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Lili ZhaoDepartment of Biostatistics, University of Michigan, SPH II, 1415 Washington Heights M4509, Ann Arbor, MI, 48109, USA.
Philip W CarrottDivision of Thoracic Surgery, Department of Surgery, University of Virginia Health, 1240 Lee Street, Charlottesville, VA, 22903, USA.
Andrew C ChangSection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Jules LinSection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Mark B OrringerSection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
William R LynchSection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Kiran H LagisettySection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Elliot WakeamSection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Rishindra M ReddySection of Thoracic Surgery, Department of Surgery, University of Michigan Health System, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA. reddyrm@med.umich.edu.ORCID 0000-0002-4337-5051
Michigan Medicine · USUniversity of Michigan · USUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric ischemic preconditioning prior to esophagectomy has been studied as a method to improve gastric conduit perfusion and reduce anastomotic complications, without conclusive results. The aim of this study is to evaluate the feasibility and safety of gastric ischemic preconditioning in terms of post-operative outcomes and quantitative gastric conduit perfusion.

methodsPatients who underwent an esophagectomy with gastric conduit reconstruction between January 2015 and October 2022 at a single high-volume academic center were reviewed. Patient characteristics, surgical approach, post-operative outcomes, and indocyanine green fluorescence angiography data (ingress index for arterial inflow and ingress time for venous outflow, and the distance from the last gastroepiploic branch to the perfusion assessment point) were analyzed. Two propensity score weighting methods were used to investigate whether gastric ischemic preconditioning reduces anastomotic leaks. Multiple linear regression analysis was used to evaluate the conduit perfusion quantitatively.

resultsThere were 594 esophagectomies with gastric conduit performed, with 41 having a gastric ischemic preconditioning. Among 544 with cervical anastomoses, leaks were seen in 2/30 (6.7%) in the ischemic preconditioning group and 114/514 (22.2%) in the control group (p = 0.041). Gastric ischemic preconditioning significantly reduced anastomotic leaks on both weighting methods (p = 0.037 and 0.047, respectively). Ingress index and time of the gastric conduit with ischemic preconditioning were significantly better than those without preconditioning (p = 0.013 and 0.025, respectively) after removing the effect of the distance from the last gastroepiploic branch to the perfusion assessment point.

conclusionGastric ischemic preconditioning results in a statistically significant improvement in conduit perfusion and reduction in post-operative anastomotic leaks.

Indexed as

Esophageal NeoplasmsIschemic PreconditioningAnastomosis, SurgicalAnastomotic LeakEsophagectomyHumansPerfusionPropensity ScoreStomachAnastomotic leakConduit perfusionEsophagectomyFluorescence angiographyIschemic preconditioningPropensity score

Identifiers

PMID37349594
OpenAlexW4381716592

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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.