Evidence map›Paper›PMID 37927915›Full record

ArticleAnnals of gastroenterological surgery2023

Anatomical and anastomotic viability indexes for stratifying the risk of anastomotic leakage in esophagectomy with retrosternal reconstruction.

Keita Takahashi, Katsunori Nishikawa, Yuichiro Tanishima, Yoshitaka Ishikawa, Takanori Kurogochi, Masami Yuda, Akira Matsumoto, Fumiaki Yano, Toru Ikegami, Ken Eto

Open access · goldAbstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 5 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 1 institution in 1 country.

Keita TakahashiDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0003-0149-3401
Katsunori NishikawaDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Yuichiro TanishimaDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0003-3040-5992
Yoshitaka IshikawaDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Takanori KurogochiDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Masami YudaDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Akira MatsumotoDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Fumiaki YanoDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Toru IkegamiDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Ken EtoDepartment of Gastrointestinal Surgery Jikei University School of Medicine Tokyo Japan.
Jikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Risk prediction of anastomotic leakage using anatomical and vascular factors has not been well established. This study aimed to assess the anatomical and vascular factors affecting the hemodynamics of the gastric conduit and develop a novel risk stratification system in patients undergoing esophagectomy with retrosternal reconstruction. Methods: This retrospective cohort study analyzed 202 patients with esophageal cancer who underwent subtotal esophagectomy with gastric tube retrosternal reconstruction between January 2008 and December 2020. Risk factors for anastomotic leakage (AL), including the anatomical index (AI) and anastomotic viability index (AVI), were evaluated using a logistic regression model. Results: According to the logistic regression model, the independent risk factors for AL were preoperative body mass index ≥23.6 kg/m Conclusion: The combination of AI and AVI strongly predicted AL. Additionally, the use of AI and AVI enabled the stratification of the risk of AL in patients who underwent esophagectomy with retrosternal reconstruction.

Indexed as

anastomotic leakageanastomotic viability indexanatomical indexesophagectomy

Identifiers

PMID37927915
PMCPMC10623953
OpenAlexW4376891730

What OpenQuestion holds

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LicenceCC BY
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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.