Evidence map›Paper›PMID 38302854›Full record

SynthesisEsophagus : official journal of the Japan Esophageal Society2024

Efficacy of thoracic endovascular aortic repair for aorto-esophageal fistula due to esophageal cancer: a systematic review and meta-analysis.

Makoto Sakai, Makoto Sohda, Shintaro Uchida, Arisa Yamaguchi, Takayoshi Watanabe, Hideyuki Saito, Nobuhiro Nakazawa, Kengo Kuriyama, Akihiko Sano, Hiroomi Ogawa and 4 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Esophagus : official journal of the Japan Esophageal Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

14 authors at 1 institution in 1 country.

Makoto SakaiDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Makoto SohdaDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan. msohda@gunma-u.ac.jp.ORCID 0000-0001-9769-8385
Shintaro UchidaDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Arisa YamaguchiDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Takayoshi WatanabeDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Hideyuki SaitoDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Nobuhiro NakazawaDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Kengo KuriyamaDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Akihiko SanoDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Hiroomi OgawaDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Takehiko YokoboriInitiative for Advanced Research, Gunma University, Maebashi, Japan.
Kazue NagaiGunma University Center for Food Science and Wellness, Maebashi, Japan.
Ken ShirabeDepartment of General Surgical Science, Graduate School of Medicine, Gunma University, Maebashi, Japan.
Hiroshi SaekiDivision of Gastroenterological Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Gunma University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aorto-esophageal fistula (AEF) due to esophageal cancer (EC) is a life-threatening condition characterized by sudden hemorrhage, which often causes sudden death. To evaluate the efficacy and safety of thoracic endovascular aortic repair (TEVAR) for AEF due to EC, we performed a systematic review and meta-analysis. We searched the MEDLINE (PubMed) databases, the Cochrane Library databases, Ichushi-Web (the databases of the Japan Medical Abstract Society), and CiNii (Academic information search service of the National Institute of Information from Japan) from January 2000 to November 2023 for articles about TEVAR for an emergent aortic hemorrhage (salvage TEVAR [S-TEVAR]), and the prophylactic procedure (P-TEVAR). Six studies (140 cases) were eligible for meta-analysis. The 90-day mortality of S-TEVAR and P-TEVAR was 40% (95% CI 23-60, I

Indexed as

Aorta, ThoracicAortic DiseasesEndovascular Aneurysm RepairEsophageal FistulaEsophageal NeoplasmsVascular FistulaAgedFemaleHumansMaleMiddle AgedPostoperative ComplicationsTreatment OutcomeAorto-esophageal fistulaEsophageal cancerRiskThoracic endovascular aortic repair

Identifiers

PMID38302854
OpenAlexW4391451424

What OpenQuestion holds

Textmetadata
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.