Evidence map›Paper›PMID 33582864›Full record

ArticleJournal of gastroenterology2021

Nationwide survey of neuroendocrine carcinoma of the esophagus: a multicenter study conducted among institutions accredited by the Japan Esophageal Society.

Makoto Sohda, Hiroyuki Kuwano, Hiroshi Saeki, Tatsuya Miyazaki, Makoto Sakai, Yoshihiro Kakeji, Yasushi Toh, Yuichiro Doki, Hisahiro Matsubara

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Esophageal neuroendocrine carcinoma: molecular insights, diagnostic advances, and emerging treatment strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

9 authors at 5 institutions in 1 country.

Makoto SohdaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan. msohda@gunma-u.ac.jp.
Hiroyuki KuwanoDepartment of General Surgical Science, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Hiroshi SaekiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Tatsuya MiyazakiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Makoto SakaiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Yoshihiro KakejiDivision of Gastro-Intestinal Surgery, Department of Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Yasushi TohDepartment of Gastroenterological Surgery, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.
Yuichiro DokiDepartment of Gastroenterological Surgery, Osaka University, Graduate School of Medicine, Osaka, Japan.
Hisahiro MatsubaraDepartment of Frontier Surgery, Chiba University, Graduate School of Medicine, Chiba, Japan.
Gunma University · JPChiba University · JPKobe University · JPNational Hospital Organization Kyushu Cancer Center · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal neuroendocrine carcinoma (ENEC) is an extremely rare type of tumor characterized by a high malignant potential, rapid growth, and poor prognosis. Because the standard therapy for ENEC has been poorly defined, we herein aimed to attain a clear view of the current state of treatment for ENEC by performing a large-scale, multicenter study.

methodsWe conducted a questionnaire-based, retrospective clinical review of 142 patients with ENEC treated at 37 hospitals accredited by the Japan Esophageal Society from January 2010 to December 2015.

resultsThe most frequent main treatment performed was an operation, followed by chemoradiotherapy, chemotherapy, and endoscopic submucosal dissection. Among the 67 patients who underwent surgery, 28 (19.7%) were not accurately diagnosed with NEC or a combined NEC tumor by pretreatment biopsy. The 5-year overall survival rate of all patients was 33.2%. Among patients with Stages III and IV disease, the prognosis was significantly better in patients who underwent chemoradiotherapy than in patients who underwent other treatments. Among patients with Stages I and II disease, however, there was no difference in survival rates between those who underwent surgery and chemoradiotherapy.

conclusionsThis nationwide survey is a valuable report of the current status of treatment of ENEC in a limited number of cases experienced at each participating institution. The survival benefit obtained from surgery was considered to be limited, especially for Stages III and IV ENEC. Accurate pretreatment histological diagnosis is essential to determine the most appropriate treatment strategy for patients with ENEC.

Indexed as

AdultAgedAged, 80 and overCarcinoma, NeuroendocrineEsophagusFemaleHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesStatistics, NonparametricSurveys and QuestionnairesSurvival RateChemoradiotherapyEsophageal neuroendocrine carcinomaOperationPrognosisSurvey

Identifiers

PMID33582864
OpenAlexW3132919942

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.