Evidence map›Paper›PMID 33673151›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Clinical Analysis of Early-Stage Pancreatic Cancer and Proposal for a New Diagnostic Algorithm: A Multicenter Observational Study.

Juri Ikemoto, Masahiro Serikawa, Keiji Hanada, Noriaki Eguchi, Tamito Sasaki, Yoshifumi Fujimoto, Shinichiro Sugiyama, Atsushi Yamaguchi, Bunjiro Noma, Michihiro Kamigaki and 9 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 41 citations in OpenAlex.

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  6. Pancreatic cancer.Nature reviews. Disease primers · 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

19 authors at 12 institutions in 1 country.

Juri IkemotoDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8551, Japan.ORCID 0000-0003-3992-0472
Masahiro SerikawaDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8551, Japan.ORCID 0000-0001-8350-7947
Keiji HanadaDepartment of Gastroenterology, Onomichi General Hospital, Onomichi 722-8508, Japan.ORCID 0000-0003-3196-8551
Noriaki EguchiDepartment of Gastroenterology, Hiroshima Memorial Hospital, Hiroshima 730-0802, Japan.
Tamito SasakiDepartment of Gastroenterology, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Yoshifumi FujimotoDepartment of Gastroenterology, Hiroshima General Hospital, Hatsukaichi 738-8503, Japan.
Shinichiro SugiyamaDepartment of Gastroenterology, Saiseikai Hiroshima Hospital, Aki 731-4311, Japan.
Atsushi YamaguchiDepartment of Gastroenterology, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Kure 737-0023, Japan.
Bunjiro NomaDepartment of Gastroenterology, Kure Kyosai Hospital, Kure 737-8508, Japan.
Michihiro KamigakiDepartment of Gastroenterology, Saiseikai Kure Hospital, Kure 737-0921, Japan.
Tomoyuki MinamiDepartment of Gastroenterology, National Hospital Organization Higashihiroshima Medical Center Affiliation, Higashihiroshima 739-0041, Japan.ORCID 0000-0002-0464-0633
Akihito OkazakiDepartment of Gastroenterology, Hiroshima Red Cross Hospital & Atomic-bomb Survivors Hospital, Hiroshima 730-8619, Japan.
Masanobu YukutakeDepartment of Gastroenterology, Hiroshima City Asa Citizens Hospital, Hiroshima 731-0293, Japan.
Yasutaka IshiiDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8551, Japan.ORCID 0000-0003-3545-8743
Teruo MouriDepartment of Gastroenterology, Chugoku Rosai Hospital, Kure 737-0193, Japan.
Akinori ShimizuDepartment of Gastroenterology, Onomichi General Hospital, Onomichi 722-8508, Japan.
Tomofumi TsuboiDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8551, Japan.
Koji ArihiroDepartment of Anatomical Pathology, Hiroshima University Hospital, Hiroshima 734-8551, Japan.
Kazuaki ChayamaDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8551, Japan.
Hiroshima University · JPHiroshima University Hospital · JPOnomichi General Hospital · JPChugoku Rosai Hospital · JPHigashihiroshima Medical Center · JPHiroshima City Asa Citizens Hospital · JPHiroshima General Hospital · JPHiroshima Prefectural Hospital · JPHiroshima Red Cross Hospital & Atomic-bomb Survivors Hospital · JPKure Kyosai Hospital · JPKure Medical Center · JPNational Hospital Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of pancreatic ductal adenocarcinoma (PDAC) is challenging but essential for improving its poor prognosis. We established a multicenter study to clarify the clinicopathological features, and to propose new algorithm for early diagnosis of PDAC. Ninety-six patients with stage 0 and IA PDAC were enrolled from 13 high-volume centers. Overall, 70% of the patients were asymptomatic. The serum pancreatic enzyme levels were abnormal in half of the patients. The sensitivity of endoscopic ultrasonography (EUS) for detecting small PDAC was superior to computed tomography and magnetic resonance imaging (MRI) (82%, 58%, and 38%, respectively). Indirect imaging findings were useful to detect early-stage PDAC; especially, main pancreatic duct stenosis on MRI had the highest positive rate of 86% in stage 0 patients. For preoperative pathological diagnosis, the sensitivity of endoscopic retrograde cholangiopancreatography (ERCP)-associated pancreatic juice cytology was 84%. Among the stage IA patients, EUS-guided fine-needle aspiration revealed adenocarcinoma in 93% patients. For early diagnosis of PDAC, it is essential to identify asymptomatic patients and ensure close examinations of indirect imaging findings and standardization of preoperative pathological diagnosis. Therefore, a new diagnostic algorithm based on tumor size and imaging findings should be developed.

Indexed as

early diagnosisendoscopic retrograde cholangiopancreatographyendoscopic ultrasonographymulticenter studypancreatic ductal adenocarcinoma

Identifiers

PMID33673151
PMCPMC7917700
OpenAlexW3133259202

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.