Evidence map›Paper›PMID 32533301›Full record

ArticleJournal of gastroenterology2020

Clinicopathological features and risk factors for lymph node metastasis in early-stage non-ampullary duodenal adenocarcinoma.

Shoichi Yoshimizu, Hiroshi Kawachi, Yorimasa Yamamoto, Kaoru Nakano, Yusuke Horiuchi, Akiyoshi Ishiyama, Tomohiro Tsuchida, Toshiyuki Yoshio, Toshiaki Hirasawa, Hiromichi Ito and 1 more

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Article in Journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

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  18. Endoscopic Treatment for Superficial Nonampullary Duodenal Tumors.The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2021
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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

11 authors at 2 institutions in 1 country.

Shoichi YoshimizuDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiroshi KawachiDepartment of Pathology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan. hkawachi-path@umin.ac.jp.ORCID http://orcid.org/0000-0002-8270-791X
Yorimasa YamamotoDivision of Gastroenterology, Endoscopy Center, Showa University Fujigaoka Hospital, Yokohama, Japan.
Kaoru NakanoDepartment of Pathology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
Yusuke HoriuchiDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Akiyoshi IshiyamaDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Tomohiro TsuchidaDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Toshiyuki YoshioDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Toshiaki HirasawaDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiromichi ItoDepartment of Hepatobiliary and Pancreatic Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Junko FujisakiDepartment of Gastroenterology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
The Cancer Institute Hospital · JPShowa University Fujigaoka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement strategies for primary non-ampullary duodenal adenocarcinoma (NADAC) in early stage are not well established given its low incidence. This study aimed to elucidate clinicopathological features of early NADAC, including risk for lymph nodal metastasis (LNM).

methodsIn total, 166 patients with early NADAC underwent initial treatment at our institution between 2006 and 2019, of whom 153 had intramucosal (M-) and 13 had submucosal (SM-) NADAC. These endoscopic and pathological features were retrospectively analyzed. Risk factors for LNM were evaluated in 46 early NADAC patients who underwent surgery with lymph node dissection.

resultsCompared with M-NADAC, SM-NADAC was significantly more frequently located at the proximal side of the papilla, with mixed elevated and depressed macroscopic type, histologically poorly differentiated tumor and lymphovascular invasion (LVI) (85% vs. 47%, P = 0.009; 54% vs. 5%, P < 0.001; 23% vs. 0%, P < 0.001; and 46% vs. 0%, P < 0.001, respectively). The frequency of LNM was significantly higher in SM-NADAC than in M-NADAC (5/12, 42% vs. 0/34, 0%; P < 0.001). In SM-NADAC, the frequency of LNM was higher in poorly differentiated than in well to moderately differentiated tumors (3/3, 100% vs. 2/9, 22%) and higher in tumors with LVI than in those without LVI (3/5, 60% vs. 2/7, 29%). Regarding invasion depth, 2 of 4 patients with SM invasion (400 ≤ × < 500 µm) showed LNM. However, in this study, no patients developed very shallow SM invasion (0 < × < 400 µm).

conclusionsSM-NADAC showed high LNM risk. Surgical treatment with regional lymph node dissection is recommended as a treatment strategy for SM-NADAC.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overDuodenal NeoplasmsFemaleHumansLymphatic MetastasisLymph Node ExcisionMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingRetrospective StudiesRisk FactorsClinicopathological featuresDuodenumLymph node metastasisNon-ampullary duodenal adenocarcinomaSubmucosal invasive cancer

Identifiers

PMID32533301
OpenAlexW3034353444

What OpenQuestion holds

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Read underepoch 390

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.