Evidence map›Paper›PMID 27004251›Full record

ArticleEndoscopy international open2016

Ileal follicular lymphoma with atypical endoscopic findings.

Satoshi Yamada, Yorimitsu Koshikawa, Naoki Minami, Yusuke Honzawa, Minoru Matsuura, Hiroshi Nakase

Open access · goldAbstract readCase Reports
In one paragraph

Article in Endoscopy international open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Atypical jejunal follicular lymphoma with severe stricture.Clinical journal of gastroenterology · 2022
    Article
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Satoshi YamadaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yorimitsu KoshikawaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Naoki MinamiDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yusuke HonzawaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Minoru MatsuuraDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroshi NakaseDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 72-year-old woman presented with symptomatic anemia without abdominal symptoms. She had no history of abdominal surgery or use of non-steroidal anti-inflammatory drugs. Enhanced computed tomography of the abdomen revealed swelling of multiple intraperitoneal lymph nodes and a high density of mesenteric adipose tissue. Fluorodeoxyglucose (FDG-) positron emission tomography showed high FDG accumulation at the intraperitoneal lymph nodes. Double-balloon enteroscopy detected severe stenosis with an annular ulcer in the lower ileum. She was diagnosed with ileal follicular lymphoma based on histologic examination and fluorescence in situ hybridization analysis of the biopsy specimen. The ileal ulcer was successfully treated by chemotherapy with rituximab and bendamustine for 1 year. We strongly recommend consideration of gastrointestinal follicular lymphoma in the differential diagnosis of annular ulcers in the small intestine.

Identifiers

PMID27004251
PMCPMC4798843
OpenAlexW2300902424

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.