Evidence map›Paper›PMID 24466554›Full record

ArticleBlood research2013

Nodular lymphoid hyperplasia of the stomach in a patient with multiple submucosal tumors.

Ja Young Jeon, Sun Gyo Lim, Jang Hee Kim, Kee Myung Lee, Sung Ran Cho, Jae Ho Han

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Blood research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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.

Ja Young JeonDepartment of Internal Medicine, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea.
Sun Gyo LimDepartment of Gastroenterology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea.
Jang Hee KimDepartment of Pathology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea.
Kee Myung LeeDepartment of Gastroenterology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea.
Sung Ran ChoDepartment of Laboratory Medicine, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea.
Jae Ho HanDepartment of Pathology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea.
Ajou University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nodular lymphoid hyperplasia of the stomach is a rare lymphoproliferative disorder. Here, we report a 38-year-old man who presented with multiple submucosal tumors of the stomach. Histologically, the lesions were characterized by multiple discrete submucosal nodules of lymphoid cells. The infiltrates between the lymphoid follicles were composed mainly of medium-sized lymphoid cells with abundant clear cytoplasm, as well as a few large cells with vesicular nuclei. The gastric mucosa exhibited multifocal lymphoid aggregates and some of the epithelial cells were infiltrated by small lymphocytes mimicking lymphoepithelial lesions. Histopathology was consistent with mucosa-associated lymphoid tissue lymphoma. However, the infiltrating lymphoid cells were positive for CD2, CD3, CD5, and CD7. In addition, polymerase chain reaction analysis of the immunoglobulin heavy chain and T-cell receptor gene rearrangements demonstrated polyclonality. This case was diagnosed as reactive lymphoid hyperplasia of the stomach.

Indexed as

Lymphoid hyperplasiaMALTomaStomach

Identifiers

PMID24466554
PMCPMC3894388
OpenAlexW2022643813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.