Evidence map›Paper›PMID 34917220›Full record

ArticleRadiology case reports2022

Case Report- A rare case of giant hyperplastic polyp.

Satya Sundar Gajendra Mohapatra, Beena D Agarwal, Manisha Gupta

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Satya Sundar Gajendra MohapatraDepartment of Radiodiagnosis, IMS and SUM Hospital, Siksha O Anusandhan University, Bhubaneswar, Odisha, India.
Beena D AgarwalDepartment of Radiodiagnosis, IMS and SUM Hospital, Siksha O Anusandhan University, Bhubaneswar, Odisha, India.
Manisha GuptaDepartment of Radiodiagnosis, IMS and SUM Hospital, Siksha O Anusandhan University, Bhubaneswar, Odisha, India.
Siksha O Anusandhan University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant gastric hyperplastic polyps are the most common benign epithelial tumors in the stomach. These are non-neoplastic epithelial proliferations of the stomach which are strongly associated with inflammatory conditions like chronic gastritis, helicobacter pylori gastritis, reactive or chemical gastritis. A 60 years old gentleman presented with history of two bouts of hematemesis preceded by multiple intermittent episodes of epigastric pain, nausea and few episodes of non-bilious vomiting without any history of previous gastrointestinal bleed, loss of appetite or significant weight loss. Work up with ultrasonography of abdomen, upper gastrointestinal endoscopy, contrast enhanced computed tomography abdomen, laboratory investigations followed by biopsy and histopathology was done which confirmed the diagnosis. Giant hyperplastic polyps are benign epithelial tumor of stomach often resulting from excessive regenerative hyperplasia in areas of chronic inflammation with no site predilection and nearly no malignant potential. Usually asymptomatic, these are incidentally detected on upper gastrointestinal endoscopy with characteristic appearance of such polyps on double contrast barium study followed by upper gastrointestinal endoscopy and biopsy is definitive for diagnosis.

Indexed as

Gastric epithelial tumorGastric hyperplasiaGastric polypGiant hyperplastic polypHelicobacter pyloriPedunculated polypSessile polyp

Identifiers

PMID34917220
PMCPMC8646053
OpenAlexW4200266647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.