Evidence map›Paper›PMID 33962926›Full record

ArticleBMJ case reports2021

Rare case of a duodenal de novo dedifferentiated gastrointestinal stromal tumour.

Pritik A Shah, Raghavendra Babu, Sowmya B Uthaiah, Shekar Patil

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Pritik A ShahDepartment of Hepato Pancreato Biliary (HPB) Surgery and Liver Transplant, HealthCare Global Enterprises Ltd, Bangalore, Karnataka, India.
Raghavendra BabuDepartment of Hepato Pancreato Biliary (HPB) Surgery and Liver Transplant, HealthCare Global Enterprises Ltd, Bangalore, Karnataka, India raghavendrababuj@gmail.com.
Sowmya B UthaiahDepartment of Histopathology, HealthCare Global Enterprises Ltd, Bangalore, Karnataka, India.
Shekar PatilDepartment of Medical Oncology, HealthCare Global Enterprises Ltd, Bangalore, Karnataka, India.
Healthcare Global Enterprises · INStrand Life Sciences (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal stromal tumours (GISTs) are the most common mesenchymal neoplasms of the gastrointestinal tract. Dedifferentiation in these tumours occurs rarely, and when it does occurs most commonly after prolonged treatment with imatinib. We report the case of a 64-year-old man who presented with a mass of 8×7×3 cm dimensions involving the duodenum and head of the pancreas. On histopathology, areas of anaplastic tumour cells were negative for DOG-1, c-kit, CD-34, desmin and panCK along with a molecular level study showing wild-type KIT and PDGFRA (platelet-derived growth factor receptor alpha) gene. Based on focal GIST-like areas and CD117 positivity and absence of prior therapy, the diagnosis of a de novo dedifferentiated GIST was made. These tumours need to be reported as they pose a diagnostic challenge and their predicted response rated to targeted molecular therapies are unclear as compared with their c-kit positive counterparts.

Indexed as

Gastrointestinal Stromal TumorsDuodenumHumansImatinib MesylateMutationProto-Oncogene Proteins c-kitReceptor, Platelet-Derived Growth Factor alphaImatinib MesylateProto-Oncogene Proteins c-kitReceptor, Platelet-Derived Growth Factor alphagastrointestinal surgerypathologytyrosine Kinase Inhibitor

Identifiers

PMID33962926
PMCPMC8108652
OpenAlexW3157913665

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.