Evidence map›Paper›PMID 35037108›Full record

ArticleJournal of the Egyptian National Cancer Institute2022

Oral carcinoma cuniculatum: an unacquainted entity with diagnostic challenges-a case report.

Safaa Baz, Hatem Wael Amer, Ali A Wahed

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Journal of the Egyptian National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors at 2 institutions in 1 country.

Safaa BazOral Pathology Department, Faculty of Dentistry, British University in Egypt (BUE), El Sherouk City, Suez Desert Road, P.O. Box 43, Cairo, 11837, Egypt. safaa.baz@bue.edu.eg.ORCID http://orcid.org/0000-0002-4694-060X
Hatem Wael AmerOral & Maxillofacial Pathology Department, Faculty of Dentistry, Cairo University, Cairo, Egypt.
Ali A WahedOral & Maxillofacial Pathology Department, Faculty of Dentistry, Cairo University, Cairo, Egypt.
Cairo University · EGBritish University in Egypt · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral carcinoma cuniculatum (OCC) is an unacquainted well-differentiated subtype of oral squamous cell carcinoma, which displays unique clinic-pathological features. Up to date, OCC remains rare with about 75 reported cases, and is frequently missed or even misdiagnosed. CASE PRESENTATION: The aim of the present work was: to report a case of OCC in mandibular gingiva and to highlight its main clinic-pathological diagnostic features: with an exophytic cobble-stone surface and a characteristic endophytic burrowing architecture, as well as to differentiate between it and other closely similar lesions including verrucous carcinoma, papillary squamous cell carcinoma, and well-differentiated conventional oral squamous cell carcinoma.

conclusionsAn accurate diagnosis of OCC entails awareness of the clinicians and pathologists about its entity, proper knowledge of the diagnostic clinical and histopathological evidence, and the ability to differentiate it from closely similar lesions.

Indexed as

Carcinoma, Squamous CellCarcinoma, VerrucousHead and Neck NeoplasmsMouth NeoplasmsHumansSquamous Cell Carcinoma of Head and NeckCase reportCunniculate carcinomaDifferential diagnosisOral carcinoma cuniculatumOral squamous cell carcinomaRabbit burrowsVerrucous carcinoma

Identifiers

PMID35037108
PMCPMC13314258
OpenAlexW4205693932

What OpenQuestion holds

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LicenceCC BY
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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.