Evidence map›Paper›PMID 36344905›Full record

ReviewHead and neck pathology2023

A Fibroblastic Reticular Cell Tumour Arising in the Oral Cavity: A Case Report and Review of the Literature.

Hannah Walsh, Daniel Brierley, Alan Patterson, Malee Fernando

Open access · hybridAbstract readReviewCase Reports
In one paragraph

Review in Head and neck pathology, 2023. 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
–field-weighted citation impact, top 80% 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, 0 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 3 institutions in 1 country.

Hannah WalshSchool of Clinical Dentistry, University of Sheffield, Sheffield S10 2TA, Sheffield, UK. hannah.walsh@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-6516-7210
Daniel BrierleySchool of Clinical Dentistry, University of Sheffield, Sheffield S10 2TA, Sheffield, UK.
Alan PattersonDepartment of Oral and Maxillofacial Surgery, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, Rotherham, UK.
Malee FernandoHaemato-oncology Diagnostic Services (HODS), Department of Histopathology, Sheffield Teaching Hospitals, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, Sheffield, UK.
University of Sheffield · GBRotherham General Hospital · GBRoyal Hallamshire Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumours of dendritic or histiocytic lineage are amongst the rarest tumours and probably account for < 1% of tumours affecting the lymph nodes or soft tissue. Because several of these entities were poorly recognised until recently, the true incidence is not determined.

methodsWe present what we believe is the first reported case report of a fibroblastic reticular cell tumour arising in the oral cavity as well as reviewing the current literature regarding this rare subset of tumours.

resultsWe discuss the clinical and histopathological findings of our reported case and examine the literature regarding this entity. We discuss the key differential diagnoses to consider when making this diagnosis.

conclusionHistiocytic and dendritic cell derived tumours are exceptionally rare within the head and neck region although a number of these tumours have been reported within the oral cavity. We present what we believe is the first reported case of a fibroblastic reticular cell tumour arising within the oral cavity.

Indexed as

NeoplasmsHistiocytesHumansLymph NodesMouthNeckDendritic cellsDiagnosis(oral)ImmunohistochemistryNeoplasmsOral pathologyTongue

Identifiers

PMID36344905
PMCPMC10293531
OpenAlexW4308410955

What OpenQuestion holds

Textmetadata
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.