Evidence map›Paper›PMID 40727139›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2025

A Literature Review About Richter's Syndrome Presented in the Mouth.

Omid Shahbazi, Fereshteh Goudarzi, Ali Jamali

Abstract read
In one paragraph

Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Omid ShahbaziDentist, Ardabil, Iran.ORCID https://orcid.org/0009-0007-4027-1189
Fereshteh GoudarziOral and Maxillofacial Radiology, School of Dentistry, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.ORCID https://orcid.org/0000-0001-9263-6150
Ali JamaliHormozgan University of Medical Sciences, Bandar Abbas, Iran.ORCID https://orcid.org/0009-0004-5241-3154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Richter transformation is the conversion of chronic lymphocytic leukemia into aggressive lymphoma, often diffuse large B-cell lymphoma, occurring in about 2-10% of chronic lymphocytic leukemia patients. Recognizing oral manifestations of this transformation is crucial for early diagnosis and management, as they can significantly affect treatment outcomes. A literature review was performed following PRISMA guidelines. We systematically searched the PubMed/MEDLINE database for case reports from 1980 to September 2024 using terms like "CLL," "Richter's Transformation," "oral manifestation," and "oral signs." Non-case reports and non-English studies were excluded for consistency and relevance. The literature review identified various oral manifestations linked to Richter transformation in chronic lymphocytic leukemia patients, including lymphomatous lesions, gingival hypertrophy, and ulcerative lesions in the head and neck. These findings underscore the need for careful patient monitoring for potential Richter transformation indicators. The literature review identified various oral manifestations linked to Richter transformation in chronic lymphocytic leukemia patients, including lymphomatous lesions, gingival hypertrophy, and ulcerative lesions in the head and neck. These findings underscore the need for careful patient monitoring for potential Richter transformation indicators.

Indexed as

CLLOral manifestationOral signsRichter transformation

Identifiers

PMID40727139
PMCPMC12297045

What OpenQuestion holds

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Registered trials

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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.