Evidence map›Paper›PMID 42837020›Full record

ReviewHead and neck pathology2026

Integrating Histological and Molecular Findings for Practical Salivary Gland Diagnostics.

Jinesa Moodley

Abstract readReview
In one paragraph

Review in Head and neck pathology, 2026. 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

1 author.

Jinesa MoodleyBC Cancer Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada. jinesa.moodley@bccancer.bc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this review paper is to provide an integrative algorithmic approach to the diagnosis of salivary gland tumors, including pertinent histologic features, immunohistochemical patterns and molecular driver mutations and/or fusions.

methodsReview of the literature was performed to provide an up-to-date synopsis of salivary gland tumors, in a concise and summarized format.

resultsDiagnostic workflow algorithms are created and included to complement the histomorphologic subgroups, to provide a user-friendly tool when approaching salivary gland tumors in routine surgical pathology.

conclusionHistomorphologic features and immunophenotype of majority of salivary gland tumors, including select molecular surrogate immunohistochemical stains, are the most important starting point in diagnostic interpretation. Molecular data can provide an additional data point for further supporting evidence and/or to aid in challenging cases.

Indexed as

Salivary Gland NeoplasmsAlgorithmsBiomarkers, TumorHumansImmunohistochemistryBiomarkers, TumorBenign salivary gland neoplasmsDiagnostic pathology workflow algorithmsImmunohistochemistryMalignant salivary gland neoplasmsMolecular diagnosticsSalivary gland neoplasms

Identifiers

PMID42837020
PMCPMC13642885

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.