Evidence map›Paper›PMID 38929710›Full record

ReviewLife (Basel, Switzerland)2024

Current Developments in Diagnosis of Salivary Gland Tumors: From Structure to Artificial Intelligence.

Alexandra Corina Faur, Roxana Buzaș, Adrian Emil Lăzărescu, Laura Andreea Ghenciu

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. One case of facial salivary gland secretory carcinoma and a literature review.International journal of surgery case reports · 2026
    Article
  6. Article
  7. Article
  8. Haemangiopericytoma and solitary fibrous tumour of the parotid gland: a scoping review.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

4 authors.

Alexandra Corina FaurDepartment of Anatomy and Embriology, "Victor Babeș" University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timișoara, Romania.
Roxana BuzașDepartment of Internal Medicine I, Center for Advanced Research in Cardiovascular Pathology and Hemostaseology, "Victor Babeș" University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timișoara, Romania.ORCID 0000-0001-7476-6584
Adrian Emil LăzărescuDepartment of Anatomy and Embriology, "Victor Babeș" University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timișoara, Romania.
Laura Andreea GhenciuDepartment of Functional Sciences, "Victor Babeș"University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timișoara, Romania.ORCID 0000-0002-5326-5438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salivary glands tumors are uncommon neoplasms with variable incidence, heterogenous histologies and unpredictable biological behaviour. Most tumors are located in the parotid gland. Benign salivary tumors represent 54-79% of cases and pleomorphic adenoma is frequently diagnosed in this group. Salivary glands malignant tumors that are more commonly diagnosed are adenoid cystic carcinomas and mucoepidermoid carcinomas. Because of their diversity and overlapping features, these tumors require complex methods of evaluation. Diagnostic procedures include imaging techniques combined with clinical examination, fine needle aspiration and histopathological investigation of the excised specimens. This narrative review describes the advances in the diagnosis methods of these unusual tumors-from histomorphology to artificial intelligence algorithms.

Indexed as

artificial intelligenceclassificationimmunohistochemistrysalivary gland tumors

Identifiers

PMID38929710
PMCPMC11204840

What OpenQuestion holds

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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.