Evidence map›Paper›PMID 31636877›Full record

ReviewJournal of clinical and experimental dentistry2019

Sialadenoma papilliferum: Bibliometric analysis.

Antonio-Jorge-Araújo de Vasconcelos Ii, Luana-Rafaela Gerber, Stanny-Hagath-Maciel Saraiva, Pâmela-Oliveira de Vasconcelos, Lioney-Nobre Cabral, Tiago-Novaes Pinheiro

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical and experimental dentistry, 2019. 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
0.7field-weighted citation impact, top 28% 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, 6 citations in OpenAlex.

  1. Review
  2. Sialadenoma Papilliferum: An Uncommon Verruco-Papillary Lesion of the Oral Cavity.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2025
    Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Antonio-Jorge-Araújo de Vasconcelos IiMaster of Dental Sciences, concentration in Oral Pathology. Professor in the fields of oral pathology, stomatology, oral diagnosis, and cariology at the Amazonas State University.
Luana-Rafaela GerberDental Surgeon, School of Dentistry, Amazonas State University, Manaus, Amazonas, Brazil.
Stanny-Hagath-Maciel SaraivaDental Surgeon, School of Dentistry, Amazonas State University, Manaus, Amazonas, Brazil.
Pâmela-Oliveira de VasconcelosDental Surgeon, School of Dentistry, Amazonas State University, Manaus, Amazonas, Brazil.
Lioney-Nobre CabralDoctor in biotechnology, concentration in health. Professor in the fields of oral pathology, stomatology, oral diagnosis and cariology at the Amazonas State University.
Tiago-Novaes PinheiroDoctor in oral pathology. Adjunct professor of Oral Medicine and Oral Pathology at Amazonas State University, oral pathologist, coordinator of the Service of Pathological Anatomy of the Amazonas State University.
Universidade do Estado do Amazonas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMATERIAL AND

methodsA total of 36 publications referring to

resultsThe people most affected with sialadenoma were white males at the average age of 56. The lesion was asymptomatic, usually white or red, with an average size of 1.4 cm, and the palate was by far the most affected site. The majority of the lesions were excised, and only two cases indicated recurrence.

conclusionsWith surgical removal,

Identifiers

PMID31636877
PMCPMC6797451
OpenAlexW2976026733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.