Evidence map›Paper›PMID 38150606›Full record

ArticleMedicina oral, patologia oral y cirugia bucal2024

Systemic therapies for salivary gland carcinomas: an overview of published clinical trials.

L-C Silva, M-E Pérez-de-Oliveira, C-M Pedroso, A-A Leite, A-R Santos-Silva, M-A Lopes, G-D Junior, M-D Martins, V-P Wagner, L-P Kowalski and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Medicina oral, patologia oral y cirugia bucal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

13 authors at 5 institutions in 3 countries.

L-C SilvaDepartment of Oral Diagnosis Piracicaba Dental School, University of Campinas Av Limeira, 901, Postal code:13414-016, Piracicaba, São Paulo, Brasil pavargas@unicamp.br.
M-E Pérez-de-Oliveira
C-M Pedroso
A-A Leite
A-R Santos-Silva
M-A Lopes
G-D Junior
M-D Martins
V-P Wagner
L-P Kowalski
C-H Squarize
R-M Castilho
P-A Vargas
Universidade Estadual de Campinas (UNICAMP) · BRUniversity of Michigan–Ann Arbor · USUniversidade de São Paulo · BRUniversidade Federal do Rio Grande do Sul · BRUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is no consensus about effective systemic therapy for salivary gland carcinomas (sgcs). Our aim was summarized the clinical trials assessing the systemic therapies (ST) on sgcs. MATERIAL AND

methodsElectronic searches were carried out through MEDLINE/pubmed, EMBASE, Scopus, Web of Science, and the Cochrane Library databases, and gray literature.

resultsSeventeen different drugs were evaluated, and the most frequent histological subtype was adenoid cystic carcinoma (n=195, 45.5%). Stable disease, observed in 11 ST, achieved the highest rate in adenoid cystic carcinoma treated with sunitinib. The highest complete (11.1%) and partial response (30.5%) rates were seen in androgen receptor-positive tumors treated with leuprorelin acetate.

conclusionsDespite all the advances in this field, there is yet no effective evidence-based regimen of ST, with all the clinical trials identified showing low rates of complete and partial responses. Further, translational studies are urgently required to characterize molecular targets and effective ST.

Indexed as

Carcinoma, Adenoid CysticSalivary Gland NeoplasmsDatabases, FactualHumansSalivary Glands

Identifiers

PMID38150606
PMCPMC10945875
OpenAlexW4390262599

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.