Evidence map›Paper›PMID 40565361›Full record

ReviewInternational journal of molecular sciences2025

A Bridge Too Far? Towards Medical Therapy for Clinically Nonfunctioning Pituitary Tumors.

Nikita Mogar, Dongyun Zhang, Anthony P Heaney

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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.

Nikita MogarUCLA Department of Medicine, Los Angeles, CA 90095, USA.ORCID 0000-0002-9501-8806
Dongyun ZhangUCLA Department of Medicine, Los Angeles, CA 90095, USA.ORCID 0000-0002-0751-7809
Anthony P HeaneyUCLA Department of Medicine, Los Angeles, CA 90095, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinically nonfunctioning pituitary tumors (CNFPTs) typically do not cause hormonal excess, progress insidiously, and are often large and invasive at presentation. Complete resection is frequently not attainable; radiotherapy (RT) may effectively limit growth but carries a significant risk of hypopituitarism. Medical therapy with dopamine D2 receptor agonists and/or somatostatin analogs has been explored in CNFPTs but have yielded inconsistent results, and there is an unmet need for novel efficacious and safe medical therapies. The authors used the PubMed database to identify and review articles published from January 1982 to July 2024, that discussed the medical treatment of CNFPTs. The most commonly studied medical therapies were somatostatin receptor ligands (SRLs) and dopamine D2 receptor agonists. Of 111 patients with CNFPTs treated with SRLs, 31 (28%) exhibited tumor shrinkage. Following dopamine agonist treatment in 355 patients, tumor shrinkage occurred in 113 (32%), tumor stabilization in 182 (51%), and tumor growth in 60 (17%). The efficacy of other less commonly employed therapies such as GnRH analogs, PRRT, and temozolomide was also reviewed. Efficacious and safe medical therapies evaluated in robust randomized placebo-controlled clinical trials are needed to improve the management of CNFPTs.

Indexed as

Pituitary NeoplasmsDopamine AgonistsHumansReceptors, Dopamine D2Receptors, SomatostatinSomatostatinDopamine AgonistsReceptors, Dopamine D2Receptors, SomatostatinSomatostatinclinically nonfunctioning pituitary tumorsdopamine receptor agonistmedical treatmentmolecular pathogenesisradiationsomatostatin receptor ligandsurgery

Identifiers

PMID40565361
PMCPMC12192710

What Socratic 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 Socratic graph.