Evidence map›Paper›PMID 34846682›Full record

ArticleEndocrine2022

Speed of response to dopaminergic agents in prolactinomas.

Camille Hage, Roberto Salvatori

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 1 institution in 1 country.

Camille HageDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, and Pituitary Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6652-0725
Roberto SalvatoriDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, and Pituitary Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA. salvator@jhmi.edu.ORCID http://orcid.org/0000-0001-6495-2244
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHyperprolactinemia in the presence of a sellar lesion can be caused by prolactin secretion from the lesion, or by increased intrasellar pressure/compression of the pituitary stalk ("stalk effect"). The objective of this work was to determine the response to dopamine agonists (DAs) in bona fide prolactinomas presenting with a prolactin range similar to what can be seen in nonhormonal secreting pituitary tumors.

methodsA descriptive study on 68 prolactinomas presenting with prolactin levels between 50 and 200 ng/mL in a tertiary center in the U.S.A. over 22 years. The main outcome was prolactin decrease from diagnosis to follow-up by 2 months from initiation of DA therapy.

resultsWith a median time to follow-up from starting DA therapy of 5 weeks [IQR:4, 6], the median prolactin check showed normality at 11.85 ng/mL [IQR: 5.1, 29]. The median prolactin percent change was at 87% [IQR:67, 94] by 2 months. The majority (75%) of patients presenting had a 2/3 (67%) prolactin drop by 2 months, with more than 1/4 (25%) having a percent drop >95%.

conclusionsA rapid decline in prolactin level can be seen in prolactinomas upon initiation of DA therapy. This significant prolactin drop restricts the ability to establish a threshold beyond which the diagnosis of prolactinoma could be excluded.

Indexed as

Dopamine AgonistsHyperprolactinemiaPituitary NeoplasmsProlactinomaHumansProlactinDopamine AgonistsProlactinCabergolineDopamine AgentsHyperprolactinemiaProlactinoma

Identifiers

PMID34846682
OpenAlexW3216647058

What OpenQuestion holds

Textmetadata
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.