Evidence map›Paper›PMID 38194218›Full record

ArticleEndocrine2024

Are prolactin levels efficient in predicting a pituitary lesion in patients with hyperprolactinemia?

Emanuele Varaldo, Daniela Cuboni, Nunzia Prencipe, Luigi Simone Aversa, Michela Sibilla, Fabio Bioletto, Alessandro Maria Berton, Valentina Gasco, Ezio Ghigo, Silvia Grottoli

Open access · hybridAbstract read
In one paragraph

Article in Endocrine, 2024. 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
3.6field-weighted citation impact, top 7% 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, 10 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 1 institution in 3 countries.

Emanuele VaraldoDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy. emanuele.varaldo@unito.it.ORCID 0000-0002-3772-8586
Daniela CuboniDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Nunzia PrencipeDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Luigi Simone AversaDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Michela SibillaDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Fabio BiolettoDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Alessandro Maria BertonDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Valentina GascoDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Ezio GhigoDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Silvia GrottoliDivision of Endocrinology, Diabetology and Metabolism; Department of Medical Sciences, University of Turin, Turin, Italy.
Department of Medical Sciences · BY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeData regarding the presence of a prolactin (PRL) threshold above which a pituitary magnetic resonance imaging (MRI) is mandatory in patients with hyperprolactinemia (hyperPRL) are controversial and derived primarily from studies focused on female populations. Aim of our study was to evaluate in a cohort of patients of both sexes with confirmed hyperPRL, the possible correlation between PRL values and the presence of pituitary abnormalities.

methodsWe retrospectively analyzed data from patients who underwent serial PRL sampling at our Division between January 2015 and December 2022. Patients diagnosed with monomeric hyperPRL at serial sampling and with subsequent contrast-enhanced MRI results available for the pituitary region were included in the study. Exclusion criteria were prior pituitary disease, severe renal insufficiency, liver cirrhosis, uncompensated primary hypothyroidism and ongoing therapy with hyperprolactinemic drugs. Physiological causes of hyperPRL were also ruled out.

resultsOut of the 1253 patients who underwent serial PRL sampling, 139 patients (101 women and 38 men) met the inclusion criteria: 106 (76.3%) patients had some form of pituitary disease, with microlesions observed in 69.8%, macrolesions in 25.5% and other findings in 4.7% of subjects. PRL values showed a modest accuracy in predicting the presence of a pituitary abnormality and the best cut-offs identified were >25 µg/L (AUC 0.767, p = 0.003) and >44.2 µg/L (AUC 0.697, p < 0.001) in men and women, respectively; however, if only patients with PRL values > 500 µg/L were excluded from the analysis, as they were already supposed to harbor a macroprolactinoma, PRL levels were not able to predict the presence of a macrolesion neither in men nor women.

conclusionGiven the high prevalence of pituitary abnormalities in patients of both sexes with hyperPRL at serial sampling, performing a pituitary imaging in all cases of hyperPRL, even if mild, appears to be a cautious choice.

Indexed as

HyperprolactinemiaMagnetic Resonance ImagingProlactinAdolescentAdultAgedFemaleHumansMaleMiddle AgedPituitary DiseasesPituitary GlandPituitary NeoplasmsRetrospective StudiesYoung AdultProlactinHyperprolactinemiaPituitary lesionProlactinSellar massSerial samplingStalk-effect

Identifiers

PMID38194218
PMCPMC11076328
OpenAlexW4390766647

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.