Evidence map›Paper›PMID 39476176›Full record

ArticleJournal of endocrinological investigation2025

Breast Cancer risk in patients with dopamine agonist-treated hyperprolactinemia.

Laura Dery, Ilan Shimon, Yaron Rudman, Hiba Masri Iraqi, Shiri Kushnir, Tzipora Shochat, Odelia Cooper, Amit Akirov

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Article in Journal of endocrinological investigation, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Laura DeryFaculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID http://orcid.org/0000-0002-3344-3006
Ilan ShimonFaculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yaron RudmanFaculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Hiba Masri IraqiFaculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Shiri KushnirResearch Authority, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.
Tzipora ShochatBiostatistics Unit, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.
Odelia CooperPituitary Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Amit AkirovFaculty of Medicine, Tel Aviv University, Tel Aviv, Israel. amit.akirov@gmail.com.ORCID http://orcid.org/0000-0002-9376-344X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGiven prolactin's (PRL) multifaceted roles in mammary tissue, an association between hyperprolactinemia and breast cancer has been hypothesized. Despite previous studies not identifying this risk, we aimed to investigate whether a connection exists.

methodsThis retrospective cohort study compared breast cancer incidence in patients with dopamine agonist (DA)-treated hyperprolactinemia versus matched controls in a 1:5 ratio. The primary outcome was a breast cancer diagnosis following hyperprolactinemia diagnosis.

resultsThe cohort consisted of 1484 female patients with DA-treated hyperprolactinemia matched to 7418 female controls (mean age at diagnosis 32.70 ± 11.12 years; BMI 25.60 ± 5.84 kg/m

conclusionOverall, patients with DA-treated hyperprolactinemia did not show an increased risk for breast cancer compared to controls. However, the risk was significantly higher among those whose PRL levels were < 5×ULN, had advanced age of diagnosis, or prolonged time to PRL normalization.

Indexed as

Breast NeoplasmsDopamine AgonistsHyperprolactinemiaAdultCase-Control StudiesFemaleFollow-Up StudiesHumansIncidenceMiddle AgedPrognosisProlactinRetrospective StudiesRisk FactorsDopamine AgonistsProlactinBreast Cancer; Dopamine Agonist; Hyperprolactinemia; Pituitary; Prolactinoma

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Registered trials

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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.