ReviewCureus2026
Hyperprolactinemia in Older Adults: A Narrative Review of Distinct Clinical Challenges and Management Strategies.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hyperprolactinemia in older adults represents a significant diagnostic and therapeutic challenge, as its manifestations can often be masked by symptoms typically associated with normal aging. Unlike in younger populations, the primary cause of this condition in the elderly is the use of medications, such as antipsychotics, antiemetics, and prokinetics. The clinical presentation of excessive prolactin production in the elderly varies significantly, and the diagnostic approach requires a high index of clinical suspicion and a thorough review of potentially involved medications. Management must be individualized, carefully selecting candidates for dopamine agonist therapy or, in cases of pituitary adenomas, surgical or radiotherapeutic management. This review synthesizes the evidence on these atypical presentations and the nuances of management tailored to the older adult.
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Registered trials
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.