ArticleJournal of personalized medicine2024
Effect of Age, Gender, Food Intake, Obesity, and Smoking on Serum Levels of Prolactin in Healthy Adults.
Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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
2 citing papers in PubMed.
- The Interplay of Prolactin with Inflammatory Nutritional Markers and NT-proBNP in Chronic Kidney Disease.International journal of molecular sciences · 2025Observational
- Abnormally Increased Prolactin Levels in Women with Polycystic Ovarian Syndrome Are Associated with Risk of Obesity, Insulin Resistance and Prediabetes.International journal of molecular sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveThe objective of this study was to investigate the effect of age, gender, body mass index (BMI), food intake, and smoking on serum prolactin (PRL) levels among healthy adults.
methodsIn total, 100 healthy adults (46 males and 54 females) aged ≥18 years were recruited. Serum PRL levels were measured after a 9 h overnight fast, 1 h postprandially (early), and 3 h postprandially (late).
resultsMean PRL levels were significantly higher in females than males in the fasting, early, and late postprandial states. PRL levels were suppressed significantly after food intake in both genders. Mean PRL levels were significantly higher in younger individuals (<30 years) in the fasting and the early postprandial states compared to older individuals (≥30 years) and suppressed significantly after food intake in younger individuals only. Mean PRL levels were not significantly different between individuals with a normal BMI (<25 kg/m
conclusionOur data suggest that age, gender, and food intake should be considered when the serum PRL level is measured in clinical practice.
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What Socratic holds
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.