ArticleJournal of neuroendocrinology2026
Dense sampling for mapping pituitary growth dynamics before, during, and after pregnancy.
Article in Journal of neuroendocrinology, 2026. 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
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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
2 citing papers in PubMed.
- Longitudinal MRI reveals adolescent pituitary growth patterns linked to puberty and environmental exposures.medRxiv : the preprint server for health sciences · 2026Article
- Dense sampling for mapping pituitary growth dynamics before, during, and after pregnancy.Journal of neuroendocrinology · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
Pregnancy represents a period of profound endocrine activity and neural reorganization. While recent evidence highlights pituitary volume as a biomarker of endocrine dynamics during pregnancy, its precise trajectory (timing and relative magnitude of effect) across human pregnancy remains undescribed. Three healthy women (59 total observations) underwent T1-weighted MRI before conception (5 baseline observations), during pregnancy (38 total observations, spanning gestational weeks 1-36), and up to 1 year postpartum (16 total observations). Anterior and posterior pituitary lobes were manually delineated at every visit. A longitudinal pipeline co-registered each scan to all other intra-subject scans, propagated their labels, and generated majority-vote ensembles for objective and regularized volume estimates. Person-centered z-scores were computed, and generalized additive mixed models (GAMMs) with random intercepts estimated nonlinear volume trajectories. The anterior lobe followed a nonlinear trajectory, with gestational age explaining 73% of adjusted variance in anterior-pituitary volume (edf = 7.59, F = 20.2, p
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