Evidence map›Paper›PMID 42766092›Full record

ArticleIrish journal of medical science2026

Irish giants: from myth to medicine.

Wouter W de Herder, Paul Benjamin Loughrey, Márta Korbonits, Adrian F Daly

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Article in Irish journal of medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wouter W de HerderDepartment of Internal Medicine, Sector of Endocrinology, Erasmus Medical Center, Rotterdam, 3015 GD, The Netherlands. w.w.deherder@erasmusmc.nl.ORCID http://orcid.org/0000-0003-1463-5165
Paul Benjamin LoughreyDepartment of Endocrinology, Beaumont Hospital, Dublin, Ireland.ORCID http://orcid.org/0000-0002-5491-6730
Márta KorbonitsDepartment of Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-4101-9432
Adrian F DalyDepartment of Endocrinology, Centre Hospitalier Universitaire de Liège, Liège Université, Domaine Universitaire Sart-Tilman, Liège, 4000, Belgium.ORCID http://orcid.org/0000-0001-6130-2975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The archetype of the 'Irish giant' in folklore appears to be rooted in historical individuals afflicted by pituitary gigantism. This review compiles and critically assesses the veracity of historical accounts, primarily from the late 17th to the early 20th century, for a group of individuals with gigantism that had Irish origins. Clinical and, in some cases, osteological data (e.g., Charles Byrne, Cornelius Magrath, and Patrick Cotter) confirm a diagnosis of pituitary gigantism, a rare disease that is caused by excess growth hormone secretion from a pituitary adenoma. In the pre-scientific era, the effects of the unopposed hormone excess resulted in extreme tall stature, debilitating morbidity, and usually premature death. This aligns with our modern understanding of the potential severity of hormonal excess and tumour growth in pituitary gigantism. The high concentration of cases in Ulster is explained by a founder germline pathogenic variant (c.910 C > T, p.(R304*)) in the AIP gene, that was identified in multiple contemporary families, later in the skeleton of Charles Byrne and most recently, among the Irish diaspora. Estimated to have arisen around 2500 years ago, this variant established a direct medical explanation for a regional phenomenon. In this review we provide a detailed compilation of historical Irish giants and discuss the evidence linking myth and folklore to the modern medical reality of pituitary gigantism as a rare, severe genetic disease.

Indexed as

AIPFounderGeneticsGiantGigantismHistoryHotspotIrelandMythologyPituitary

Identifiers

PMID42766092

What OpenQuestion holds

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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.