Evidence map›Paper›PMID 29440248›Full record

ArticleJournal of medical genetics2018

Risk category system to identify pituitary adenoma patients with

Francisca Caimari, Laura Cristina Hernández-Ramírez, Mary N Dang, Plamena Gabrovska, Donato Iacovazzo, Karen Stals, Sian Ellard, Márta Korbonits, International FIPA consortium

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00461188 (Genetics of Endocrine Tumours - Familial Isolated Pituitary Adenoma - FIPA), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
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.

NCT00461188 recruitingnot on this map

Genetics of Endocrine Tumours - Familial Isolated Pituitary Adenoma - FIPA

TypeobservationalSponsorBarts & The London NHS TrustRan2007 to 2037Enrolled10,000ConditionsAcromegaly, Gigantism, Familial Isolated Pituitary Adenoma, FIPA
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Pituitary gigantism due to a novelEndocrine oncology (Bristol, England) · 2024
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Genetics of Acromegaly and Gigantism.Journal of clinical medicine · 2021
    Review
  14. Review
  15. Observational
  16. Aggressive pituitary tumors in the young and elderly.Reviews in endocrine & metabolic disorders · 2020
    Review
  17. Potential markers of disease behavior in acromegaly and gigantism.Expert review of endocrinology & metabolism · 2020
    Review
  18. Article
  19. Article
  20. The Genetics of Pituitary Adenomas.Journal of clinical medicine · 2019
    Review
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

9 authors at 3 institutions in 3 countries.

Francisca CaimariCentre of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Laura Cristina Hernández-RamírezCentre of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Mary N DangCentre of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Plamena GabrovskaCentre of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Donato IacovazzoCentre of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Karen StalsDepartment of Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
Sian EllardDepartment of Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
Márta KorbonitsCentre of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
International FIPA consortium
Queen Mary University of London · GBRoyal Devon & Exeter NHS Foundation Trust · GBWilliam Harvey Research Institute · GB

Funding

Medical Research Council MR/M018539/1MRF_ C0467Wellcome Trust
6 · The paper itself

Abstract

backgroundPredictive tools to identify patients at risk for gene mutations related to pituitary adenomas are very helpful in clinical practice. We therefore aimed to develop and validate a reliable risk category system for aryl hydrocarbon receptor-interacting protein (

methodsAn international cohort of 2227 subjects were consecutively recruited between 2007 and 2016, including patients with pituitary adenomas (familial and sporadic) and their relatives. All probands (n=1429) were screened for

results1405 patients had a pituitary tumour, of which 43% had a positive family history, 55.5% had somatotrophinomas and 81.5% presented with macroadenoma. Overall, 134 patients had an

conclusionWe propose a user-friendly risk categorisation system that can reliably group patients into high-risk, moderate-risk and low-risk groups for the presence of

Indexed as

AdenomaAdultCohort StudiesFemaleGenetic TestingGerm-Line MutationHumansIntracellular Signaling Peptides and ProteinsMaleMiddle AgedPituitary NeoplasmsRisk Assessmentaryl hydrocarbon receptor-interacting proteinIntracellular Signaling Peptides and ProteinsacromegalyAIP mutationsfamilial pituitary adenomarisk category systemscreening

Identifiers

PMID29440248
PMCPMC5869708
OpenAlexW2785660485

What OpenQuestion holds

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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 OpenQuestion graph.