Evidence map›Paper›PMID 38301678›Full record

ReviewThe lancet. Diabetes & endocrinology2024

A proposed clinical classification for pituitary neoplasms to guide therapy and prognosis.

Ken K Y Ho, Maria Fleseriu, John Wass, Laurence Katznelson, Gerald Raverot, Andrew S Little, Justo P Castaño, Martin Reincke, M Beatriz Lopes, Ursula B Kaiser and 3 more

Abstract readReview
In one paragraph

Review in The lancet. Diabetes & endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Article
  2. Review
  3. Approach to the patient: precision medicine-guided evaluation and treatment of acromegaly.The Journal of clinical endocrinology and metabolism · 2026
    Review
  4. Article
  5. Article
  6. Pathogenesis of nonfamilial somatotroph adenomas.The Journal of clinical endocrinology and metabolism · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

13 authors.

Ken K Y HoThe Garvan Institute of Medical Research, University of New South Wales, Sydney, NSW, Australia. Electronic address: k.ho@garvan.org.au.
Maria FleseriuOregon Health and Science University, Portland, OR, USA.
John WassChurchill Hospital, Oxford, UK.
Laurence KatznelsonStanford University School of Medicine, Stanford University, Stanford, CA, USA.
Gerald RaverotHospices Civils de Lyon, Groupement Hospitalier Est, Université Claude Bernard Lyon, Bron, France.
Andrew S LittleBarrow Neurological Institute, Phoenix, AZ, USA.
Justo P CastañoMaimónides Biomedical Research Institute of Córdoba, University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.
Martin ReinckeMedizinische Klinik und Poliklinik IV, Klinikumder Universität, Ludwig-Maximilians-Universität, München, Germany.
M Beatriz LopesSchool of Medicine, University of Virginia, Charlottesville, VA, USA.
Ursula B KaiserBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Philippe ChansonUniversité Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Mônica GadelhaUniversidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Shlomo MelmedCedars-Sinai Medical Center, Los Angeles, CA, USA.

Funding

Reproductive physiology of gonadotropin synthesisR37HD019938 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Ursula B. Kaiser · 2019 to 2026
$4.3M
NICHD NIH HHS R37 HD019938
6 · The paper itself

Abstract

No comprehensive classification system that guides prognosis and therapy of pituitary adenomas exists. The 2022 WHO histopathology-based classification system can only be applied to lesions that are resected, which represent few clinically significant pituitary adenomas. Many factors independent of histopathology provide mechanistic insight into causation and influence prognosis and treatment of pituitary adenomas. We propose a new approach to guide prognosis and therapy of pituitary adenomas by integrating clinical, genetic, biochemical, radiological, pathological, and molecular information for all adenomas arising from anterior pituitary cell lineages. The system uses an evidence-based scoring of risk factors to yield a cumulative score that reflects disease severity and can be used at the bedside to guide pituitary adenoma management. Once validated in prospective studies, this simple manageable classification system could provide a standardised platform for assessing disease severity, prognosis, and effects of therapy on pituitary adenomas.

Indexed as

AdenomaPituitary NeoplasmsHumansPrognosisProspective StudiesRisk Factors

Identifiers

PMID38301678
PMCPMC12051483

What OpenQuestion holds

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Registered trials

None linked

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.