Evidence map›Paper›PMID 37434652›Full record

ReviewEndocrine oncology (Bristol, England)2023

The evolution in pituitary tumour classification: a clinical perspective.

Nele F Lenders, Peter E Earls, Warrick J Inder, Ann I McCormack

Abstract readReview
In one paragraph

Review in Endocrine oncology (Bristol, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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  11. scRNA sequencing technology for PitNET studies.Frontiers in endocrinology · 2024
    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

4 authors.

Nele F LendersDepartment of Endocrinology, St Vincent's Hospital, Sydney, NSW, Australia.ORCID 0000-0002-6738-0832
Peter E EarlsDepartment of Anatomical Pathology and Cytopathology, St Vincent's Pathology, Sydney, NSW, Australia.
Warrick J InderDepartment of Diabetes and Endocrinology, Princess Alexandra Hospital, Brisbane, QLD, Australia.
Ann I McCormackDepartment of Endocrinology, St Vincent's Hospital, Sydney, NSW, Australia.ORCID 0000-0002-2859-5566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Pituitary tumours comprise a pathologically and clinically diverse group of neoplasms. Classification frameworks have changed dramatically in the past two decades, reflecting improving understanding of tumour biology. This narrative review examines the evolution of pituitary tumour classification, from a clinical perspective. Results: In 2004, pituitary tumours were classified as 'typical' or 'atypical', based on the presence of markers of proliferation, Ki67, mitotic count and p53. In 2017, the new WHO marked a major paradigm shift, with a new focus on lineage-based classification, determined by transcription factor and hormonal immunohistochemistry. The terms 'typical' and 'atypical' were omitted, though the importance of proliferative markers Ki67 and mitotic count was acknowledged. The recent WHO 2022 classification incorporates further refinements, specifically recognising some less common types that may represent less well-differentiated tumours. Whilst 'high risk' tumour types have been identified, further work is still required to improve prognostication. Conclusions: Recent WHO classifications have marked significant progress in the diagnostic evaluation of pituitary tumours, though shortcomings and challenges remain for both clinicians and pathologists in managing these tumours.

Indexed as

immunohistochemistryneuroendocrine tumourspituitarytranscription factors

Identifiers

PMID37434652
PMCPMC10305559

What OpenQuestion holds

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LicenceCC BY-NC
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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.