Evidence map›Paper›PMID 26860936›Full record

ReviewEndocrine pathology2016

Clinical Impact of the Current WHO Classification of Pituitary Adenomas.

W Saeger, J Honegger, M Theodoropoulou, U J Knappe, C Schöfl, S Petersenn, R Buslei

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.9field-weighted citation impact, top 3% 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.

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

21 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  10. Review
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  12. Pituitary Adenoma in Pediatric and Adolescent Populations.Journal of neuropathology and experimental neurology · 2019
    Article
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  15. Review
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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

7 authors at 5 institutions in 1 country.

W SaegerInstitutes of Pathology and Neuropathology, University of Hamburg, UKE, Martinistraße 52, 20246, Hamburg, Germany. w.saeger@uke.de.
J HoneggerClinic of Neurosurgery, University of Tübingen, 72076, Tübingen, Germany.
M TheodoropoulouDepartment of Endocrinology, Max Planck Institute of Psychiatry, 80804, Munich, Germany.
U J KnappeDepartment of Neurosurgery, Johannes-Wesling-Klinikum Minden, 32429, Minden, Germany.
C SchöflDivision of Endocrinology and Diabetes, Department of Medicine I, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany.
S PetersennENDOC Center for Endocrinology, 22587, Hamburg, Germany.
R BusleiDepartment of Neuropathology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEJohannes Wesling Klinikum Minden · DEMax Planck Institute of Psychiatry · DEUniversität Hamburg · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHO classifications should be used for comparing the results from different groups of pathologist and clinicians by standardized histopathological methods. Our present report describes the important parameters of pituitary adenoma pathology as demand of the WHO classification for correlation to endocrine data and prognosis. The combination of HE stain based structures with immunostainings for pituitary hormones allows subclassification of adenomas as the best method not only for correlations to clinical hyperfunctions but also for statements to the sensitivity of drug therapies (somatostatin analogs, dopamine agonists). GH-, PRL- and ACTH-secreting pituitary adenomas are further classified based on the size and number of their secretory granules by electron microscopy, or as is mostly the case nowadays by cytokeratin staining pattern, into densely and sparsely granulated. Granulation pattern may be considered for the prediction of treatment response in patients with GH-secreting adenomas, since the sparsely granulated subtype was shown to be less responsive to somatostatin analog treatment. For prognosis, it is important to identify aggressive adenomas by measurements of the Ki-67 index, of the number of mitoses, and of nuclear expression of p53. Among the criteria for atypical adenomas, high Ki-67 labeling index and invasive character are the most important adverse prognostic factors. Promising molecular markers have been identified that might supplement the currently used proliferation parameters. For defining atypical adenomas in a future histopathological classification system, we propose to provide the proliferative potential and the invasive character separately.

Indexed as

AdenomaBiomarkers, TumorHumansPituitary NeoplasmsWorld Health OrganizationBiomarkers, TumorAdenomaClassificationClinical impactPituitaryWHO

Identifiers

PMID26860936
OpenAlexW2265676392

What OpenQuestion holds

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Read underepoch 390

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.