Evidence map›Paper›PMID 40465053›Full record

ReviewEndocrine pathology2025

Reticulin Framework Assessment in Neoplastic Endocrine Pathology.

Umberto Mortara, Giulia Orlando, Marco Volante, Mauro Papotti, Eleonora Duregon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Avoiding overdiagnosis of parathyroid carcinoma.Virchows Archiv : an international journal of pathology · 2026
    Review
  4. 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

5 authors.

Umberto MortaraPathology Unit, Città Della Salute E Della Scienza Hospital, Turin, Italy.
Giulia OrlandoDepartment of Oncology, University of Turin, Orbassano, Turin, Italy.
Marco VolanteDepartment of Oncology, University of Turin, Orbassano, Turin, Italy. marco.volante@unito.it.
Mauro PapottiDepartment of Oncology, University of Turin, Orbassano, Turin, Italy.
Eleonora DuregonDepartment of Oncology, University of Turin, Orbassano, Turin, Italy.

Funding

Associazione Italiana per la Ricerca sul Cancro IG 27891
6 · The paper itself

Abstract

The reticulin framework, composed mainly of type III collagen, is an essential structural component of biological tissues. Reticulin stains, particularly silver-based methods, enable detailed visualization of reticulin framework alterations, which have been proven to be quick, low-cost, and reliable solutions for highlighting quantitative and qualitative changes of reticulin framework and have been variably associated with neoplastic and non-neoplastic conditions. This review provides an updated overview of reticulin stain applications and reticulin framework assessment in endocrine and neuroendocrine neoplasms, including those of the pituitary, parathyroid, adrenal, and other neuroendocrine systems. In pituitary neuroendocrine tumors, reticulin framework loss serves as a distinguishing feature between normal and neoplastic adenohypophysis. Parathyroid neoplasms, including adenomas, atypical tumors, and carcinomas, exhibit varying degrees of reticulin framework disruption, which may aid in differential diagnosis. Similarly, in adrenocortical neoplasms, reticulin framework evaluation plays a crucial role in malignancy assessment, as defined in the reticulin algorithm, which incorporates reticulin framework alterations alongside three Weiss criteria: necrosis, high mitotic count (> 5/10 mm

Indexed as

Endocrine Gland NeoplasmsNeuroendocrine TumorsReticulinHumansReticulinAlgorithmComputational pathologyEndocrineReticulinReticulin framework

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.