Evidence map›Paper›PMID 40272265›Full record

ReviewCancer cytopathology2025

Cytopathology of follicular and oncocytic follicular thyroid neoplasms: A Bethesda System perspective.

André Lametti, Fadi Brimo, Yonca Kanber, Derin Caglar, Manon Auger

Abstract readReview
In one paragraph

Review in Cancer cytopathology, 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. Review
  2. Article
  3. 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.

André LamettiDepartment of Pathology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-0110-0727
Fadi BrimoDepartment of Pathology, McGill University, Montreal, Quebec, Canada.
Yonca KanberDepartment of Pathology, McGill University, Montreal, Quebec, Canada.
Derin CaglarDepartment of Pathology, McGill University, Montreal, Quebec, Canada.
Manon AugerDepartment of Pathology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-8815-7373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The third edition of The Bethesda System for Reporting Thyroid Cytopathology includes category IV, follicular neoplasm (FN), which is used to classify fine-needle aspirates of thyroid nodules that may correspond to invasive follicular-derived neoplasia other than papillary thyroid carcinoma. This diagnosis is infrequently rendered, and may represent a challenge for pathologists. This review presents a practical approach to FN and its subtype oncocytic follicular neoplasm (OFN). First, minimal criteria for the diagnosis must be achieved, namely sufficient cellularity, architectural features consistent with neoplasia, and follicular cell or oncocytic cytomorphology. Second, select diagnoses that are common or important differential diagnoses for FN or OFN must be ruled out, via a combination of morphological findings and limited ancillary tests, when available. These include follicular nodular disease, parathyroid sampling, metastatic carcinoma, noninvasive follicular thyroid neoplasm with papillary-like nuclear features, medullary thyroid carcinoma, certain subtypes of papillary thyroid carcinoma, and lymphocytic thyroiditis. This approach should allow for a careful selection of cases where diagnostic thyroid lobectomy is an appropriate therapeutic modality.

Indexed as

Adenocarcinoma, FollicularAdenoma, OxyphilicThyroid NeoplasmsBiopsy, Fine-NeedleCytodiagnosisDiagnosis, DifferentialHumanscytologyfine‐needle aspirationfollicular adenocarcinomathyroid epithelial cells/pathologythyroid glandthyroid neoplasms/diagnosis

Identifiers

PMID40272265
PMCPMC12020665

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Registered trials

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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.