Evidence map›Paper›PMID 42109649›Full record

ArticleFrontiers in oncology2026

Case Report: The clear cell variant of papillary thyroid carcinoma: a clinicopathologic study of four cases with emphasis on

Li Xu, Bin Luo, Qianwen Wang, Wen Liu, Xiaokang Ke, Jingping Yuan

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Li XuDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Bin LuoDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Qianwen WangDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Wen LiuDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Xiaokang KeDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Jingping YuanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clear cell variant of papillary thyroid carcinoma (CLCVPTC) is an exceedingly rare and diagnostically challenging subtype of papillary thyroid carcinoma (PTC), defined by distinctive histomorphologic features. Here, we aimed to delineate the clinicopathologic, immunohistochemical, and molecular genetic characteristics of CLCVPTC by retrospectively analyzing four pathologically confirmed cases diagnosed at our institution between 2018 and 2025, together with a comprehensive review of the published literature. The male to female ratio of the four CLCVPTC cases is 1: 3, with a median age of 60 years (range 45-68) and presented clinically with thyroid nodules. Histopathological evaluation demonstrated infiltrative tumor growth patterns with solid, trabecular, and focal papillary architectures. Tumor cells displayed abundant clear cytoplasm (more than 90% of all tumor cells in our cases, meeting the diagnostic threshold of >50%) and classic nuclear features of PTC, including ground-glass nuclei, nuclear grooves, and intranuclear inclusions. Lymph node metastases were observed in three cases. Immunohistochemical profiling revealed consistent positivity for TTF-1, Pax8, CK7, thyroglobulin (TG) and Galectin-3, and absence of expression for TPO, BRAF V600E mutation, and various neuroendocrine markers. Polymerase chain reaction (PCR) identified an

Indexed as

clear cell variant typeclinicopathologic featuresdifferential diagnosismolecular featurespapillary thyroid carcinoma

Identifiers

PMID42109649
PMCPMC13149142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.