Evidence map›Paper›PMID 40492118›Full record

ArticleFrontiers in oncology2025

Ultrasound-guided radiofrequency ablation for the treatment of anaplastic thyroid cancer: a case report.

Tian Liu, Chen Xu, Hangjun Chen, Fuhua Chen, Bei Feng, Xiaoying Tao, Yibo Zhou

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Tian LiuDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Chen XuDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Hangjun ChenDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Fuhua ChenDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Bei FengDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Xiaoying TaoDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Yibo ZhouDepartment of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anaplastic thyroid cancer (ATC) is a rare but highly aggressive tumor of the thyroid. Due to its rapid progression and resistance to radiotherapy, the prognosis of ATC is poor. Novel treatments have been increasingly applied in recent years, but the outcome of treatment is not satisfactory. Case presentation: We present a case of advanced ATC that cannot be surgically resected, who underwent ultrasound-guided radiofrequency ablation (RFA) combined with immunotherapy and targeted therapy for tumor shrinkage. The patient's symptoms, including neck pain, were significantly relieved, and the follow-up of this patient showed a satisfactory outcome with no associated complications. To the best of our knowledge, this is the first case of palliative treatment by RFA in a patient with advanced ATC. It exemplifies a new application and success of this classical approach in palliative treatment. Conclusion: This case indicates that RFA has a good therapeutic effect on elderly patients with advanced ATC. Such an approach will provide new ideas for the treatment of advanced ATC and warrants further study in the future.

Indexed as

anaplastic thyroid cancercase reportradiofrequency ablationradiofrequency ablation (RFA)ultrasound-guided

Identifiers

PMID40492118
PMCPMC12146179

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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.