Evidence map›Paper›PMID 37274230›Full record

ArticleFrontiers in oncology2023

Case Report: A tortuous diagnosis and successful multimodal treatment of thyroid follicular carcinoma with pelvic metastasis.

Zhi-Liang Hong, Hai-Jian Huang, Sheng Chen, Jian-Chuan Yang, Song-Song Wu

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2023. 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
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Zhi-Liang HongShengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Hai-Jian HuangShengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Sheng ChenShengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Jian-Chuan YangShengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Song-Song WuShengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Fujian Provincial Hospital · CNFuzhou Pulmonary Hospital of Fujian · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To provide reference method for the treatment of thyroid follicular carcinoma by studing the clinical imaging, pathological features and multimodal treatment of a case of thyroid follicular carcinoma with bone metastasis. Methods: By identifying the case's clinical, imaging, pathological features of a case of thyroid follicular carcinoma with bone metastasis, reflecting on the case's diagnosis and treatment process, and referring to literature about the characteristics of thyroid follicular carcinoma, the study aims to provide reference for the treatment of this kind of disease. Result: A 67-year-old male patient was admitted to the hospital with clinical symptoms of left pelvic pain. The biopsy pathology showed well-differentiated thyroid tissue. Considering his medical history, conclusion of thyroid follicular carcinoma metastasis could be made.The patient was stable and no tumor progression was observed after a combination of therapies including Conclusions: Thyroid follicular carcinoma are prone to bone metastasis, and bone metastasis is the first symptom in some cases. Clinical imaging and pathology are needed for correct diagnosis, and a successful treatment requires a combination of multiple approaches including

Indexed as

MDTmultimodal treatmentpelvic metastasisthyroid follicular carcinomaultrasound

Identifiers

PMID37274230
PMCPMC10235689
OpenAlexW4377097583

What OpenQuestion holds

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LicenceCC BY
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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.