Evidence map›Paper›PMID 41476992›Full record

ArticleInternational journal of endocrinology2025

Association Between FT4/FT3 Ratio and Short-Term Treatment Response in Differentiated Thyroid Cancer Patients.

Sen Zhang, Shuli Niu, Ling Zhou, Yuhao Liu, Mao Deng

Abstract read
In one paragraph

Article in International journal of endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Sen ZhangDepartment of Nuclear Medicine, Deyang People's Hospital, Deyang, China.ORCID https://orcid.org/0000-0002-8475-2968
Shuli NiuDepartment of Nuclear Medicine, Deyang People's Hospital, Deyang, China.ORCID https://orcid.org/0000-0001-6174-6568
Ling ZhouDepartment of Nuclear Medicine, Deyang People's Hospital, Deyang, China.ORCID https://orcid.org/0000-0002-7007-0093
Yuhao LiuDepartment of Nuclear Medicine, Deyang People's Hospital, Deyang, China.ORCID https://orcid.org/0009-0006-3403-7276
Mao DengDepartment of Nuclear Medicine, Deyang People's Hospital, Deyang, China.ORCID https://orcid.org/0009-0001-1114-8057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thyroid cancer is the most common endocrine tumor, with its incidence increasing worldwide. Although differentiated thyroid cancer (DTC) generally has a good prognosis, some patients still experience recurrence or persistent lesions after initial treatment. This study aimed to explore the relationship between free thyroxine (FT4)/free triiodothyronine (FT3) ratio and short-term treatment response in patients with DTC. Methods: A retrospective analysis was conducted on 225 patients with DTC who received treatment at the Nuclear Medicine Department of Deyang People's Hospital from 2019 to 2022. All patients underwent total or subtotal thyroidectomy followed by radioactive iodine therapy. Clinical data and preoperative laboratory test results were collected, and multivariable logistic regression analysis was used to evaluate the association between the FT4/FT3 ratio and the short-term treatment response in DTC, as well as trend analysis and restricted cubic spline (RCS) evaluation for nonlinear relationships. Results: Among the 225 patients, 159 (70.7%) achieved an excellent response (ER). Compared to the non-ER group, the ER group had higher levels of FT4 ( Conclusion: The FT4/FT3 ratio is significantly associated with short-term treatment response in patients with DTC. A higher FT4/FT3 ratio may be an independent predictive factor for a favorable prognosis in DTC patients. Future studies should further investigate its mechanisms and potential clinical applications.

Indexed as

differentiated thyroid cancerexcellent responseFT4/FT3 ratioprognosis predictionthyroid hormones

Identifiers

PMID41476992
PMCPMC12752828

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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.