Evidence map›Paper›PMID 40687584›Full record

ArticleFrontiers in endocrinology2025

Assessing thyroid health: phenotypic age compared to chronological age.

Dongyu Yang, Cihang Lu, Haonan Zhang, Xiaoguang Shi, Ying Sun, Ying Shao, Shuting Fan, Lijun Tian, Di Teng

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

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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

4 citing papers in PubMed.

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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

9 authors.

Dongyu YangThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Cihang LuThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Haonan ZhangThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Xiaoguang ShiThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Ying SunThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Ying ShaoThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Shuting FanThe Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Lijun TianThe Department of Endocrinology and Metabolism, Institute of Endocrinology, National Health Commission Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Di TengThe Department of Endocrinology and Metabolism, Institute of Endocrinology, National Health Commission Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Aging is associated with thyroid dysfunction, but the role of phenotypic age, a biological aging measure derived from nine clinical biomarkers and chronological age, remains unclear. Methods: This cross-sectional study included 6,681 adults from the National Health and Nutrition Examination Survey (NHANES, 2007-2012) with complete thyroid function and age data. Participants were grouped into quartiles based on chronological and phenotypic age. Weighted multinomial logistic regression was used to assess the association between aging and thyroid disorders, followed by the use of restricted cubic splines (RCSs) to explore potential nonlinear relationships. Subgroup and sensitivity analyses were conducted to test robustness. Mediation analysis assessed the role of phenotypic age components in the link between phenotypic age and thyroid dysfunction. Results: Thyroid-stimulating hormone (TSH) and free thyroxine (FT4) exhibited U-shaped relationships with both chronological and phenotypic age, while free triiodothyronine (FT3) showed a nonlinear association with chronological age and a negative linear correlation with phenotypic age. The age gap (phenotypic age minus chronological age) was positively associated with TSH and nonlinearly with FT4. Thyroid peroxidase antibody (TPOAb) exhibits a nonlinear association with both age types, and thyroglobulin antibody (TGAb) has a positive linear association with chronological age. PPhenotypic age showed stronger linear associations with TPOAb positivity (PTPOAb), TGAb positivity (PTGAb), overt hyperthyroidism, and subclinical hypothyroidism than chronological age. Overt hypothyroidism demonstrated an inverted U-shaped association with both age metrics and a positive correlation with age gap. Mediation analysis revealed that mean cell volume mediated 10% of the association between phenotypic age and overt hypothyroidism, while lymphocyte percentage exhibited a negative mediation effect (-26%) in the association between phenotypic age and subclinical hypothyroidism. Discussion: Phenotypic age better captures aging-related changes in thyroid function than chronological age and may serve as a useful biological aging marker in clinical endocrine research.

Indexed as

AgingThyroid DiseasesThyroid GlandAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPhenotypeThyroid Function TestsThyrotropinThyroxineBiomarkersThyrotropinThyroxineTriiodothyronineagingFT3FT4hyperthyroidismhypothyroidismphenotypic agethyroid antibodyTSH

Identifiers

PMID40687584
PMCPMC12270862

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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.