Evidence map›Paper›PMID 40642044›Full record

ArticleFrontiers in psychology2025

Exploring the psychological landscape of thyroid nodules: resilience, anxiety, and ultrasound correlations.

Jing Wang, Lixia Wang, Daidi Zhang, Guoqing Chen, Qinfang Zhang, Haiyan Chen, Jiamao Cheng

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

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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

1 citing paper in PubMed.

  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

7 authors.

Jing WangDepartment of Ultrasound Medicine, First Affiliated Hospital of Dali University, Dali, Yunnan, China.
Lixia WangSchool of Basic Medicine, Dali University, Dali, Yunnan, China.
Daidi ZhangDepartment of Ultrasound Medicine, First Affiliated Hospital of Dali University, Dali, Yunnan, China.
Guoqing ChenDepartment of Ultrasound Medicine, First Affiliated Hospital of Dali University, Dali, Yunnan, China.
Qinfang ZhangDepartment of Ultrasound Medicine, First Affiliated Hospital of Dali University, Dali, Yunnan, China.
Haiyan ChenDepartment of Ultrasound Medicine, First Affiliated Hospital of Dali University, Dali, Yunnan, China.
Jiamao ChengDepartment of Neurology, First Affiliated Hospital of Dali University, Dali, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While thyroid nodules (TN) represent a prevalent clinical entity with ultrasound-guided management paradigms, the psychological sequelae of diagnostic imaging remain underexplored. This study investigates the complex interplay between ultrasound characteristics (C-TIRADS), psychological resilience, and anxiety manifestations in TN patients, addressing a critical gap in psychosomatic thyroidology. Methods: In this prospective cross-sectional study, 303 consecutive TN patients (mean age 47.3 ± 12.1 years, 72.6% female) underwent standardized ultrasound evaluation using Aplio500 systems (Toshiba) at the First Affiliated Hospital of Dali University (October 2022-October 2024). C-TIRADS classifications were independently adjudicated by two radiologists. Psychological assessments employed the Hamilton Anxiety Rating Scale (HAMA) and Connor-Davidson Resilience Scale (CD-RISC) within 48 h post-examination. Advanced statistical analyses included: (1) Multivariate regression modeling accounting for demographic confounders. (2) Spearman/Kendall correlation matrices. (3) Ordinal logistic regression for malignancy risk stratification. Results: Psychological assessments revealed that TN Conclusion: Higher C-TIRADS malignancy risk classifications were associated with reduced resilience and increased anxiety, particularly in patients with irregular nodule edges. Clinical approaches should focus on psychological support to boost resilience, treatment outcomes, and quality of life.

Indexed as

anxietycorrelationsresiliencethyroid nodulesultrasonic characteristics of C-TIRADS

Identifiers

PMID40642044
PMCPMC12241807

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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.