Evidence map›Paper›PMID 40453198›Full record

ArticleInternational journal of general medicine2025

Epidemiological and Pathogenic Characteristics of Benign and Malignant Thyroid Nodules Undergoing Ultrasonography for Health Checkup Population.

Zhifeng Yao, Weihong Zhou, Zhixiang Shen, Qingxia Li

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

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

  1. Ablative Technologies for Thyroid Nodules: A Health Technology Assessment.Ontario health technology assessment series · 2026
    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

4 authors.

Zhifeng YaoDepartment of Health Management Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.ORCID 0000-0002-6700-9857
Weihong ZhouDepartment of Health Management Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Zhixiang ShenDepartment of Health Management Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Qingxia LiDepartment of Health Management Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To analyze the epidemiological and pathogenic characteristics of benign and malignant thyroid nodules undergoing ultrasonography for health checkup population and evaluate the value of ultrasonography in early detection of thyroid cancer. Methods: The thyroid nodules ultrasonic characteristics of 70430 examinees in different ages and genders were retrospectively analyzed according to the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS). The high-risk thyroid nodules pathological results were compared with ultrasonic C-TIRADS to analyze the value of ultrasonography in early detection of thyroid cancer. Results: The total thyroid nodules prevalence was 47.64%. Females had a significantly higher prevalence of thyroid nodules than males (52.10% vs 43.48%; Conclusion: Age and gender are closely related to thyroid nodules prevalence. Ultrasonography based on C-TIRADS has certain value in detecting thyroid nodules and screening early thyroid cancer.

Indexed as

C-TIRADSepidemiologyscreeningthyroid nodulesultrasonography

Identifiers

PMID40453198
PMCPMC12126987

What OpenQuestion holds

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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.