Evidence map›Paper›PMID 41972323›Full record

ArticleCancer medicine2026

Dynamic Predictors for Malignancy Risk of Follicular Thyroid Neoplasms: A Real-World, 10-Year Cohort Study.

Rui Shan, Xin Li, Fan Zhang, Peng Fu, Fang Mei, Shi-Bing Song, Bang-Kai Sun, Jing Chen, Yang Yang, Yi-Hang Yang and 5 more

Abstract read
In one paragraph

Article in Cancer medicine, 2026. 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

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.

  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

15 authors.

Rui ShanDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Xin LiDepartment of General Surgery, Peking University Third Hospital, Beijing, P. R. China.
Fan ZhangDepartment of Ultrasound, Peking University Third Hospital, Beijing, P. R. China.
Peng FuDepartment of Ultrasound, Peking University Third Hospital, Beijing, P. R. China.
Fang MeiDepartment of Pathology, Peking University Third Hospital, Beijing, P. R. China.
Shi-Bing SongDepartment of General Surgery, Peking University Third Hospital, Beijing, P. R. China.
Bang-Kai SunInformation Management and Big Data Center, Peking University Third Hospital, Beijing, P. R. China.
Jing ChenDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Yang YangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Yi-Hang YangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Jing-Yao LiuDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Run-Ze HuDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Wen-Yu YangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.
Chun-Hui YuanDepartment of General Surgery, Peking University Third Hospital, Beijing, P. R. China.
Zheng LiuDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, P. R. China.ORCID https://orcid.org/0000-0002-0405-2348

Funding

Beijing Education Sciences Planning Program during the 14th Five-Year Plan BECA23111Beijing Natural Science Foundation 7262165Fundamental Research Funds for the Central Universities BMU2021YJ030National Natural Science Foundation of China 82373694Proof of Concept Program of Zhongguancun Science City and Peking University Third Hospital HDCXZHKC2022210Young Elite Scientists Sponsorship Program by CAST 2023QNRC001
6 · The paper itself

Abstract

objectiveThe malignancy risk of follicular thyroid neoplasms (FTN) is variable, yet most studies rely on static, single-time-point assessments without monitoring dynamic changes.

methodsWe included patients who received two or more preoperative ultrasound examinations and were diagnosed with follicular thyroid carcinoma (FTC) or follicular thyroid adenoma (FTA) after surgery. We first identified 11 key predictors for the malignancy risk of FTN, comprising five static predictors (age, sex, body mass index, baseline mean tumor diameter, and surveillance duration) and six dynamic predictors [average thyroid-stimulating hormone (TSH) level, TSH instability, weighted rate and instability of mean diameter, and changes in tumor margin and calcifications over time]. Then, we applied logistic regression to evaluate the association between each dynamic predictor and the malignancy risk of FTN, adjusting for the static predictors as potential confounders.

resultsThe results showed that a higher average TSH level was associated with a decreased risk of malignancy in FTN [odds ratio (OR): 0.67; 95% confidence interval (CI): 0.49, 0.92]. However, a shift in margin from circumscribed to irregular or maintaining an irregular margin was associated with a higher risk of malignancy [OR (95% CI): 4.18 (1.49, 11.71) and 5.33 (2.51, 11.35)]. We observed no association between the rate or instability of the mean tumor diameter and the malignancy risk of FTN.

conclusionChanges in tumor margins (to irregular or lobulated) and lower average TSH levels were key predictors of a higher malignancy risk, while the rate or instability of tumor growth might play a minor role.

Indexed as

Adenocarcinoma, FollicularThyroid NeoplasmsAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsThyrotropinUltrasonographyThyrotropindynamic predictorsfollicular thyroid neoplasmsmalignancy risk

Identifiers

PMID41972323
PMCPMC13071856

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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.