Evidence map›Paper›PMID 39865963›Full record

ArticleUltrasonic imaging2025

The Predictive Value of a Nomogram Based on Ultrasound Radiomics, Clinical Factors, and Enhanced Ultrasound Features for Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma.

Lei Gao, Xiuli Wen, Guanghui Yue, Hui Wang, Ziqing Lu, Beibei Wu, Zhihong Liu, Yuming Wu, Dongmei Lin, Shijian Yi and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Ultrasonic imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Lei GaoDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Xiuli WenDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Guanghui YueSchool of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China.
Hui WangDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Ziqing LuDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Beibei WuDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Zhihong LiuDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Yuming WuDepartment of Ultrasound, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Dongmei LinDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.ORCID 0000-0003-1985-6338
Shijian YiDepartment of Thyroid and Breast Surgery, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
Wei JiangDepartment of Ultrasound, Shenzhen Nanshan District Peoples Hospital, Shenzhen, PR China.
Yi HaoDepartment of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.ORCID 0009-0005-2966-0322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to establish and validate an ultrasound radiomics nomogram for preoperative prediction of central lymph node metastasis in papillary thyroid microcarcinoma (PTMC) before operation. A retrospective analysis conducted on ultrasonic images and clinical features derived from 288 PTMC patients, who were divided into training cohorts (

Indexed as

Carcinoma, PapillaryLymphatic MetastasisNomogramsThyroid NeoplasmsAdultAgedFemaleHumansLymph NodesMaleMiddle AgedPredictive Value of TestsRadiomicsRetrospective StudiesThyroid GlandUltrasonographyCentral lymph node metastasisContrast-enhanced ultrasoundPapillary thyroid microcarcinoma (PTMC)

Identifiers

PMID39865963
PMCPMC11783986

What OpenQuestion holds

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Registered trials

None linked

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.