Evidence map›Paper›PMID 42222094›Full record

Observational studyFrontiers in endocrinology2026

An ultrasonographic tumor location-based model for predicting central lymph node metastasis in unifocal papillary thyroid microcarcinoma.

Nan Pang, Ranglamu Cai, Wenhui Zhang, Ruoyao Zhang, Qian Sun, Yuyuan Huang, Jie Zhang

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Frontiers in endocrinology, 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

7 authors.

Nan PangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Ranglamu CaiDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Wenhui ZhangBaodi District Hospital of Traditional Chinese Medicine, Tianjin, China.
Ruoyao ZhangUltrasound Department Affiliated Hospital of North China University of Science and Technology, Hebei Tangshan, China.
Qian SunDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Yuyuan HuangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Jie ZhangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Accurate preoperative assessment of central lymph node metastasis (CLNM) in patients with unifocal papillary thyroid microcarcinoma (PTMC) remains challenging. This study aimed to develop and validate a nomogram integrating tumor spatial location with clinical and ultrasonographic features for predicting central lymph node metastasis (CLNM). Methods: In this retrospective study, 432 patients with surgically confirmed unifocal PTMC were enrolled. Independent predictors were identified through univariate and multivariate regression, and a nomogram was constructed and internally validated. Results: Age ≤38 years, tumor diameter >0.95 cm, microcalcifications, suspicious central/lateral lymph nodes, tumor in the isthmus, and tumor in the middle/inferior pole adjacent to the posterior capsule were independent risk factors for CLNM, while Hashimoto's thyroiditis was protective. The nomogram showed good discrimination, with AUCs of 0.772 (training) and 0.728 (validation). Calibration and decision curve analysis confirmed clinical utility. Conclusion: The spatial location-based nomogram provides an effective preoperative tool for quantifying CLNM risk, assisting in individualized surgical planning and reducing overtreatment in unifocal PTMC.

Indexed as

Carcinoma, PapillaryImage Interpretation, Computer-AssistedLymphatic MetastasisNomogramsThyroid NeoplasmsUltrasonographyAdultFemaleHumansLymph NodesMaleMiddle AgedPredictive Learning ModelsReproducibility of ResultsRetrospective StudiesRisk Assessmentcentral lymph node metastasisnomogrampapillary thyroid microcarcinomaspatial locationultrasound

Identifiers

PMID42222094
PMCPMC13215795

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.