Evidence map›Paper›PMID 38369523›Full record

ArticleThyroid research2024

Ultrasound radiomics signature for predicting central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma.

Jie Liu, Jingchao Yu, Yanan Wei, Wei Li, Jinle Lu, Yating Chen, Meng Wang

Abstract read
In one paragraph

Article in Thyroid research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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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

7 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Jie LiuDepartment of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China. lj13803233909@163.com.
Jingchao YuDepartment of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China.
Yanan WeiDepartment of TCM Internal Medicine, Cangzhou Hospital of Integrated TCM-WM·Hebei, 061000, Cangzhou, China.
Wei LiDepartment of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China.
Jinle LuDepartment of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China.
Yating ChenDepartment of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China.
Meng WangDepartment of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether prophylactic central lymph node dissection is necessary for patients with clinically node-negative (cN0) papillary thyroid microcarcinoma (PTMC) remains controversial. Herein, we aimed to establish an ultrasound (US) radiomics (Rad) score for assessing the probability of central lymph node metastasis (CLNM) in such patients.

methods480 patients (327 in the training cohort, 153 in the validation cohort) who underwent thyroid surgery for cN0 PTMC at two institutions between January 2018 and December 2020 were included. Radiomics features were extracted from the US images. Least absolute shrinkage and selection operator logistic regression were utilized to generate a Rad score. A nomogram consisting of the Rad score and clinical factors was then constructed for the training cohort. Both cohorts assessed model performance using discrimination, calibration, and clinical usefulness.

resultsBased on the six most valuable radiomics features, the Rad score was calculated for each patient. A multivariate analysis revealed that a higher Rad score (P < 0.001), younger age (P = 0.006), and presence of capsule invasion (P = 0.030) were independently associated with CLNM. A nomogram integrating these three factors demonstrated good calibration and promising clinical utility in the training and validation cohorts. The nomogram yielded areas under the curve of 0.795 (95% confidence interval [CI], 0.745-0.846) and 0.774 (95% CI, 0.696-0.852) in the training and validation cohorts, respectively.

conclusionsThe radiomics nomogram may be a clinically useful tool for the individual prediction of CLNM in patients with cN0 PTMC.

Indexed as

Central lymph node metastasisMachine learningNomogramPapillary thyroid microcarcinomaRadiomics

Identifiers

PMID38369523
PMCPMC10875890

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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.