Evidence map›Paper›PMID 35784530›Full record

ArticleFrontiers in endocrinology2022

A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma.

Zipeng Wang, Qungang Chang, Hanyin Zhang, Gongbo Du, Shuo Li, Yihao Liu, Hanlin Sun, Detao Yin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

22 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Construction and application of a nomogram model for early stage central lymph node metastasis in papillary thyroid cancer combined with Hashimoto's thyroiditis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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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

8 authors at 1 institution in 1 country.

Zipeng WangDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qungang ChangDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hanyin ZhangDepartment of Dermatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Gongbo DuDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shuo LiDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yihao LiuDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hanlin SunDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Detao YinDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thyroid carcinoma is one of the most common endocrine tumors, and papillary thyroid carcinoma (PTC) is the most common pathological type. Current studies have reported that PTC has a strong propensity for central lymph node metastases (CLNMs). Whether to prophylactically dissect the central lymph nodes in PTC remains controversial. This study aimed to explore the risk factors and develop a predictive model of CLNM in PTC. Methods: A total of 2,554 patients were enrolled in this study. The basic information, laboratory examination, characteristics of cervical ultrasound, genetic test, and pathological diagnosis were collected. The collected data were analyzed by univariate logistic analysis and multivariate logistic analysis. The risk factors were evaluated, and the predictive model was constructed of CLNM. Results: The multivariate logistic analysis showed that Age (p < 0.001), Gender (p < 0.001), Multifocality (p < 0.001), Conclusion: The predictive model of CLNM constructed and visualized based on the evaluated risk factors was confirmed to be a practical and convenient tool for clinicians to predict the CLNM in PTC.

Indexed as

Thyroid NeoplasmsHumansLymphatic MetastasisLymph NodesNeck DissectionThyroid Cancer, Papillarycentral lymph node metastasis (CLNM)nomogrampapillary thyroid carcinoma (PTC)predictive modelrisk factors

Identifiers

PMID35784530
PMCPMC9243300
OpenAlexW4282970918

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.