Evidence map›Paper›PMID 31814785›Full record

ArticleRisk management and healthcare policy2019

Large-Scale Comparative Analysis Reveals A Simple Model To Predict The Prevalence Of Thyroid Nodules.

Genpeng Li, Lijuan Wang, Jianyong Lei, Linlin Song, Huairong Tang, Zhihui Li, Rixiang Gong, Jingqiang Zhu

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2019. 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
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

8 authors at 1 institution in 1 country.

Genpeng Li *Thyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Lijuan Wang *Thyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Jianyong LeiThyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Linlin SongThyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Huairong TangHealth and Management Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.ORCID 0000-0001-7449-8188
Zhihui LiThyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Rixiang GongThyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Jingqiang ZhuThyroid and Parathyroid Surgery Center, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe frequency of thyroid nodules (TNs) has increased rapidly in recent decades. We established a simple, effective model to predict TN occurrence by a large-scale comparative analysis of the Chinese population. SUBJECTS AND

methodsA total of 13,307 subjects were included to screen risk factors between the case group (TN+) and the control group (TN-) by univariate and multivariate analyses. A simple prediction model formed by a subset of five factors was established. The optimal index points for predicting the prevalence of TNs, the model discriminatory power and the association of the model with the size of TNs were assessed.

resultsAge at diagnosis ≥45 years, female sex, body mass index (BMI) ≥24 kg/m

conclusionBased on our prediction model, thyroid high-resolution ultrasound and associated laboratory tests may be necessary for patients with index points ≥4 due to a higher prevalence of thyroid nodules.

Indexed as

large-scaleprediction modelrisk factorsthyroid nodules

Identifiers

PMID31814785
PMCPMC6861839
OpenAlexW2984895306

What OpenQuestion holds

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LicenceCC BY-NC
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.