Evidence map›Paper›PMID 37671970›Full record

ArticleAging2023

Uncovering the pathogenesis of obesity complicated with papillary thyroid carcinoma via bioinformatics and experimental validation.

Kaisheng Yuan, Di Hu, Xiaocong Mo, Ruiqi Zeng, Bing Wu, Zunhao Zhang, Ruixiang Hu, Cunchuan Wang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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 4 institutions in 2 countries.

Kaisheng YuanDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China.
Di HuDepartment of Neurology and Stroke Centre, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, Guangdong, China.
Xiaocong MoDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, Guangdong, China.
Ruiqi ZengDepartment of Urology Surgery, The Second People’s Hospital of Yibin City, Yibin 644002, Sichuan, China.
Bing WuDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China.
Zunhao ZhangDepartment of Pathology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, Guangdong, China.
Ruixiang HuDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China.
Cunchuan WangDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China.
First Affiliated Hospital of Jinan University · CNUniversity of Hong Kong · HKJinan University · CNSecond People’s Hospital of Yibin · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the common molecular mechanism between obesity and papillary thyroid cancer (PTC), the most common pathological type of thyroid cancer. In this study, we obtained gene expression datasets for obesity (GSE151839) and PTC (GSE33630) from the Gene Expression Omnibus (GEO). We used the Perl program and R software to identify differentially expressed genes (DEGs) and common genes, perform GO function and KEGG pathway enrichment analysis, construct a protein-protein interaction (PPI) network, identify hub genes, and perform transcription factors (TFs) analysis. After undergoing validation in external datasets and

Indexed as

Thyroid NeoplasmsClinical RelevanceComputational BiologyHumansObesityThyroid Cancer, Papillarybioinformaticsdifferentially expressed geneshub genesobesitypapillary thyroid carcinoma

Identifiers

PMID37671970
PMCPMC10522395
OpenAlexW4386443656

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.