Evidence map›Paper›PMID 40574734›Full record

ArticlePeerJ2025

Association between serum lipid and papillary thyroid cancer: a retrospective study in China.

Zike Zhang, Xingyu Lan, Long You, Dongsheng Han, Hui Tang, Ying Zhao, Xiao Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2025. 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.

Zike Zhang *Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xingyu Lan *The First Division Hospital of Xinjiang Production and Construction Group in China, Akesu, Xinjiang, China.
Long YouDepartment of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Dongsheng HanDepartment of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Hui TangDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-3318-6281
Ying ZhaoDepartment of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiao HuDepartment of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of papillary thyroid cancer (PTC) has increased drastically in recent decades. Various studies have reported a concurrent rise in PTC morbidity in the obese, implying a possible role of lipids in the pathogenesis of PTC. However, the role of serum lipids in the pathogenesis of PTC requires further investigation. This study aimed to investigate the correlation between serum lipid levels and PTC. From January 1, 2019, to December 31, 2020, 1,650 PTC and 882 control samples were enrolled for this study. PTC subjects were more likely to have higher body mass index (BMI), fasting blood glucose (FBG) levels, triglyceride (TG) levels, and decreased high-density lipoprotein cholesterol (HDL-C) when compared to controls (

Indexed as

LipidsThyroid Cancer, PapillaryThyroid NeoplasmsAdultAgedBlood GlucoseBody Mass IndexCase-Control StudiesChinaCholesterol, HDLFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBlood GlucoseCholesterol, HDLLipidsTriglyceridesLymph node metastasisPapillary thyroid cancerSerum lipidTumor size

Identifiers

PMID40574734
PMCPMC12199739

What OpenQuestion holds

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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.