Evidence map›Paper›PMID 40979720›Full record

ArticleFrontiers in endocrinology2025

The relationship between remnant cholesterol and WHO grade of pancreatic neuroendocrine neoplasms.

Hao Zhou, Yu Wang, Yongkang Liu, Chuangen Guo, Jianhua Wang, Xiao Chen

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hao Zhou *Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yu Wang *Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yongkang LiuDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Chuangen GuoDepartment of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, Haznghozu, China.
Jianhua WangDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xiao ChenDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cholesterol plays a role in tumorigenesis. However, the association between remnant cholesterol and pancreatic neuroendocrine neoplasms (PNENs) has not been clarified. In the present study, we explored the association between the remnant cholesterol level and the World Organization Health Grade of PNENs. Methods: The clinical and histopathological characteristics of PNEN patients who underwent surgery at our institution were retrospectively analyzed. Remnant cholesterol was calculated as total cholesterol - high-density lipoprotein cholesterol+low-density lipoprotein cholesterol. The remnant cholesterol/cholesterol ratio was also calculated. Grade 3 PNENs and pancreatic neuroendocrine carcinoma (PNEC) were defined as high-grade PNENs. The relationship between remnant cholesterol or the remnant cholesterol/cholesterol ratio and PNENs was analyzed using multivariable logistic regression analysis. Results: Patients with high-grade PNENs had higher remnant cholesterol levels and remnant cholesterol/cholesterol ratios than did those with low- and moderate-grade PNENs ( Conclusions: A high remnant cholesterol level and a high remnant cholesterol/cholesterol ratio were associated with high-grade PNENs or PNECs.

Indexed as

CholesterolNeuroendocrine TumorsPancreatic NeoplasmsTriglyceridesAdultAgedFemaleHumansLipoproteinsMaleMiddle AgedNeoplasm GradingRetrospective StudiesWorld Health OrganizationCholesterolLipoproteinsremnant-like particle cholesterolTriglyceridescholesterollipidspancreatic neuroendocrine tumorremnant cholesteroltumor grade

Identifiers

PMID40979720
PMCPMC12443567

What Socratic holds

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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 Socratic graph.