Evidence map›Paper›PMID 38899007›Full record

ArticleFrontiers in endocrinology2024

Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis.

Li Han, Shuling Xu, Dongqi Zhou, Rumeng Chen, Yining Ding, Mengling Zhang, Meihua Bao, Binsheng He, Sen Li

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  9. Current Research in Drug-Free Cancer Therapies.Bioengineering (Basel, Switzerland) · 2025
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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

9 authors.

Li Han *Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Functional Nucleic Acid, Changsha Medical University, Changsha, China.
Shuling Xu *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Dongqi Zhou *Department of Traditional Chinese Medicine, Sichuan Taikang Hospital, Chengdu, Sichuan, China.
Rumeng ChenSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Yining DingSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Mengling ZhangSchool of Stomatology, Changsha Medical University, Changsha, China.
Meihua BaoHunan Key Laboratory of The Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China.
Binsheng HeThe Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China.
Sen LiSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic abnormalities are closely tied to the development of ovarian cancer (OC), yet the relationship between anthropometric indicators as risk indicators for metabolic abnormalities and OC lacks consistency. Method: The Mendelian randomization (MR) approach is a widely used methodology for determining causal relationships. Our study employed summary statistics from the genome-wide association studies (GWAS), and we used inverse variance weighting (IVW) together with MR-Egger and weighted median (WM) supplementary analyses to assess causal relationships between exposure and outcome. Furthermore, additional sensitivity studies, such as leave-one-out analyses and MR-PRESSO were used to assess the stability of the associations. Result: The IVW findings demonstrated a causal associations between 10 metabolic factors and an increased risk of OC. Including "Basal metabolic rate" (OR= 1.24, Conclusion: Several metabolic markers linked to altered fat accumulation and distribution are significantly associated with an increased risk of OC.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisOvarian NeoplasmsFemaleHumansPolymorphism, Single NucleotideRisk Factorscausal associationMendelian randomizationmetabolic factorsovarian cancerrisk factors

Identifiers

PMID38899007
PMCPMC11185996

What Socratic 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 Socratic graph.