Evidence map›Paper›PMID 37109305›Full record

ArticleJournal of clinical medicine2023

Ovarian Cancer and Parkinson's Disease: A Bidirectional Mendelian Randomization Study.

Jian-Zeng Guo, Qian Xiao, Lang Wu, Fa Chen, Jia-Li Yin, Xue Qin, Ting-Ting Gong, Qi-Jun Wu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Comprehensive bioinformatics analysis of co-mutation ofTranslational cancer research · 2025
    Article
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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

8 authors at 3 institutions in 2 countries.

Jian-Zeng GuoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Qian XiaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
Fa ChenFujian Provincial Key Laboratory of Environment Factors and Cancer, Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
Jia-Li YinDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Xue QinDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Ting-Ting GongDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Qi-Jun WuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID 0000-0001-9421-5114
China Medical University · CNFujian Medical University · CNUniversity of Hawaiʻi at Mānoa · US

Funding

LiaoNing Revitalization Talents Program XLYC1907102National Natural Science Foundation of China 82073647National Natural Science Foundation of China 82103914
6 · The paper itself

Abstract

(1) Background: Ovarian cancer (OC) and Parkinson's disease (PD) represent a huge public health burden. The relationship of these two diseases is suggested in the literature while not fully understood. To better understand this relationship, we conducted a bidirectional Mendelian ran-domization analysis using genetic markers as a proxy. (2) Methods: Utilizing single nucleotide polymorphisms associated with PD risk, we assessed the association between genetically predicted PD and OC risk, overall and by histotypes, using summary statistics from previously conducted genome-wide association studies of OC within the Ovarian Cancer Association Consortium. Similarly, we assessed the association between genetically predicted OC and PD risk. The inverse variance weighted method was used as the main method to estimate odds ratios (OR) and 95% confidence intervals (CI) for the associations of interest. (3) Results: There was no significant association between genetically predicted PD and OC risk: OR = 0.95 (95% CI: 0.88-1.03), or between genetically predicted OC and PD risk: OR = 0.80 (95% CI: 0.61-1.06). On the other hand, when examined by histotypes, a suggestive inverse association was observed between genetically predicted high grade serous OC and PD risk: OR = 0.91 (95% CI: 0.84-0.99). (4) Conclusions: Overall, our study did not observe a strong genetic association between PD and OC, but the observed potential association between high grade serous OC and reduced PD risk warrants further investigation.

Indexed as

genetic associationhistotypemendelian randomizationovarian cancerParkinson’s disease

Identifiers

PMID37109305
PMCPMC10146810
OpenAlexW4366593774

What OpenQuestion holds

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LicenceCC BY
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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.