Evidence map›Paper›PMID 32297305›Full record

ReviewMolecular diagnosis & therapy2020

Deciphering the DNA Methylome of Polycystic Ovary Syndrome.

Qihua Tan

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Qihua TanEpidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark. qtan@health.sdu.dk.ORCID 0000-0003-3194-0030
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a hormonal disorder common among women of reproductive age. PCOS is characterized by ovarian dysfunction and metabolic abnormalities with widely varying clinical manifestations brought about by intricate mechanisms of interplay between the genome and the environment. The popularity of epigenome-wide association studies (EWASs) is helping to facilitate the discovery of environment-mediated molecular modification in PCOS from disease etiology to epigenetic marker discovery. Current epigenetic studies have provided convincing observational evidence linking epigenetic regulation with PCOS origin, manifestation, clinical heterogeneity and comorbidity, which could lead to improved management of the disease through efficient intervention and prevention strategies. Several biological pathways have been consistently reported by independent studies, revealing functional regulation due to endocrine abnormalities and metabolic dysfunction in PCOS, while also suggesting an autoimmune component in the condition. The use of high-throughput sequencing technologies for analysing the epigenome integrated with causal inferences is expected to facilitate effective and efficient PCOS management to promote reproductive health.

Indexed as

Disease SusceptibilityDNA MethylationEpigenomeEpigenomicsBiomarkersComorbidityDisease ManagementEpigenesis, GeneticFemaleHumansMolecular Diagnostic TechniquesPolycystic Ovary SyndromeBiomarkers

Identifiers

PMID32297305
OpenAlexW3016524771

What OpenQuestion holds

Textmetadata
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.