Evidence map›Paper›PMID 39846568›Full record

ReviewEpigenomes2024

Two Clinically Implementable Digital PCR Assessments of DNA Methylation for Diagnosing Heavy Alcohol Consumption.

Robert Philibert, Steven R H Beach, Allan M Andersen

Abstract readReview
In one paragraph

Review in Epigenomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Robert PhilibertDepartment of Psychiatry, University of Iowa, Iowa City, IA 52246, USA.ORCID 0000-0001-7822-4977
Steven R H BeachDepartment of Psychology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-8053-7761
Allan M AndersenDepartment of Psychiatry, University of Iowa, Iowa City, IA 52246, USA.ORCID 0000-0001-7006-7639

Funding

Predicting Alcohol Withdrawal using DNA MethylationR21AA029435 · NIAAA · UNIVERSITY OF IOWA · PI ANDERSEN, ALLAN M, PHILIBERT, ROBERT A · 2022 to 2023
$406k
NIAAA NIH HHS R21 AA029435NIH HHS R21AA029435
6 · The paper itself

Abstract

backgroundHeavy alcohol consumption (HAC) has a profound adverse effect on human health. Unfortunately, there is a relative lack of tools that are easily implementable in clinical settings and that can be used to supplement self-reporting in the diagnosis and management of HAC. In part, this paucity is due to limitations of currently available biological measures and a mismatch between available biological measures and the needs of clinicians managing HAC.

objectivesWe first review the pros and cons of existing biological measures. Next, we review the underlying theory and the performance characteristics of two recently developed methylation-sensitive digital PCR (MSdPCR) assays, referred to as the Alcohol T Score (ATS) and ZSCAN25, for the assessment of chronic and recent HAC, respectively. Finally, we outline a paradigm for improving the clinical diagnosis and management of alcohol use disorders by utilizing these new markers of alcohol consumption.

conclusionsWe conclude that further studies to understand the test performance characteristics of each of these epigenetic tools in larger, diverse populations are in order.

Indexed as

alcoholalcohol dependencedigital PCRDNA methylationin vitro diagnosticsseizures

Identifiers

PMID39846568
PMCPMC11755464

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Registered trials

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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 OpenQuestion graph.