SynthesisAddiction (Abingdon, England)2025
Systematic review of symptom-level networks of alcohol use disorder.
Synthesis in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of symptom-level networks of alcohol use disorder.Addiction (Abingdon, England) · 2025Pooled it
- Quality of life in older adults with urinary incontinence and its impact on the stigma-care needs network: latent profile and network analysis.BMC geriatrics · 2026Article
- Network analysis of Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) 3.1 items for non-medical use of alcohol, tobacco, cannabis, prescription sedatives, prescription stimulants, and prescription opioids.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
BACKGROUND AND
aimsNetwork analysis is being used increasingly to study disorders such as alcohol use disorder (AUD) at the level of interacting symptoms. However, it remains unclear what insights AUD symptom networks have brought so far. Therefore, this pre-registered systematic review, following PRISMA reporting guidelines, aimed to collate and critically assess the literature on published AUD symptom networks.
methods1608 unique articles were collected from PsycINFO, Medline, Embase and Web of Science between January 2010 and May 2023. A total of six articles were included in the review, comprising seven unique cross-sectional networks. The general characteristics of the symptom networks are summarized (i.e. edge inclusion, whether the connection between nodes is present or absent; and node centrality, the importance of a node within an estimated network) and compared between population versus clinical samples.
resultsThe networks included many edges, with densities ranging from 60% to 100% (mean and mode of 80%, standard deviation of 28%). The edge connecting Tolerance and Time Spent consuming alcohol was most consistently present across samples, while edges connecting to Physical/Psychological Problems were consistently connected only in population samples. Consuming Larger/Longer than intended, and Physical/Psychological Problems had highest strength centrality, while failure to Cut Down and Hazardous Use were consistently lowest.
conclusionsAlcohol use disorder symptom networks tend to be densely interconnected and characterized by a high proportion of included edges (dependencies between variables). Some edges are more consistently found in population samples than in clinical samples and vice versa.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.