Neurobiology and Symptomatology of Post-Acute Alcohol Withdrawal: A Mixed-Studies Systematic Review
Bibliographic record
Abstract
OBJECTIVE: This study aims to review the neurobiology and symptomatology of post-acute alcohol withdrawal syndrome (PAWS). METHOD: We conducted a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)-guided systematic review of articles from two databases for English-language randomized and nonrandomized studies involving PAWS published between database inception and December 2020. RESULTS: Twenty-seven studies met inclusion criteria. PAWS involves predominantly negative affect, which develops in early abstinence and can persist for 4-6 months or longer. Symptoms include anxiety, dysphoria, anhedonia, sleep disturbance, cognitive impairment, cravings, and irritability. PAWS symptoms appear to be risk factors for recurrent alcohol consumption. They have been associated with reported neurobiological differences in evoked potentials; measures of orexins, cortisol, serotonin, and pancreatic polypeptides; and neuroadaptation changes in the nucleus accumbens and the prefrontal cortex. CONCLUSIONS: There is credible evidence to support the concept of PAWS based on this review's findings. There remains a need to develop and test specific criteria for PAWS. High-quality treatment studies involving agents addressing its neurobiological underpinnings are also recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.012 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".