Evidence map›Paper›PMID 40344682›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2025

Predictors of 30-day readmission among those treated with alcohol withdrawal in acute hospitals in England.

Thomas Phillips, Rachel Coleman, Simon Coulton

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2025. 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
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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

3 authors.

Thomas PhillipsCentre for Addiction and Mental Health Research (CAMHR), University of Hull, East Yorkshire, Cottingham Road, Hull HU6 7RX, United Kingdom.
Rachel ColemanCentre for Addiction and Mental Health Research (CAMHR), University of Hull, East Yorkshire, Cottingham Road, Hull HU6 7RX, United Kingdom.
Simon CoultonCentre for Addiction and Mental Health Research (CAMHR), University of Hull, East Yorkshire, Cottingham Road, Hull HU6 7RX, United Kingdom.

Funding

University of Hull
6 · The paper itself

Abstract

aimsTo examine predictors of 30-day readmissions to acute hospitals in England for patients treated for alcohol withdrawal (AW).

methodsRetrospective cross-sectional analysis of routine hospital administrative data (i.e. Hospital Episode Statistics-Admitted Patient Care records) for adults admitted to non-specialist hospitals in England 2017-18.

resultsAW admissions were associated with digestive, circulatory, respiratory, and endocrine disorders and were of short duration (median 3 days). Of the 19 588 completed AW admissions examined in 2017-18, 3957 (20.2%) resulted in readmission within 30 days. The strongest predictors of 30-day readmission were being no fixed abode (Adjusted Odds Ratio (AOR) 1.81, 95%CI 1.44-2.26), prior discharge against medical advice (AOR 1.57, 95%CI 1.40-1.77), and greater Charlson comorbidity index total score (AOR 1.02, 95%CI 1.02-1.03). DISCUSSION: AW 30-day admissions are common and associated to complex case presentations that require high levels of community support on discharge. Hospital-based alcohol teams should prioritize strategies, which maximize medically managed AW, effective transitions to specialist community care including outreach teams and strong collaborations with physical and mental health outpatient services. Together with specialist initiatives within community mental health teams, assertive outreach, and homeless services 30-day readmissions may be minimized.

Indexed as

AlcoholismPatient ReadmissionSubstance Withdrawal SyndromeAdultAgedCross-Sectional StudiesEnglandFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adultacute hospitalsalcohol dependencealcohol withdrawalreadmission

Identifiers

PMID40344682
PMCPMC12063994

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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.