Evidence map›Paper›PMID 30167704›Full record

SynthesisJAMA2018

Will This Hospitalized Patient Develop Severe Alcohol Withdrawal Syndrome?: The Rational Clinical Examination Systematic Review.

Evan Wood, Loai Albarqouni, Stacey Tkachuk, Carolyn J Green, Keith Ahamad, Seonaid Nolan, Mark McLean, Jan Klimas

Erratum issued Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06555679 (Evaluation of a Predictive Score for the Onset of Moderate to Severe Alcohol Withdrawal Syndrome, the PAWSS, in a Population of Intensive Care Patients at Brest University Hospital), which is not on this map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
6.5field-weighted citation impact, top 3% 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.

NCT06555679 completednot on this mapstarted 2022, after this paper: background citation

Evaluation of a Predictive Score for the Onset of Moderate to Severe Alcohol Withdrawal Syndrome, the PAWSS, in a Population of Intensive Care Patients at Brest University Hospital

TypeobservationalSponsorUniversity Hospital, BrestRan2022 to 2023Enrolled403ConditionsAlcohol Withdrawal Syndrome
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Canadian guideline for the clinical management of high-risk drinking and alcohol use disorder.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Guideline
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Epigenetics · 2024
    Article
  14. Article
  15. Article
  16. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    Article
  17. Review
  18. The Impact of the COVID-19 Pandemic on the Severity of Alcohol Use Disorder: Significance of Dual Disorders.International journal of environmental research and public health · 2023
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Evan WoodBritish Columbia Centre on Substance Use, Vancouver, British Columbia, Canada.
Loai AlbarqouniBond University, Robina, Queensland, Australia.
Stacey TkachukFaculty of Medicine, University of British Columbia, Vancouver, Canada.
Carolyn J GreenFaculty of Medicine, University of British Columbia, Vancouver, Canada.
Keith AhamadBritish Columbia Centre on Substance Use, Vancouver, British Columbia, Canada.
Seonaid NolanBritish Columbia Centre on Substance Use, Vancouver, British Columbia, Canada.
Mark McLeanBritish Columbia Centre on Substance Use, Vancouver, British Columbia, Canada.
Jan KlimasBritish Columbia Centre on Substance Use, Vancouver, British Columbia, Canada.
University of British Columbia · CABritish Columbia Centre on Substance Use · CABond University · AU

Funding

Mentoring the next generation of addiction clinician scientists while responding to the opioid epidemicR25DA037756 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI FAIRBAIRN, NADIA · 2014 to 2023
$3.6M
CIHRNIDA NIH HHS R25 DA037756
6 · The paper itself

Abstract

Importance: Although severe alcohol withdrawal syndrome (SAWS) is associated with substantial morbidity and mortality, most at-risk patients will not develop this syndrome. Predicting its occurrence is important because the mortality rate is high when untreated. Objective: To assess the accuracy and predictive value of symptoms and signs for identifying hospitalized patients at risk of SAWS, defined as delirium tremens, withdrawal seizure, or clinically diagnosed severe withdrawal. Data Sources: MEDLINE and EMBASE (1946-January 2018) were searched for articles investigating symptoms and signs predictive of SAWS in adults. Reference lists of retrieved articles were also searched. Study Selection: Original studies that were included compared symptoms, signs, and risk assessment tools among patients who developed SAWS and patients who did not. Data Extraction and Synthesis: Data were extracted and used to calculate likelihood ratios (LRs), sensitivity, and specificity. A meta-analysis was performed to calculate summary LR. Results: Of 530 identified studies, 14 high-quality studies that included 71 295 patients and 1355 relevant cases of SAWS (1051 cases), seizure (53 cases), or delirium tremens (251 cases) were analyzed. A history of delirium tremens (LR, 2.9 [95% CI 1.7-5.2]) and baseline systolic blood pressure 140 mm Hg or higher (LR, 1.7 [95% CI, 1.3-2.3) were associated with an increased likelihood of SAWS. No single symptom or sign was associated with exclusion of SAWS. Six high-quality studies evaluated combinations of clinical findings and were useful for identifying patients in acute care facilities at high risk of developing SAWS. Of these combinations, the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) was most useful, with an LR of 174 (95% CI, 43-696; specificity, 0.93) when patients had 4 or more individual findings and an LR of 0.07 (95% CI, 0.02-0.26; sensitivity, 0.99) when there were 3 or fewer findings. Conclusions and Relevance: Assessment tools that use a combination of symptoms and signs are useful for identifying patients at risk of developing severe alcohol withdrawal syndrome. Most studies of these tools were not fully validated, limiting their generalizability.

Indexed as

AlcoholismEthanolFemaleHumansIncidenceLikelihood FunctionsMaleRisk AssessmentRisk FactorsSensitivity and SpecificitySeverity of Illness IndexSubstance Withdrawal SyndromeEthanol

Identifiers

PMID30167704
PMCPMC6905615
OpenAlexW2889219145

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.