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Record W1525880697

Le traitement du syndrome de sevrage de l’alcool

2007· article· fr· W1525880697 on OpenAlexaff
Catherine Paré, Julie Fortier

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldMedicine
TopicAlcoholism and Thiamine Deficiency
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsMedicineGynecology
DOInot available

Abstract

fetched live from OpenAlex

Resume Objectif : Presenter le syndrome de sevrage de l’alcool, la gravite des symptomes et connaitre les differents traitements pharmacologiques. Sources des donnees : Une revue de la litterature de 1994 a 2006 a ete effectuee par la consultation de references primaires a partir de PubMed avec les mots cles suivants : sevrage de l’alcool, echelle de gravite, traitement pharmacologique, prevention, traitement adjuvant, benzodiazepines, anticonvulsivants, thiamine. Des references secondaires et tertiaires ont egalement ete consultees afin de completer la recherche. Analyses des donnees : Les traitements pharmacologiques comprennent : la thiamine, les benzodiazepines, les anticonvulsivants et les traitements adjuvants (les barbituriques, les agonistes alpha-2 centraux, les neuroleptiques et les beta-bloquants). Ces traitements peuvent etre administres selon un horaire fixe ou selon les symptomes. Des traitements pour prevenir les episodes recurrents de sevrage de l’alcool sont egalement disponibles. Quelques etudes portent sur de nouvelles options therapeutiques, tels le topiramate et le baclofene. Conclusion : Une bonne connaissance des agents pharmacologiques pouvant etre utilises dans la prevention et le traitement du syndrome de sevrage de l’alcool permet de diminuer la gravite des symptomes et d’eviter les recurrences. Les choix de traitement doivent se faire selon les caracteristiques des patients, des symptomes et des medicaments disponibles. Abstract Objective: To discuss the alcohol withdrawal syndrome, the severity of symptoms and to know the different pharmacological treatments. Data source: A literature review for the period of 1994 to 2006 was done by consulting primary references obtained through PubMed, using the following key words: alcohol withdrawal, severity scale, pharmacological treatment, prevention, adjuvant treatment, benzodiazepines, anticonvulsants, thiamine. Secondary and tertiary references were also used to complete the literature review. Data analysis: Different pharmacological options include: thiamine, benzodiazepines, anticonvulsants and various adjuvant treatments (barbiturates, central alpha-2 agonists, neuroleptics and beta-blockers). These drugs can be administered on a fixed dosage regimen or according to symptoms. Treatment to prevent recurrent episodes of alcohol withdrawal is also available. A few studies have described new therapeutic options such as topiramate and baclofen. Conclusion: Prevention of withdrawal and the severity of symptoms associated with alcohol withdrawal syndrome can be diminished by detailed knowledge of available pharmacological agents. Patient characteristics, symptoms and available drugs must guide the choice of treatment. Key Words: alcohol withdrawal, severity scale, treatment, prevention, benzodiazepine, anticonvulsant, thiamine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.013
GPT teacher head0.268
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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