Evidence map›Paper›PMID 28360074›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2017

Predicting the onset of hazardous alcohol drinking in primary care: development and validation of a simple risk algorithm.

Juan Ángel Bellón, Juan de Dios Luna, Michael King, Irwin Nazareth, Emma Motrico, María Josefa GildeGómez-Barragán, Francisco Torres-González, Carmen Montón-Franco, Marta Sánchez-Celaya, Miguel Ángel Díaz-Barreiros and 2 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. No laughing matter.The British journal of general practice : the journal of the Royal College of General Practitioners · 2017
    Article
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

12 authors.

Juan Ángel BellónInstituto de Investigación Biomédica de Málaga (IBIMA), associate professor, Departamento de Medicina Preventiva y Psiquiatría, Universidad de Málaga, Málaga, Spain.
Juan de Dios LunaDepartamento de Bioestadística.
Michael KingDivision of Psychiatry, Faculty of Brain Sciences.
Irwin NazarethDepartment of Primary Care and Population Health, University College London, London, UK.
Emma MotricoDepartamento de Psicología, Universidad Loyola Andalucía, Sevilla, Spain.
María Josefa GildeGómez-BarragánUnidad Docente de Medicina Familiar y Comunitaria de La Rioja, La Rioja, Spain.
Francisco Torres-GonzálezCentro de Investigación Biomédica en Red de Salud Mental, Universidad de Granada, Granada, Spain.
Carmen Montón-FrancoDepartamento de Medicina y Psiquiatría, Universidad de Zaragoza, Zaragoza, Spain.
Marta Sánchez-CelayaContinuidad Asistencial del Hospital Universitario Infanta Sofía, Madrid, Spain.
Miguel Ángel Díaz-BarreirosCentro de Salud Vecindario, Servicio Canario de Salud, Las Palmas, Spain.
Catalina VicensCentro de Salud son Serra-La Vileta, Instituto Balear de la Salud, Palma de Mallorca, Illes Balears, Spain.
Patricia Moreno-PeralInstituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about the risk of progressing to hazardous alcohol use in abstinent or low-risk drinkers.

aimTo develop and validate a simple brief risk algorithm for the onset of hazardous alcohol drinking (HAD) over 12 months for use in primary care. DESIGN AND

settingProspective cohort study in 32 health centres from six Spanish provinces, with evaluations at baseline, 6 months, and 12 months.

methodForty-one risk factors were measured and multilevel logistic regression and inverse probability weighting were used to build the risk algorithm. The outcome was new occurrence of HAD during the study, as measured by the AUDIT.

resultsFrom the lists of 174 GPs, 3954 adult abstinent or low-risk drinkers were recruited. The 'predictAL-10' risk algorithm included just nine variables (10 questions): province, sex, age, cigarette consumption, perception of financial strain, having ever received treatment for an alcohol problem, childhood sexual abuse, AUDIT-C, and interaction AUDIT-C*Age. The c-index was 0.886 (95% CI = 0.854 to 0.918). The optimal cutoff had a sensitivity of 0.83 and specificity of 0.80. Excluding childhood sexual abuse from the model (the 'predictAL-9'), the c-index was 0.880 (95% CI = 0.847 to 0.913), sensitivity 0.79, and specificity 0.81. There was no statistically significant difference between the c-indexes of predictAL-10 and predictAL-9.

conclusionThe predictAL-10/9 is a simple and internally valid risk algorithm to predict the onset of hazardous alcohol drinking over 12 months in primary care attendees; it is a brief tool that is potentially useful for primary prevention of hazardous alcohol drinking.

Indexed as

AlgorithmsAlcohol DrinkingAlcoholismDangerous BehaviorHumansPrimary Health CarePrognosisProspective StudiesRisk AssessmentRisk FactorsSpainalcohol consumptionclinical prediction ruleprimary health care

Identifiers

PMID28360074
PMCPMC5565836

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.