Evidence map›Paper›PMID 26443659›Full record

Trial reportBMJ open2015

Assessing the feasibility of screening and providing brief advice for alcohol misuse in general dental practice: a clustered randomised control trial protocol for the DART study.

Antiopi Ntouva, Jessie Porter, Mike J Crawford, Annie Britton, Christine Gratus, Tim Newton, Georgios Tsakos, Anja Heilmann, Hynek Pikhart, Richard G Watt

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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.

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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Bridging the Gap: Implementation and Uptake of AUDIT-C Alcohol Screening for Inpatient Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    Article
  2. 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

10 authors at 4 institutions in 2 countries.

Antiopi NtouvaUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
Jessie PorterUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
Mike J CrawfordFaculty of Medicine, Department of Medicine, Imperial College London, London, UK.
Annie BrittonUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
Christine Gratus
Tim NewtonDivision of Health and Social Care Research, King's College London, Dental Institute, London, UK.
Georgios TsakosUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
Anja HeilmannUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
Hynek PikhartUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
Richard G WattUCL Research Department of Epidemiology and Public Health, University College London, London, UK.
University College London · GBUCL Australia · AUImperial College London · GBKing's College London · GB

Funding

Department of Health PB-PG-0212-27029Department of Health PB-PG-1207-14085
6 · The paper itself

Abstract

introductionAlcohol misuse is a significant public health problem with major health, social and economic consequences. Systematic reviews have reported that brief advice interventions delivered in various health service settings can reduce harmful drinking. Although the links between alcohol and oral health are well established and dentists come into contact with large numbers of otherwise healthy patients regularly, no studies have been conducted in the UK to test the feasibility of delivering brief advice about alcohol in general dental settings. METHODS AND ANALYSIS: The Dental Alcohol Reduction Trial (DART) aims to assess the feasibility and acceptability of screening for alcohol misuse and delivering brief advice in patients attending National Health Service (NHS) general dental practices in North London. DART is a cluster randomised control feasibility trial and uses a mixed methods approach throughout the development, design, delivery and evaluation of the intervention. It will be conducted in 12 NHS general dental practices across North London and will include dental patients who drink above the recommended guidance, as measured by the Alcohol Use Disorders Identification Test (AUDIT-C) screening tool. The intervention involves 5 min of tailored brief advice delivered by dental practitioners during the patient's appointment. Feasibility and acceptability measures as well as suitability of proposed primary outcomes of alcohol consumption will be assessed. Initial economic evaluation will be undertaken. Recruitment and retention rates as well as acceptability of the study procedures from screening to follow-up will be measured. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Camden and Islington Research Ethics Committee. Study outputs will be disseminated via scientific publications, newsletters, reports and conference presentations to a range of professional and patient groups and stakeholders. Based on the results of the trial, recommendations will be made on the conduct of a definitive randomised controlled trial. TRIAL REGISTRATION NUMBER: ISRCTN81193263.

Indexed as

DentistryAlcohol DrinkingCluster AnalysisCounselingFeasibility StudiesHumansIncidenceLondonMass ScreeningPatient Education as TopicORAL MEDICINEPRIMARY CAREPUBLIC HEALTH

Identifiers

PMID26443659
PMCPMC4606386
OpenAlexW1821512209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.