Evidence map›Paper›PMID 17652671›Full record

ArticleEmergency medicine journal : EMJ2007

Use of blood alcohol concentration in resuscitation room patients.

Emese Csipke, Robin Touquet, Tim Patel, James Franklin, Adrian Brown, Paul Holloway, Nicola Batrick, Michael J Crawford

Open access · bronzeAbstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 4 institutions in 2 countries.

Emese CsipkeAccident and Emergency Department, St Mary's Hospital, Praed Street, London, UK.
Robin Touquet
Tim Patel
James Franklin
Adrian Brown
Paul Holloway
Nicola Batrick
Michael J Crawford
Imperial College London · GBSt. Mary's Hospital · GBSt Mary's Hospital · GBSt Mary's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo clarify the use of blood alcohol concentration (BAC) in the emergency department resuscitation room, by comparing it with a subsequent alcohol questionnaire and by surveying patients' attitudes to BAC testing.

designObservational study.

participants273 resuscitation room patients at St Mary's Hospital, Paddington between August 2005 and February 2006.

main outcome measuresBAC comparison to questionnaire results, and attitudes to BAC testing.

resultsThe level of agreement between positive screening by questionnaire and a BAC of >80 mg/100 ml was low (kappa = 0.29, 95% confidence interval 0.12 to 0.46) because each test measures different aspects of drinking. Patients accepted the use of BAC tests in detecting alcohol use, though a small minority reported concerns over confidentiality.

conclusionUse of BAC testing complements later questionnaire screening to identify alcohol misuse in patients initially brought to the emergency department resuscitation room, providing results are fed back to the patient. Potential ethical, judicial and insurance concerns should not prevent the use of BAC when judged to be in the patient's best interest.

Indexed as

Alcohol DrinkingAlcohol-Related DisordersAttitude to HealthEmergency Service, HospitalEthanolFemaleHealth Care SurveysHumansLondonMaleMass ScreeningMiddle AgedResuscitationSurveys and QuestionnairesEthanol

Identifiers

PMID17652671
PMCPMC2660072
OpenAlexW2063703798

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.