Evidence map›Paper›PMID 20143122›Full record

ArticleInternational journal of public health2010

Severity of unhealthy alcohol consumption in medical inpatients and the general population: is the general hospital a suitable place for brief interventions?

Gallus Bischof, Susa Reinhardt, Jennis Freyer-Adam, Beate Coder, Janina M Grothues, Christian Meyer, Ulrich John, Hans-Jürgen Rumpf

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Gallus BischofDepartment of Psychiatry and Psychotherapy, Research Group Substance Abuse: Treatment, Epidemiology and Prevention, University of Luebeck, Ratzeburger Allee 160, 23538, Lübeck, Germany. gallus.bischof@psychiatrie.uk-sh.de
Susa Reinhardt
Jennis Freyer-Adam
Beate Coder
Janina M Grothues
Christian Meyer
Ulrich John
Hans-Jürgen Rumpf
Universität Greifswald · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEvidence for brief interventions in general hospital (GH) settings is scarce, probably due to higher rates of dependent drinkers. The present study aims to compare unhealthy drinking patterns in GH patients with the general population (GP).

methodsSample 1 consisted of 4,075 individuals randomly drawn from registration office files, representing the non-institutionalised GP of a northern mixed rural-urban German area. Sample 2 consisted of 2,949 consecutively admitted patients from a GH covering the same area.

resultsCompared to individuals from the GP, GH patients revealed higher prevalence rates of alcohol dependence (1.3 vs. 5.5%) and alcohol abuse (1.2 vs. 2.8%), but did not differ significantly concerning at-risk drinking (5.1 vs. 6.2%). Multinomial logistic regression analysis controlling for age, sex and smoking using unrisky alcohol consumption as reference category belonging to the GH group was predictive for alcohol use disorders but not for at-risk drinking.

conclusionData show that a substantial number of individuals with unhealthy drinking patterns without alcohol use disorders can easily be accessed in GH settings if appropriate screening measures are conducted.

Indexed as

InpatientsAdolescentAdultAlcohol DrinkingFemaleGermanyHospitals, GeneralHumansMaleMass ScreeningMiddle AgedRegistriesYoung Adult

Identifiers

PMID20143122
OpenAlexW1570241456

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.