Evidence map›Paper›PMID 20148775›Full record

ReviewAddiction biology2010

Ethanol consumption: how should we measure it? Achieving consilience between human and animal phenotypes.

Robert F Leeman, Markus Heilig, Christopher L Cunningham, David N Stephens, Theodora Duka, Stephanie S O'Malley

Abstract readReview
In one paragraph

Review in Addiction biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
–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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Faster self-paced rate of drinking for alcohol mixed with energy drinks versus alcohol alone.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2017
    Trial
  3. Event-level associations between objective and subjective alcohol intoxication and driving after drinking across the college years.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2012
    Trial
  4. Article
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  17. High-intensity drinking and hours spent drinking.Alcohol, clinical & experimental research · 2023
    Article
  18. Article
  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

6 authors.

Robert F LeemanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA.
Markus Heilig
Christopher L Cunningham
David N Stephens
Theodora Duka
Stephanie S O'Malley

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Alicia Yue Che · 2001 to 2026
$43.7M
Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TAMARA J. PHILLIPS · 2006 to 2026
$34.5M
Discovery and validation of novel targets for pharmacotherapy of alcoholismZIAAA000487 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI LOVINGER, DAVID M · 2009 to 2015
$23.6M
MODULATION OF ALCOHOL REINFORCEMENTR01AA007702 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI RYABININ, ANDREY E · 1988 to 2019
$4.0M
Naltrexone for Heavy Drinking in Young AdultsR01AA016621 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2007 to 2011
$3.0M
Dependence Driven Alterations in Ethanol ReinforcementU01AA013479 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI CUNNINGHAM, CHRISTOPHER L · 2001 to 2010
$2.8M
MODULATION OF ALCOHOL REINFORCEMENTR37AA007702 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI CUNNINGHAM, CHRISTOPHER L · 1998 to 2007
$2.3M
Improving Alcoholism TreatmentK05AA014715 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2004 to 2013
$2.1M
Intramural NIH HHSMedical Research Council G0400568Medical Research Council G0802642Medical Research Council G0802715Medical Research Council G1000008NIAAA NIH HHS AA013479NIAAA NIH HHS K05 AA014715NIAAA NIH HHS L30 AA016458NIAAA NIH HHS P50 AA012870NIAAA NIH HHS P60 AA010760NIAAA NIH HHS R01 AA007702NIAAA NIH HHS R01 AA016621NIAAA NIH HHS R37 AA007702NIAAA NIH HHS U01 AA013479
6 · The paper itself

Abstract

There is only modest overlap in the most common alcohol consumption phenotypes measured in animal studies and those typically studied in humans. To address this issue, we identified a number of alcohol consumption phenotypes of importance to the field that have potential for consilience between human and animal models. These phenotypes can be broken down into three categories: (1) abstinence/the decision to drink or abstain; (2) the actual amount of alcohol consumed; and (3) heavy drinking. A number of suggestions for human and animal researchers are made in order to address these phenotypes and enhance consilience. Laboratory studies of the decision to drink or to abstain are needed in both human and animal research. In human laboratory studies, heavy or binge drinking that meets cut-offs used in epidemiological and clinical studies should be reported. Greater attention to patterns of drinking over time is needed in both animal and human studies. Individual differences pertaining to all consumption phenotypes should be addressed in animal research. Lastly, improved biomarkers need to be developed in future research for use with both humans and animals. Greater precision in estimating blood alcohol levels in the field, together with consistent measurement of breath/blood alcohol levels in human laboratory and animal studies, provides one means of achieving greater consilience of alcohol consumption phenotypes.

Indexed as

PhenotypeAlcoholismAnimalsConditioning, OperantDisease Models, AnimalEthanolHumansRatsRecurrenceReinforcement, PsychologySpecies SpecificitySurveys and QuestionnairesTemperanceEthanol

Identifiers

PMID20148775
PMCPMC2861719

What OpenQuestion holds

Textmetadata
LicenceTDM
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.