Evidence map›Paper›PMID 31058177›Full record

ArticleFrontiers in applied mathematics and statistics2019

Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption.

Sharon Moore, Ami Radunskaya, Elizabeth Zollinger, Kathleen A Grant, Steven Gonzales, Erich J Baker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in applied mathematics and statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 4 institutions in 1 country.

Sharon MooreDepartment of Computer Science, Bioinformatics, Baylor University, Waco, TX, United States.
Ami RadunskayaDepartment of Mathematics, Pomona College, Claremont, CA, United States.
Elizabeth ZollingerDepartment of Mathematics and Computer Science, St. Joseph's College, Brooklyn, NY, United States.
Kathleen A GrantOregon Health & Science University, Portland, OR, United States.
Steven GonzalesOregon Health & Science University, Portland, OR, United States.
Erich J BakerDepartment of Computer Science, Bioinformatics, Baylor University, Waco, TX, United States.
Baylor University · USOregon Health & Science University · USPomona College · USSt. Joseph's College New York · US

Funding

Upgrade of confocal microscopy at the Oregon National Primate Research CenterP51OD011092 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI Bonnie J. Nagel · 2012 to 2026
$203.9M
Monkey Alcohol Tissue Research Resource (MATRR)R24AA019431 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Mary Lauren Benton, Verginia Carmella Cuzon Carlson · 2010 to 2026
$10.3M
INIA: Stress, Anxiety and Excessive Alcohol Drinking (Administrative Core)U24AA013641 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KATHLEEN A GRANT · 2016 to 2026
$3.4M
NIAAA NIH HHS R24 AA019431NIAAA NIH HHS U24 AA013641NIH HHS P51 OD011092
6 · The paper itself

Abstract

We simulate a non-human primate's alcohol drinking pattern in order to better understand temporal patterning of alcoholic drinks that can lead to the excessive intakes associated with alcohol use disorder. A stochastic mathematical model of alcohol consumption pattern is developed, where model parameters are calibrated to an individual monkey's drinking history. The model predicts a time series that simulates a monkey's alcohol intake in time, and we analyze this drinking pattern to understand the variations in day and night drinking, the lengths of drinks (intake in 5 or more consecutive secs), and lengths of bouts (1 or more drinks per 5 min occasion). This time series can predict a lifetime categorical drinking level (light, binge, heavy, or very heavy), thus correlating an individual monkey's parameters with distinct long term drinking classifications.

Indexed as

alcohol consumptiondrinking classificationMarkov processmathematical modelmodel fittingstochastic

Identifiers

PMID31058177
PMCPMC6497450
OpenAlexW2916090773

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.