Evidence map›Paper›PMID 24567700›Full record

ArticleJournal of food and drug analysis2013

Capacity building and collaborative research on cross-national studies in the Asian region.

Yih-Ing Hser, Linda Chang, Gene-Jack Wang, Ming D Li, Richard Rawson, Steve Shoptaw, Jacques Normand, Betty Tai

Abstract read
In one paragraph

Article in Journal of food and drug analysis, 2013. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Collaborative work between the West and Asia.Yao wu shi pin fen xi = Journal of food and drug analysis · 2013
    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.

Yih-Ing Hser
Linda Chang
Gene-Jack Wang
Ming D Li
Richard Rawson
Steve Shoptaw
Jacques Normand
Betty Tai

Funding

STATISTICAL SUPPORT/DATA MANAGEMENT COREP30DA016383 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2005 to 2015
$8.6M
Conference Series to Promote Global Health...R13DA035084 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2013 to 2017
$143k
NIDA NIH HHS P30 DA016383NIDA NIH HHS R13 DA035084
6 · The paper itself

Abstract

To build capacity and collaborative research for future cross-national studies in the Asian and Pacific Islander (API) region, priority research topics were identified and discussed at the April 2013 Conference to Promote Global Health in Taipei. These topics included (1) Neuroscience on HIV/HCV and amphetamine-type stimulants (ATS), led by Drs. Linda Chang, Gene-Jack Wang, and Betty Tai; (2) ATS and mental health disorders, led by Drs. Richard Rawson and Wilson Compton; and (3) HIV/HCV transmission and social networks, led by Drs. Steven Shoptaw and Jacques Normand. Potential genetic studies spanning these topical areas as well as the importance of smoking cessation were further discussed, led by Dr. Ming Li. Additional priority research topics were also identified: (4) Drug use prevention, and (5) Family involvement to improve treatment adherence and recovery. Workgroups on these topics will be formed to prioritize research questions within the respective topical area and to determine the next steps. The ultimate goal of these workgroups is to stimulate collaboration that will eventually lead to research studies addressing critical issues related to the rising substance abuse and HIV infection rates in many Asian countries and, at the same time, to advance the scientific knowledge of substance abuse and HIV infection.

Indexed as

Asiacapacity buildingcollaborative researchcross-national studies

Identifiers

PMID24567700
PMCPMC3931525

What OpenQuestion holds

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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.