Evidence map›Paper›PMID 24085772›Full record

ArticleClinical trials (London, England)2013

The national drug abuse treatment clinical trials network data share project: website design, usage, challenges, and future directions.

Dikla Shmueli-Blumberg, Lian Hu, Colleen Allen, Michael Frasketi, Li-Tzy Wu, Paul Vanveldhuisen

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Clinical trial data access: Opening doors with TrialShare.The Journal of allergy and clinical immunology · 2016
    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.

Dikla Shmueli-BlumbergaNIDA CTN Clinical Coordinating Center, The EMMES Corporation, Rockville, MD, USA.
Lian Hu
Colleen Allen
Michael Frasketi
Li-Tzy Wu
Paul Vanveldhuisen

Funding

MDMA and Other Hallucinogen Use: Onset and Abuse/DependenceR01DA019623 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2013
$1.1M
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR33DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2010 to 2012
$1.1M
NIDA NIH HHS HHSN271200522071CNIDA NIH HHS HHSN271200900034CNIDA NIH HHS R01 DA019623NIDA NIH HHS R01DA019623NIDA NIH HHS R33 DA027503NIDA NIH HHS R33DA027503PHS HHS HSN271200522071C
6 · The paper itself

Abstract

backgroundThere are many benefits of data sharing, including the promotion of new research from effective use of existing data, replication of findings through re-analysis of pooled data files, meta-analysis using individual patient data, and reinforcement of open scientific inquiry. A randomized controlled trial is considered as the 'gold standard' for establishing treatment effectiveness, but clinical trial research is very costly, and sharing data is an opportunity to expand the investment of the clinical trial beyond its original goals at minimal costs. PURPOSE: We describe the goals, developments, and usage of the Data Share website (http://www.ctndatashare.org) for the National Drug Abuse Treatment Clinical Trials Network (CTN) in the United States, including lessons learned, limitations, and major revisions, and considerations for future directions to improve data sharing.

methodsData management and programming procedures were conducted to produce uniform and Health Insurance Portability and Accountability Act (HIPAA)-compliant de-identified research data files from the completed trials of the CTN for archiving, managing, and sharing on the Data Share website.

resultsSince its inception in 2006 and through October 2012, nearly 1700 downloads from 27 clinical trials have been accessed from the Data Share website, with the use increasing over the years. Individuals from 31 countries have downloaded data from the website, and there have been at least 13 publications derived from analyzing data through the public Data Share website. LIMITATIONS: Minimal control over data requests and usage has resulted in little information and lack of control regarding how the data from the website are used. Lack of uniformity in data elements collected across CTN trials has limited cross-study analyses.

conclusionsThe Data Share website offers researchers easy access to de-identified data files with the goal to promote additional research and identify new findings from completed CTN studies. To maximize the utility of the website, ongoing collaborative efforts are needed to standardize the core measures used for data collection in the CTN studies with the goal to increase their comparability and to facilitate the ability to pool data files for cross-study analyses.

Indexed as

Clinical Trials as TopicDatabases, FactualCooperative BehaviorData CollectionHumansInformation DisseminationNational Institute on Drug Abuse (U.S.)Substance-Related DisordersUnited States

Identifiers

PMID24085772
PMCPMC3994893

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.