Evidence map›Paper›PMID 24554390›Full record

ReviewThe journal of behavioral health services & research2015

Key Data Gaps Regarding the Public Health Issues Associated with Opioid Analgesics.

Teresa D Schmidt, J David Haddox, Alexandra E Nielsen, Wayne Wakeland, John Fitzgerald

Abstract readReview
In one paragraph

Review in The journal of behavioral health services & research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Teresa D SchmidtSystems Science Graduate Program, Portland State University, Portland, OR, USA. tds@pdx.edu.
J David HaddoxHealth Policy, Purdue Pharma L.P., Stamford, CT, USA. Dr.J.David.Haddox@pharma.com.
Alexandra E NielsenSystems Science Graduate Program, Portland State University, Portland, OR, USA. alexan3@pdx.edu.
Wayne WakelandSystems Science Graduate Program, Portland State University, Portland, OR, USA. wakeland@pdx.edu.
John FitzgeraldPurdue Pharma L.P., Stamford, CT, USA. John.Fitzgerald@pharma.com.
Portland State University · USPurdue Pharma (Canada) · CA

Funding

The System Dynamics of Pharmaceutical Opioid MisuseR21DA031361 · NIDA · PORTLAND STATE UNIVERSITY · PI WAKELAND, WAYNE WILLIAM · 2011 to 2012
$357k
NIDA NIH HHS 5R21DA031361-02NIDA NIH HHS R21 DA031361
6 · The paper itself

Abstract

Most pharmaceutical opioids are used to treat pain, and they have been demonstrated to be effective medications for many. Their abuse and misuse pose significant public health concerns in the USA. Research has provided much insight into the prevalence, scope, and drivers of opioid abuse, but a holistic understanding is limited by a lack of available data regarding key aspects of this public health problem. Twelve data gaps were revealed during the creation of a systems-level computer model of medical use, diversion, nonmedical use, and the adverse outcomes associated with opioid analgesics in the USA. Data specific to these gaps would enhance the validity and real-world applications of systems-level models of this public health problem and would increase understanding of the complex system in which use and abuse occur. This paper provides an overview of these gaps, argues for the importance of closing them, and provides specific recommendations for future data collection efforts.

Indexed as

Public HealthAnalgesics, OpioidHumansOpioid-Related DisordersAnalgesics, Opioid

Identifiers

PMID24554390
PMCPMC4139477
OpenAlexW2061972247

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.