Evidence map›Paper›PMID 32771004›Full record

ArticleHealth research policy and systems2020

The opioid crisis: need for systems science research.

Mohammad S Jalali, Michael Botticelli, Rachael C Hwang, Howard K Koh, R Kathryn McHugh

Abstract readLetter
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Economic Evaluation in Opioid Modeling: Systematic Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Pooled it
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  11. Modeling the evolution of the US opioid crisis for national policy development.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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.

Mohammad S JalaliMGH Institute for Technology Assessment, Harvard Medical School, 101 Merrimac St, Suite 1010, Boston, MA, 02114, United States of America. msjalali@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-6769-2732
Michael BotticelliGrayken Center for Addiction, Boston Medical Center, Boston, MA, United States of America.
Rachael C HwangMIT Sloan School of Management, 100 Main St, Cambridge, MA, 02142, United States of America.
Howard K KohT.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
R Kathryn McHughMGH Institute for Technology Assessment, Harvard Medical School, 101 Merrimac St, Suite 1010, Boston, MA, 02114, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The opioid epidemic in the United States has had a devastating impact on millions of people as well as on their families and communities. The increased prevalence of opioid misuse, use disorder and overdose in recent years has highlighted the need for improved public health approaches for reducing the tremendous harms of this illness. In this paper, we explain and call for the need for more systems science approaches, which can uncover the complexities of the opioid crisis, and help evaluate, analyse and forecast the effectiveness of ongoing and new policy interventions. Similar to how a stream of systems science research helped policy development in infectious diseases and obesity, more systems science research is needed in opioids.

Indexed as

Drug OverdoseEpidemicsOpioid-Related DisordersAnalgesics, OpioidHumansOpioid EpidemicUnited StatesAnalgesics, Opioidopioidsopioid use disordersimulation modellingsystems science

Identifiers

PMID32771004
PMCPMC7414582

What OpenQuestion holds

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LicenceCC BY
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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.