Evidence map›Paper›PMID 35273933›Full record

SynthesisFrontiers in public health2022

Effectiveness of Interventions for Prevention of Common Infections Among Opioid Users: A Systematic Review of Systematic Reviews.

Svetlana Puzhko, Mark J Eisenberg, Kristian B Filion, Sarah B Windle, Andréa Hébert-Losier, Genevieve Gore, Elena Paraskevopoulos, Marc O Martel, Irina Kudrina

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 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

9 authors at 4 institutions in 1 country.

Svetlana PuzhkoDepartment of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Mark J EisenbergJewish General Hospital, Lady Davis Institute for Medical Research, Montreal, QC, Canada.
Kristian B FilionJewish General Hospital, Lady Davis Institute for Medical Research, Montreal, QC, Canada.
Sarah B WindleDepartment of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Andréa Hébert-LosierJewish General Hospital, Lady Davis Institute for Medical Research, Montreal, QC, Canada.
Genevieve GoreSchulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada.
Elena ParaskevopoulosQueensway Carleton Hospital, Ottawa, ON, Canada.
Marc O MartelDepartment of Anesthesia, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Irina KudrinaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
McGill University · CAMcGill University Health Centre · CAJewish General Hospital · CAQueensway-Carleton Hospital · CA

Funding

CIHR EOC-162067
6 · The paper itself

Abstract

Background: The North American opioid crisis is marked by high opioid-related mortality and morbidity, including opioid use-associated infections (OUAIs). Users of pharmaceutical and non-pharmaceutical opioids are at an increased risk of acquiring hepatitis C (HCV), human immunodeficiency virus (HIV), and other infections. No high-level evidence, however, has been synthesized regarding effectiveness of interventions to prevent OUAIs in legal, and illegal/mixed opioid users. The aim of the study is to synthesize available systematic review (SR)-level evidence on the scope and effectiveness of interventions to prevent OUAIs among opioid users. Methods: A SR of SRs approach was applied. We searched PubMed, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Epistemonikos and Google Scholar from inception to September 2020. Data selection and extraction were performed independently by three researchers. Risk of bias and quality of evidence were assessed using the AMSTAR2 tool. Results were narratively synthesized. Strength of evidence for each category was reported. Results: Eleven of twelve identified SRs included interventions to prevent HCV/HIV transmission in persons who inject drugs (PWID), including opioids. One SR evaluated interventions to prevent recurrent infectious endocarditis. There was sufficient and tentative SR of SRs-level evidence for the effectiveness of opioid substitution therapy (OST) in preventing HIV and HCV, respectively. We found tentative evidence to support effectiveness of needle/syringe exchange programs (NSP) in HIV prevention, and sufficient evidence to support effectiveness of the combined OST and NSP in HCV prevention. There was insufficient SR-level evidence to support or discount effectiveness of other interventions to prevent OUAIs. No SR focused on non-PWID populations. Conclusion: SR-level evidence supports the use of OST, NSP, and combined interventions for the reduction of HCV and HIV transmission in PWID. More research on prevention of other OUAIs and on prevention of OUAIs in non-PWID populations is urgently needed. Systematic Review Registration: Registered in PROSPERO on July 30, 2020. https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=195929, identifier: #195929.

Indexed as

Drug UsersHepatitis CHIV InfectionsOpioid-Related DisordersSubstance Abuse, IntravenousAnalgesics, OpioidHumansSystematic Reviews as TopicAnalgesics, Opioideffectivenessinfectioninterventionopioidpreventionsystematic review

Identifiers

PMID35273933
PMCPMC8901608
OpenAlexW4212980328

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.