Evidence map›Paper›PMID 39398993›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Social determinants of injection drug use-associated bacterial infections and treatment outcomes: systematic review and meta-analysis.

Thomas D Brothers, Dan Lewer, Matthew Bonn, Inhwa Kim, Emilie Comeau, Mary Figgatt, William Eger, Duncan Webster, Andrew Hayward, Magdalena Harris

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Thomas D BrothersUCL Collaborative Centre for Inclusion Health, Institute of Epidemiology & Health Care, University College London (UCL), London, UK.ORCID 0000-0002-5570-5556
Dan LewerUCL Collaborative Centre for Inclusion Health, Institute of Epidemiology & Health Care, University College London (UCL), London, UK.ORCID 0000-0003-3698-7196
Matthew BonnCanadian Association of People who Use Drugs (CAPUD), Dartmouth, Canada.ORCID 0000-0002-6406-0171
Inhwa KimDalhousie Medical School, Dalhousie University, Halifax, Canada.
Emilie ComeauDalhousie Medical School, Dalhousie University, Halifax, Canada.
Mary FiggattDepartment of Epidemiology, University of North Carolina, Chapel Hill, USA.ORCID 0000-0002-3312-2413
William EgerJoint Doctoral Program in Interdisciplinary Research on Substance Use, University of California - San Diego and San Diego State University, San Diego, USA.ORCID 0000-0002-4775-7313
Duncan WebsterDepartment of Medicine, Dalhousie University, Halifax, Canada.
Andrew HaywardUCL Collaborative Centre for Inclusion Health, Institute of Epidemiology & Health Care, University College London (UCL), London, UK.ORCID 0000-0002-3549-6232
Magdalena HarrisDepartment of Public Health, Environments and Society, London School of Hygiene and Topical Medicine (LSHTM), London, UK.ORCID 0000-0001-8718-8226

Funding

Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
Infections and Drug Use-Related Morbidity and Mortality among People Who Use DrugsF31DA055345 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FIGGATT, MARY CHARLOT · 2022 to 2023
$60k
NIDA NIH HHS F31 DA055345NIDA NIH HHS R25 DA033211
6 · The paper itself

Abstract

Background: Individual injecting practices (e.g., intramuscular injecting, lack of skin cleaning) are known risk factors for injection drug use-associated bacterial and fungal infections; however, social contexts shape individual behaviours and health outcomes. We sought to synthesize studies assessing potential social determinants of injecting-related infections and treatment outcomes. Methods: We searched five databases for studies published between 1 January 2000 and 18 February 18 2021 (PROSPERO CRD42021231411). We included studies of association (aetiology), assessing social determinants, substance use, and health services exposures influencing development of injecting-related infections and treatment outcomes. We pooled effect estimates via random effects meta-analyses. Results: We screened 4,841 abstracts and included 107 studies. Several factors were associated with incident or prevalent injecting-related infections: woman/female gender/sex (adjusted odds ratio [aOR] 1.57, 95% confidence interval [CI] 1.36-1.83; n=20 studies), homelessness (aOR 1.29, 95%CI 1.16-1.45; n=13 studies), cocaine use (aOR 1.31, 95%CI 1.02-1.69; n=10 studies), amphetamine use (aOR 1.74, 95%CI 1.39-2.23; n=2 studies), public injecting (aOR 1.40, 95%CI 1.05-1.88; n=2 studies), requiring injecting assistance (aOR 1.78, 95%CI 1.40-2.27; n=8 studies), and use of opioid agonist treatment (aOR 0.92, 95%CI 0.89-0.95; n=9 studies). Studies assessing outcomes during treatment (e.g., premature hospital discharge) or afterward (e.g., rehospitalization; all-cause mortality) typically had smaller sample sizes and imprecise effect estimates. Conclusions: Injecting-related infections and treatment outcomes may be shaped by multiple social contextual factors. Approaches to prevention and treatment should look beyond individual injecting practices towards addressing the social and material conditions within which people live, acquire and consume drugs, and access health care.

Identifiers

PMID39398993
PMCPMC11469356

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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.