Evidence map›Paper›PMID 36757712›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Patterns of Infectious Disease Associated With Injection Drug Use in Massachusetts.

Gregg S Gonsalves, A David Paltiel, Thomas Thornhill, Alfred DeMaria, Kevin Cranston, R Monina Klevens, Joshua L Warren

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 10 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

7 authors at 3 institutions in 1 country.

Gregg S GonsalvesDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.ORCID 0000-0002-5789-9841
A David PaltielPublic Health Modeling Unit, Yale School of Public Health, New Haven, USA.
Thomas ThornhillDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
Alfred DeMariaBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, USA.
Kevin CranstonBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, USA.
R Monina KlevensBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, USA.
Joshua L WarrenPublic Health Modeling Unit, Yale School of Public Health, New Haven, USA.
Boston University · USYale University · USYale New Haven Health System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
Predicting and monitoring variations in the effects of vaccines against RSVR01AI137093 · NIAID · YALE UNIVERSITY · PI Virginia E Pitzer, Daniel Martin Weinberger · 2018 to 2026
$3.4M
Novel, Adaptive Approaches to Predicting and Responding to Outbreaks of Overdose, HIV and HCV Among People Who Use DrugsDP2DA049282 · NIDA · YALE UNIVERSITY · PI GONSALVES, GREGG STEVEN · 2019 to 2019
$2.5M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI137093NIDA NIH HHS DP2 DA049282NIDA NIH HHS R37 DA015612
6 · The paper itself

Abstract

backgroundSince 2014, multiple outbreaks of human immunodeficiency virus (HIV) among people who inject drugs have occurred across the United States along with hepatitis C virus (HCV), skin and soft tissue infections (SSTIs), and infective endocarditis (IE), creating a converging public health crisis.

methodsWe analyzed the temporal patterns of infectious disease and overdose using a hierarchical Bayesian distributed lag logistic regression model examining the probability that a given geographic area experienced at least 1 HIV case in a given month as a function of the counts/rates of overdose, HCV, SSTI, and IE and associated medical procedures at different lagged time periods.

resultsCurrent-month HIV is associated with increasing HCV cases, abscess incision and drainage, and SSTI cases, in distinct temporal patterns. For example, 1 additional HCV case occurring 5 and 7 months previously is associated with a 4% increase in the odds of observing at least 1 current-month HIV case in a given locale (odds ratios, 1.04 [90% credible interval {CrI}: 1.01-1.10] and 1.04 [90% CrI: 1.00-1.09]). No such associations were observed for echocardiograms, IE, or overdose.

conclusionsLagged associations in other infections preceding rises in current-month HIV counts cannot be described as predictive of HIV outbreaks but may point toward newly discovered epidemics of injection drug use and associated clinical sequalae, prompting clinicians to screen patients more carefully for substance use disorder and associated infections.

Indexed as

EndocarditisHepatitis CHIV InfectionsSubstance Abuse, IntravenousBayes TheoremHepacivirusHIVHumansMassachusettsUnited StatesHCVinfectious diseasesinjection drug useskin and soft tissue infections

Identifiers

PMID36757712
PMCPMC10273381
OpenAlexW4319656298

What OpenQuestion holds

Textmetadata
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.