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Record W4411080586 · doi:10.1101/2025.06.05.25328916

An exploratory intersectional analysis of syphilis prevalence among people who inject drugs in Montreal, Canada

2025· preprint· en· W4411080586 on OpenAlexafffundabout
Brendan L. Harney, Julie Bruneau, Valérie Martel‐Laferrière, Sarah Larney

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health ResearchFonds de Recherche du Québec - SantéGilead Sciences
KeywordsSyphilisExploratory researchMedicineExploratory analysisGeographyFamily medicinePolitical scienceSociologyHuman immunodeficiency virus (HIV)Data scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

ABSTARCT Background Syphilis notifications have increased among women and heterosexual men in Canada and people who inject drugs (PWID) are an emerging group at risk of infection. We examined syphilis prevalence among PWID and how this varied by intersecting population groups, socio-structural factors and sexual and substance use behaviors. Methods Data were from HEPCO, a cohort study of PWID in Montreal. We tested for syphilis via venipuncture with treponemal testing reflexed to non-treponemal testing if positive. We included the result at each person’s first test and exact logistic regression was used to examine differences in the prevalence of lifetime syphilis infection. Results Between November 2022 and March 2024, 386 people (16.1% women) had a syphilis test. Thirty-three people (8.6%) had lifetime syphilis and two people (0.5%) had active syphilis. Prevalence was significantly higher among men identifying as gay or bisexual, men with HIV, and those who reported recent sex work, condom-less sex, 2 or more sex partners and amphetamine injecting. Among women with syphilis, prevalence was higher among those who reported recent sex work, recent unstable housing and amphetamine injecting; however, the confidence interval included the null. Conclusion Active syphilis infection was uncommon among this cohort of PWID; however, lifetime syphilis infection was almost 9%. Among men in this cohort, there is evidence that syphilis intersects with other key population group characteristics. More data are needed to better understand syphilis among women who inject drugs. Periodic syphilis testing among PWID may be justified alongside testing for other sexually transmissible and blood borne infections. What is already known on this topic Contemporary increases in syphilis infection notifications in high income countries has been linked to substance use, including injecting drug use. However, there is a limited understanding of syphilis specifically among people who inject drugs. What this study adds This is the first study in more than 10 years to examine syphilis prevalence among people who inject drugs in Montreal, the second biggest city in Canada. Active syphilis was uncommon but still higher than the Canadian general population. Lifetime syphilis was associated with a range of intersecting key population groups and behaviours. How this study might affect research, practice or policy Our study provides a contemporary understanding of syphilis specifically among people who inject drugs in Montreal. Syphilis testing may be warranted among people who inject drugs to ensure prevalence stays low and guidelines from the Quebec government dating from 2019 should be revised.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.010
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.302
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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