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Record W2102237390 · doi:10.1177/0956462412472826

Non-occupational post-exposure prophylaxis for HIV at St Michael's Hospital, Toronto: a retrospective review of patient eligibility and clinical outcomes

2013· review· en· W2102237390 on OpenAlexafffundabout
A C H Chan, Kevin Gough, Deborah Yoong, M Dimeo, Darrell H. S. Tan

Bibliographic record

VenueInternational Journal of STD & AIDS · 2013
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchOntario HIV Treatment Network
KeywordsMedicinePost-exposure prophylaxisAsymptomaticSyphilisMen who have sex with menHuman immunodeficiency virus (HIV)PediatricsSurgeryFamily medicine

Abstract

fetched live from OpenAlex

Stringent eligibility criteria, drug costs and antiretroviral toxicities are challenges in delivering HIV non-occupational post-exposure prophylaxis (nPEP). We reviewed patients' nPEP eligibility and clinical outcomes at St Michael's Hospital, Toronto, Canada to identify opportunities for improvement. Of 241 patients, 59%, 36% and 6% presented for high- (receptive anal/vaginal, blood), medium- (insertive anal/vaginal) and low-risk (oral) sexual exposures, respectively, and nearly all (93%) presented within 72 hours. Of 205 patients given nPEP, 20 were known to have discontinued nPEP prematurely: three due to costs but none due to toxicities. Two HIV seroconversions occurred in patients with suspected ongoing potential exposures. Five asymptomatic syphilis diagnoses were made among 71 tested. Only 39% and 19% of nPEP patients returned to our institution for follow-up at 3-4 and six months, respectively. Our findings underscore the feasibility and importance of nPEP programmes to HIV and sexually transmitted infection control, while identifying opportunities for improvement.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.445
Teacher spread0.411 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations23
Published2013
Admission routes3
Has abstractyes

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