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Record W4411745325 · doi:10.1097/gco.0000000000001049

Syphilis screening in pregnancy: no time for complacency

2025· article· en· W4411745325 on OpenAlexaff
Aaradhana Singh, Tom Wong, Joan Robinson

Bibliographic record

VenueCurrent Opinion in Obstetrics & Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsUniversity of OttawaUniversity of Alberta
Fundersnot available
KeywordsMedicineCongenital syphilisPsychological interventionSyphilisOutreachPregnancyEquity (law)PovertyFamily medicineHealth equityHealth careEnvironmental healthNursingPublic healthEconomic growthHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Congenital syphilis continues to result in devastating adverse pregnancy and infant outcomes globally, with significant rises noted in recent years in high-income countries (HIC). Prenatal screening and prompt treatment for syphilis in pregnant persons are important in contributing to healthy pregnancy outcomes, particularly in equity-denied populations. However, the implementation of these recommendations remains challenging, even in HIC. RECENT FINDINGS: Although antenatal screening guidelines for syphilis universally recommend screening in pregnancy, the implementation of these recommendations has been challenging. In HIC, individuals grappling with poverty, unstable housing, addictions, and mental health concerns often encounter significant barriers to accessing essential healthcare services. Innovative approaches, such as the use of rapid/point-of-care tests, opportunistic screening, and community-based or outreach testing, are essential to reach key equity-denied populations. It is crucial to include members of key populations and community-based organizations in the design of interventions to effectively reach these populations. SUMMARY: Given the resurgence of congenital syphilis in some regions, especially in HIC, we must address this preventable cause of maternal and fetal morbidity and mortality effectively. Collaboration between all levels of government and health services and the inclusion of key equity-denied populations is crucial.

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)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.622
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.367
Teacher spread0.305 · 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.

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 routes1
Has abstractyes

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