Timely Diagnosis of Incubating Syphilis Infections Using <i>Treponema pallidum</i> Transcription-Mediated Amplification Assay
Bibliographic record
Abstract
BACKGROUND: Syphilis is a complex, multistage, sexually transmitted infection (STI) caused by the bacterium Treponema pallidum subspecies pallidum (TP). New diagnostic tools are needed to minimize transmission. In this study, we aimed to assess the additional value of an investigational transcription-mediated amplification test for TP (TP-TMA) for routine diagnostics. METHODS: Between September 2021 and August 2022, visits by all participants of the national preexposure prophylaxis (PrEP) program at the sexual health center (SHC) in Amsterdam were included. Anal, pharyngeal, vaginal, and urine samples collected for Chlamydia trachomatis and Neisseria gonorrhoeae screening were additionally tested with the TP-TMA assay based on detection of 23S rRNA of TP. RESULTS: In total, 9974 SHC visits by 3283 participants were included. There were 191 infectious syphilis cases diagnosed: 26 (14%) primary syphilis, 54 (29%) secondary syphilis, and 111 (58%) early latent syphilis. In 79 of the 191 (41%) syphilis cases, at least 1 sample was TP-TMA-positive. For 16 participants, the positive TP-TMA result was not concordant with routine diagnostics. Of those, 2 participants were treated for syphilis within a week before the visit. Eight participants were treated for a syphilis notification at the visit or for another STI. Five participants were diagnosed with syphilis at the following visit, and 1 participant was lost to follow-up. CONCLUSIONS: By adding the TP-TMA assay to routine diagnostics, we identified 14 of 191 (7%) additional syphilis infections among participants of the national PrEP program. The TP-TMA assay is a useful diagnostic tool to increase syphilis case finding and thus limit the transmission of syphilis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".