Comparing the Occurrence of Trichomonas vaginalis Infections Today to Ten Years Ago Among Women Prostitutes and Gynecology and Obstetrics Patients
Bibliographic record
Abstract
OBJECTIVE: Trichomonas vaginalis is is a monoxenous parasite which lives in human urogenital systems and causes sex transmitted disease through human sexual contact. Disease frequency has been seen at different rates in different communities or in the same community depending on people's sociocultural status. Previously we made a study for determining prevalence of T. vaginalis infection in woman living in Istanbul. We made this present study for determining any difference in prevalence in comparison to the results of ten years earlier. METHODS: A total number of 207 vaginal discharge samples which were collected from two different hospitals, (93 from Venereal Diseases Hospital [VDH] and 114 from Cerrahpasa Ob&Gyn Clinic), were evaluated under direct microscopy and were cultured for T. vaginalis in a Cystein-Peptone-Liver-Maltose (CPLM) medium. RESULTS: T. vaginalis was observed under direct microscopy and grew in culture in 2 (0.97%) of 207 vaginal discharge samples [1 (1.1%) patient from VDH and 1 (0.9%) patient from Cerrahpasa]. CONCLUSION: The incidence of trichomoniasis has significantly decreased compared to the year 2000 in both VDH and Cerrahpasa populations (p=0.038) according to X2 test results. This epidemiologic study shows the importance of social development in the incidence of infectious diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".