Prevalence of <i>Mycoplasma genitalium</i> in health clinic attendees complaining of vaginal discharge in Bangladesh
Bibliographic record
Abstract
The objective of the study was to determine the prevalence of Mycoplasma genitalium in a sample of health clinic attendees complaining of vaginal discharge. A subsample of 399 vaginal and cervical swabs was randomly selected from 2579 samples collected during a study to determine the causes of vaginal discharge in women attending primary health-care clinics in Dhaka, Bangladesh. Cervical samples were tested for M. genitalium by polymerase chain reaction. In addition, the samples were tested for Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis, bacterial vaginosis and candida. M. genitalium was detected in three samples (0.8%; 95% confidence interval: 0.00-1.6). The prevalence of C. trachomatis, N. gonorrhoeae T. vaginalis, bacterial vaginosis and candida was 1.3, 3.8, 8, 23.25 and 32.5%, respectively. Two women with M. genitalium were co-infected with T. vaginalis or candida. This is the first study to document the existence of M. genitalium in Bangladesh. Although the prevalence of this infection is low in the population tested, further research into this pathogen in other Bangladeshi populations is justified.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".