Trypanosoma brucei gambiense African trypanosomiasis: differences between men and women in severity of disease and response to treatment
Bibliographic record
Abstract
To compare the characteristics of women and men with Trypanosoma brucei gambiense trypanosomiasis, all 3231 cases treated in Nioki hospital, Democratic Republic of Congo, from 1982 to 2000 were reviewed for demographic information, date and mode of diagnosis, pre-treatment cerebrospinal fluid (CSF) examination, treatment given and its adverse effects, and whether a diagnosis of relapse was made during post-treatment follow-up. Women had a higher apparent incidence of Gambian trypanosomiasis than men (1768 cases in females, 1463 in males), due to selective migration of males out of endemic foci and potentially to a higher exposure among females. Women presented with a less-advanced disease than men: 27% (384/1431) of women had CSF trypanosomes and 72% (1024/1431) had an abnormal CSF white cell count, while corresponding figures in men were 39% (431/1115) and 82% (910/1115) (P < 0.001 for both comparisons), presumably because of differences in health-seeking behaviour. Men (61/718, 8.5%) were more likely to relapse after melarsoprol treatment than women (41/857, 4.8%) (P = 0.004), even after adjustment for other independent risk factors in multivariate analysis. The cause of this higher risk of treatment failure among men treated with melarsoprol remains unclear.
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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 | 0.002 |
| 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 | 0.000 | 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".