Malignancies among children and young people with HIV in Western and Eastern Europe and Thailand
Bibliographic record
Abstract
OBJECTIVES: Investigate trends over time and predictors of malignancies among children and young people with HIV. DESIGN: Pooled data from 17 cohorts in 15 countries across Europe and Thailand. METHODS: Individuals diagnosed with HIV and presenting to paediatric care less than 18 years of age were included. Time at risk began at birth for children with documented vertically acquired HIV, and from first HIV-care visit for others. Children were followed until death, loss-to-follow-up, or last visit in paediatric or adult care (where data after transfer to adult care were available). Rates of reported malignancies were calculated overall and for AIDS-defining malignancies (ADM) and non-AIDS-defining malignancies (NADM) separately. Risk factors for any malignancy were explored using Poisson regression, and for mortality following a malignancy diagnosis using Cox regression. RESULTS: Among 9632 individuals included, 140 (1.5%) were ever diagnosed with a malignancy, of which 112 (80%) were ADM. Overall, the rate of any malignancy was 1.18 per 1000 person-years; the rate of ADM decreased over time whereas the rate of NADM increased. Male sex, being from a European cohort, vertically acquired HIV, current severe immunosuppression, current viral load greater than 400 copies/ml, older age, and, for those not on treatment, earlier calendar year, were risk factors for a malignancy diagnosis. Fifty-eight (41%) individuals with a malignancy died, a median 2.4 months (IQR 0.6-8.8) after malignancy diagnosis. CONCLUSION: The rate of ADM has declined since widespread availability of combination ART, although of NADM, there was a small increase. Mortality following a malignancy was high, warranting further investigation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".