Population‐based prevalence of human T‐lymphotropic virus type 1 in sub‐Saharan Africa: a systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Human T-cell lymphotropic virus type 1 (HTLV-1), the causative agent of adult T-cell leukaemia/lymphoma (ATL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP), is endemic in sub-Saharan Africa (SSA) and poses a high morbidity and mortality risk. Its prevalence in the general population is poorly understood. The potential for prevention motivated us to do a systematic review and meta-analysis of population-based studies to estimate the prevalence of HTLV-1 in SSA. METHODS: A comprehensive, no-limit search was conducted in EMBASE, PubMed, Web of Science and the Cochrane Library from their inception dates to March 2019. Population-based studies presenting data on HTLV-1 in sub-Saharan Africa were included. Pooled prevalence was estimated using a random-effects meta-analysis. RESULTS: A total of 21 studies were included, representing 42 297 participants. The pooled HTLV-1 seroprevalence was 3.19% (95% CI 2.36-4.12%) with variations across year of study. Prevalence of HTLV-1 positively correlated with year of study (β = 0.0036, P = 0.007). Participants from Central, Western and Southern Africa had a seroprevalence of 4.16% (95% CI 2.43-6.31%), 2.66% (95% CI 1.80-3.68%) and 1.56% (95% CI 0.48-3.15%), respectively. CONCLUSIONS: Our findings suggest that HTLV-1 infection is a public health concern in SSA and highlight the need to implement effective preventive programmes and interventions aimed at reducing the burden of this common yet neglected infection.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| 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) | 0.001 | 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 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".