Systematic Review: Estimation of global burden of non‐suppurative sequelae of upper respiratory tract infection: rheumatic fever and post‐streptococcal glomerulonephritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To establish the incidence of post-streptococcal glomerulonephritis (PSGN) and acute rheumatic fever, the prevalence of rheumatic heart disease (RHD), and to estimate morbidity and mortality caused by these diseases globally. METHODS: Systematic literature review and review of World Health Organisation (WHO) vital registration data (VRD). RESULTS: Incidence and prevalence of rheumatic fever and RHD show very significant global variation. The greatest burden was found in sub-Saharan Africa, the lowest in North America. The highest mortality rates from these two diseases were reported in the indigenous populations of Australia (23.8 per 100,000). Among countries with VRD, the highest mortality was found in Mauritius (4.32 per 100,000). A few studies reported mortality from PSGN and these reported low mortality rates (mean 0.028 per 100,000 in developing countries). CONCLUSION: Lack of data from key parts of the world limits our ability to make precise statements of disease burden. Further research and surveillance is required to generate more primary data to inform future estimates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it