Evolution of nephrology in east Africa in the last seventy years--studies and practice
Bibliographic record
Abstract
Interest in renal disease and practice in East Africa started as far back as the first quarter of this century. Work in this colonial era concentrated on establishing the existence of renal diseases and identifying the nature and incidence of these diseases. This was achieved by case identification and reporting as well as retrospective studies on post mortem and medical notes. The post independence period has not only identified the existence of even more renal diseases but also concentrated on getting a deeper understanding of the aetiology, nature, pattern, regional variations, complications and outcome of these diseases as seen in our environment. Apart from the better understanding of the prevalent renal diseases, emphasis has also been put on the expansion and delivery of renal services. Investigative and treatment facilities have been improved and a lot has been put into the training of the required local team of experts to man these services. This article reviews what has gone on in the last 70 years from the pure case-report and postmortem reports era to the era of locally available modern facilities including haemodialysis, peritoneal dialysis and kidney
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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 | 0.001 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".