Examining need and capacity for the development of a pediatric liver transplantation program in Kenya
Bibliographic record
Abstract
BACKGROUND: In Africa, pediatric liver transplantation (PLT) is currently only performed in Egypt and South Africa, leaving those who require treatment in Kenya to travel abroad. The aim of this study was to determine whether sufficient capacity and need exists in Kenya to establish a safe and sustainable PLT program. METHODS: A descriptive analysis of the intensive care unit (ICU) beds, surgical workforce, current hepatobiliary volume, and estimated prevalence of pediatric liver disease (PLD) was conducted across 17 hospitals in Kenya between July and September 2020. Data were collected from medical superintendents, directors of surgical departments, or nominated proxies at Kenyan Level 5 and 6 hospitals via a web-based survey. RESULTS: A total of 165 ICU beds were reported at 17 facilities, with 15 facilities reporting five or more beds. About 39% of general surgeons at responding hospitals performed hepatobiliary procedures, and 30% performed pediatric surgeries. Only 10% of surgeons had pediatric training. Over half (57%) of hospitals performed hepatobiliary procedures; at the maximum, 1-5 cases were performed per week including cholecystectomy to Kasai portoenterostomy and hepatectomy. Across 13 hospitals, there were an estimated 192-570 cases of PLD seen per month. The most common PLDs were hepatitis B, neonatal hepatitis, cirrhosis, and acute hepatic failure. Overall, two hospitals possessed the minimum workforce and resources to attempt PLT. CONCLUSIONS: In Kenya, ICU bed availability, pediatric surgical training, and hepatobiliary volume are limited. However, the high prevalence of PLD demonstrated a significant need for PLT across all Kenyan hospitals.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".