333.4: Capacity building and training on organ transplantation in Myanmar through Myanmar-Korea joint efforts.
Bibliographic record
Abstract
In Myanmar, the 1st LDKT was performed by a joint team of Myanmar and UK in 1993 followed by 1st successful LDKT in 1995. The first successful KT by Myanmar team alone was performed in 1997. From 1997 to 2011, 254 LDKT have been performed[1] in 3 hospitals. The ‘Organ Body Organ Donation Law (2004)’ was established such that every donor must give consent before organ donation. Despite new legal basis, the clinical capacity for organ transplantation in Myanmar was limited until 2011, when Myanmar-Korea joint program (M-K program) was initiated. In 2011, M-K program took off with the 1st Vitallink workshop on “Asian Organ Donation” in Seoul, Korea under the title of “Sharing Vision of Life with Asian Friends.” From 2012, Raphael International provided fellowship trainings for young Myanmar medical professionals. First Myanmar Transplantation Strategy Workshop was held in University of Medicine (1), Yangon in 2016. The ‘SWOT analysis’ led to development of four priorities: (1) Legislation of fair and ethical organ transplantation law and orders; (2) Establishment of organ procurement system for activating deceased organ donation; (3) Securing specialized organ transplantation staff within the Yangon 1 Hospital;[2] and (4) Building hospital infrastructure for organ donation including Transplant Immunology Laboratory. The final goal was summarized as “National Transplantation System Building through Medical Capacity Enhancement.” Since then, annual M-K Transplantation Workshops have been held in Yangon each consisting of 4 parts. Part I: The Vitallink Seminar, which promotes deceased organ transplantation system building. Part II: Clinical transplantation seminar. Part III: M-K joint clinical organ transplantation surgery. Part IV: Skills development animal model workshop for deceased organ retrieval and transplantation. Until now, M-K program has supported training of 49 transplantation professionals from 6 different hospitals. M-K Vitallink Workshops have dealt with many medical and social issues regarding deceased organ transplantations. The Revised Body Organ Donation Law (2015) was announced, which prohibits ‘Illegal Organ Trade’. M-K joint kidney and liver transplantations has been expanded to 3 tertiary hospitals with trained supporting team members. Hospital infrastructures of organ transplantation and number of kidney and liver transplantations have been continuously improved.[3] In 2019, 2nd Strategy Workshop to facilitate deceased organ transplantation agreed to prioritize establishment of (1) Myanmar national transplant authority (2) transplantation immunology laboratory and (3) National Myanmar database and waiting list.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".