Summary of International Recommendations for Donation and Transplantation Programs During the Coronavirus Disease Pandemic
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has disrupted all aspects of the international organ donation and transplantation (ODT) system. Multiple organizations have developed guidance, but to date, no comparative summary has emerged to understand differences in existing recommendations. METHODS: We developed and applied a comparative methodology to a convenience sample of recommendations available on The Transplantation Society website. Document types were classified according to characteristics such as type of organization (eg, governing body or professional society) and geographic region. Recommendations were grouped according to content, and summaries were posted on a public website. This process is ongoing and will be updated as new recommendations become available. RESULTS: Eighteen documents were extracted in the initial review. All documents were based on expert opinion, and none described a formal literature review or adherence with clinical guideline development processes. Recommendation categories included screening of potential donors, risk assessment of potential recipients, posttransplant risk, living/paired donation, protection of ODT professionals, and ethics/logistics. While many documents included similar recommendations, such as the need to screen and test patients who are potential donors, there was variation on some topics. Type of recommended laboratory testing varied with 64% recommending nasopharyngeal swabs, 43% oropharyngeal, and 24% bronchial aspirates. Updated results are available at https://cdtrp.ca/en/covid-19-international-recommendations-for-odt/. CONCLUSIONS: The current state of COVID-19 ODT recommendations is limited to expert opinion. Substantial variation exists regarding recommendations, which are based on emerging but currently low-quality evidence. This summary of existing recommendations will serve to inform priorities for evidence-based recommendations.
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.
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 | 0.044 | 0.168 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.017 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".