MétaCan
Menu
Back to cohort

Evolution of Donation and Transplantation after Circulatory Death Activities (2012-2016)

2018· article· en· W2883673547 on OpenAlexaboutno aff
Jaime Marco, Marina Álvarez Benito, Mar Carmona, Beatriz Mahíllo, Beatriz Domínguez‐Gil

Bibliographic record

VenueTransplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsDonationTransplantationOrgan donationPopulationMedicineScope (computer science)Cause of deathDemographyFamily medicinePolitical scienceEnvironmental healthSurgeryInternal medicineLawDisease

Abstract

fetched live from OpenAlex

Introduction The Newsletter Transplant of the Council of Europe publishes donation and transplantation international figures for organ, tissues and haematopoietic stem cell, and the documents produced by the committee of experts on the organizational aspects of co-operation in organ transplantation. It is edited annually since 1996 by the Spanish National Transplant Organization (ONT). We have taken into account the last 5 years (2012-2016) with the objective of describing the evolution of donation after circulatory death (DCD) figures and transplants performed from cardiac death donations. Materials and Methods Data Source: Information of the Newsletter is collected through a network of national focal points designated by the Ministries of Health of the participating countries, by means of a specifically designed questionnaire.Scope and Study Period: We selected the 22 countries that are nowadays performing DCDto perform a descriptive analysis and assess the development of their cardiac death donation and transplantation activities during the period 2012 to 2016. Neither Canada nor Russia report data for transplantation from DCD, so they have not been taken into account in that area. Results and Discussion In 2012 there were 2339 DCD vs 3557 in 2016, representing a 52% increase. By countries, the biggest increase has occurred in Italy, a 300% increase, going from 5 donors (0.08 per million population) to 20 (0.33). The country with the largest number of actual donors in absolute numbers is USA: 1684. The country with the highest rate of DCD pmp in 2016 is Spain (10.74). Since 2012, DCD is being performed in 8 more countries: Ireland, Israel, Lithuania, New Zeland, Norway, Poland, Portugal and Saudi Arabia.There has been a decrease in DCD in two countries: Russia and Latvia. Solid organ transplants from DCD have increased in this 5 year period. Kidney transplants have gone from 3179 (4.34 pmp) to 5176 (6.91). Increases over 100% were reported in Italy and Spain. There were decreases in Austria, Ireland, Latvia and Netherlands. Liver transplants from DCD are performed in 11 of the 20 countries for which data is available. In 2012 it was only performed in 9 countries. Liver transplants from DCD have increased from 534 (0.73 pmp) in 2012 to 970 (1.30) in 2016. Increases over 100% were observed in France and Spain. There were decreases in Australia and Austria.There were 138 lung transplants from DCD in 2012 and 266 in 2016. Lung transplants from DCD are only performed in 9 countries. There have not been variations in pancreas transplants during the study period. There were 71 transplants in 2012 and 72 in 2016. Pancreas transplants from DCD were performed in 3 countries during 2016. Conclusion DCD and transplants from DCD vary amongst countries reporting to the Newsletter Transplant. There is a steady increase in DCD donation and transplantation taking into consideration all the data available.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.011
GPT teacher head0.245
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueTransplantationSame topicOrgan Donation and TransplantationFrench-language works237,207