MétaCan
Menu
Back to cohort

Need for a Registry of Living Kidney Donor Outcomes

2006· letter· en· W1974054541 on OpenAlexaffabout
G. V. Ramesh Prasad, Amit X. Garg

Bibliographic record

VenueTransplantation · 2006
Typeletter
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsWestern UniversitySt. Michael's HospitalLondon Health Sciences CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineNephrectomyKidney diseaseDonationIntensive care medicineRenal functionDiseaseKidney transplantationProteinuriaKidneyTransplantationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

We read with interest the proposal by Tan et al. (1) for a live donor nephrectomy complications classification scheme, which they suggest be used as a template for the development of a national or international registry of donor outcomes. With the increasing dependence upon live donors as a source of organs for patients with end-stage renal disease, this initiative is both timely and imperative. The short-term complications of kidney donation including intraoperative and early postoperative adverse events have been relatively well-documented, and form the majority of data for collection in the proposed scheme (1). As correctly pointed out, these data are critical both for setting quality benchmarks and evaluating new techniques such as laparoscopic nephrectomy. For obvious reasons, these data are relatively simple to gather because of the existence of a relationship between the surgical provider and the donor when they occur. The long-term complications of kidney donation are, however, less clear; data are much more difficult to collect since the relationship between the transplant service provider and the donor is often lost. These potential complications are underrepresented in the proposed scheme (1). Any new registry that is developed should also include, at minimum, a provision for the collection of information on all-cause mortality, cardiovascular disease, blood pressure change and the development of hypertension, level of renal function and the occurrence of chronic kidney disease, and development of proteinuria. This information may be collected even without the occurrence of an obvious intra- or postoperative complication, emphasized in the scheme proposed by Tan et al. Other items of interest might include the development of diabetes mellitus, as well as psychosocial and economic implications of donation (2). Counseling of potential kidney donors is currently limited by the availability of predominantly retrospective studies using nonideal controls with incomplete follow-up (3) along with lack of information on the true occurrence rate of these long-term events, and therefore requires the collection of data similar in quality to that of surgical complication rates. If we are to take donor nephrectomy outcomes forward, it is important that in a future national or international living kidney donor registry the collection of information on long-term medical complications of donation receives equal emphasis. However, the cost and sustainability—as well as methodological, legal, and ethical considerations—of such an initiative remain a challenge, and require due creative solutions. G. V. Ramesh Prasad Division of Nephrology St. Michael's Hospital University of Toronto Toronto, Ontario, Canada Amit X. Garg Division of Nephrology London Health Sciences Centre University of Western Ontario London, Ontario, Canada

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)0.083
metaresearch head score (Gemma)0.198
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.083
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0830.198
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0110.009
Science and technology studies0.0020.002
Scholarly communication0.0070.023
Open science0.0070.009
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0160.007

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 head0.016
GPT teacher head0.267
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueTransplantationSame topicOrgan Donation and TransplantationFrench-language works237,207