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Record W2791260474 · doi:10.1053/j.ajkd.2018.01.036

Duration of Living Kidney Transplant Donor Evaluations: Findings From 2 Multicenter Cohort Studies

2018· article· en· W2791260474 on OpenAlexafffundabout
Steven Habbous, Jennifer Arnold, Mehmet A. Begen, Neil Boudville, Matthew Cooper, Christine Dipchand, Stephanie N. Dixon, Liane S. Feldman, Dariusz Goździk, Martin Karpinski, Scott Klarenbach, Greg Knoll, Ngan N. Lam, Krista L. Lentine, Charmaine E. Lok, Eric McArthur, Susan McKenzie, Matthew S. Miller, Mauricio Monroy‐Cuadros, Chris Nguan, Sebastian Przech, Sisira Sarma, Dorry L. Segev, Leroy Storsley, Amit X. Garg, Darin Treleavan, Charmine Lok, Ann Bugeja, Ann Young, Jessica M. Sontrop

Bibliographic record

VenueAmerican Journal of Kidney Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsSt. Michael's HospitalVancouver General HospitalFoothills Medical CentreSt. Joseph’s Healthcare HamiltonHealth Sciences CentreUniversity Health NetworkOttawa HospitalKidney Foundation of CanadaInstitute for Clinical Evaluative SciencesMcGill University Health CentreUniversity of AlbertaQueen Elizabeth II Health Sciences CentreLondon Health Sciences CentreWestern University
FundersCanadian Institutes of Health Research
KeywordsMedicineCohortCohort studyMulticenter studyKidney transplantationDuration (music)Internal medicineIntensive care medicineTransplantationRandomized controlled trial

Abstract

fetched live from OpenAlex

BackgroundA prolonged living kidney donor evaluation may result in worse outcomes for transplant recipients. Better knowledge of the duration of this process may help inform future donors and identify opportunities for improvement.Study Design1 prospective and 1 retrospective cohort study.Setting & ParticipantsAt 16 Canadian and Australian transplantation centers (prospective cohort) and 5 Ontario transplantation centers (retrospective cohort), we assessed the duration of living kidney donor evaluation and explored donor, recipient, and transplantation factors associated with longer evaluation times. Data were obtained from 2 sources: donor medical records using chart abstraction and health care administrative databases.PredictorsDonor and recipient demographics, direct versus paired donation, center-level variables.OutcomesDuration of living donor evaluation.ResultsThe median total duration of transplantation evaluation (time from when the candidate started the evaluation until donation) was 10.3 (IQR, 6.5-16.7) months. The median duration from evaluation start until approval to donate was 7.9 (IQR, 4.6-14.1) months, and from approval until donation was 0.7 (IQR, 0.3-2.4) months, respectively. The median time between the first and last consultation among donors who completed a nephrology, surgery, and psychosocial assessment in the prospective cohort was 3.0 (IQR, 1.0-6.3) months, and between computed tomography angiography and donation was 4.8 (IQR, 2.6-9.2) months. After adjustment, the total duration of transplantation evaluation was longer if the donor participated in paired donation (6.6 [95% CI, 1.6-9.7] months) and if the recipient was referred later relative to the donor’s evaluation start date (0.9 [95% CI, 0.8-1.0] months [per month of delayed referral]). Results depended on whether the recipient was receiving dialysis.LimitationsLiving donor candidates who did not donate were not included and proxy measures were used for some dates in the donor evaluation process.ConclusionsThe duration of kidney transplant donor evaluation is variable and can be lengthy. Better understanding of the reasons for a prolonged evaluation may inform quality improvement initiatives to reduce unnecessary delays. A prolonged living kidney donor evaluation may result in worse outcomes for transplant recipients. Better knowledge of the duration of this process may help inform future donors and identify opportunities for improvement. 1 prospective and 1 retrospective cohort study. At 16 Canadian and Australian transplantation centers (prospective cohort) and 5 Ontario transplantation centers (retrospective cohort), we assessed the duration of living kidney donor evaluation and explored donor, recipient, and transplantation factors associated with longer evaluation times. Data were obtained from 2 sources: donor medical records using chart abstraction and health care administrative databases. Donor and recipient demographics, direct versus paired donation, center-level variables. Duration of living donor evaluation. The median total duration of transplantation evaluation (time from when the candidate started the evaluation until donation) was 10.3 (IQR, 6.5-16.7) months. The median duration from evaluation start until approval to donate was 7.9 (IQR, 4.6-14.1) months, and from approval until donation was 0.7 (IQR, 0.3-2.4) months, respectively. The median time between the first and last consultation among donors who completed a nephrology, surgery, and psychosocial assessment in the prospective cohort was 3.0 (IQR, 1.0-6.3) months, and between computed tomography angiography and donation was 4.8 (IQR, 2.6-9.2) months. After adjustment, the total duration of transplantation evaluation was longer if the donor participated in paired donation (6.6 [95% CI, 1.6-9.7] months) and if the recipient was referred later relative to the donor’s evaluation start date (0.9 [95% CI, 0.8-1.0] months [per month of delayed referral]). Results depended on whether the recipient was receiving dialysis. Living donor candidates who did not donate were not included and proxy measures were used for some dates in the donor evaluation process. The duration of kidney transplant donor evaluation is variable and can be lengthy. Better understanding of the reasons for a prolonged evaluation may inform quality improvement initiatives to reduce unnecessary delays.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.322
Teacher spread0.306 · 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 teacher head, 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".

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Citations54
Published2018
Admission routes3
Has abstractyes

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