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Record W4397046840 · doi:10.1681/asn.20223311s1829b

Long-Term Outcomes for Living Kidney Donors With Early Guideline-Concordant Follow-Up Care

2022· article· en· W4397046840 on OpenAlexaffabout
Anisha Dhalla, Anita Lloyd, Krista L. Lentine, Amit X. Garg, Robert R. Quinn, Pietro Ravani, Scott Klarenbach, Brenda R. Hemmelgarn, Ngan N. Lam

Bibliographic record

VenueJournal of the American Society of Nephrology · 2022
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsWestern UniversityUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineGuidelineTerm (time)Intensive care medicineLong-term carePediatricsInternal medicineNursingPathology

Abstract

fetched live from OpenAlex

Background: Current guidelines recommend that living kidney donors receive lifelong annual follow-up care. In the United States, the reporting of complete clinical and laboratory data for kidney donors has been mandated for the first two years post-donation to improve adherence with follow-up; however, the long-term impact of early guideline-concordant care remains unclear. Methods: We conducted a retrospective, population-based cohort study using linked healthcare databases in Alberta, Canada to compare long-term post-donation follow-up care and clinical outcomes of living kidney donors with and without early guideline-concordant care. The primary outcome was receipt of continued follow-up at 5 and 10 years after donation as defined by annual physician visits, serum creatinine, and albuminuria measurements (adjusted odds ratio with lower and upper 95% confidence limits, LCLaORUCL). Results: Of the 460 donors included in the study, 187 (41%) had clinical and laboratory evidence of guideline-concordant follow-up care throughout the first two years post-donation. The odds of receiving annual follow-up for donors without early guideline-concordant care were 76% lower at 5 years (aOR 0.180.240.32) and 68% lower at 10 years (aOR 0.230.320.46) compared to donors with early care. The odds of continuing follow-up remained stable over time for both groups. Early guideline-concordant follow-up care did not substantially influence estimated glomerular filtration rate (eGFR) or hospitalization rates over the longer term. Conclusions: Although policies directed towards improving early donor follow-up may encourage continued follow-up, additional strategies may be necessary to mitigate lifetime donor risks. Funding: Government Support - Non-U.S.Proportion of living kidney donors with 3 markers of follow-up care (physician visit, serum creatinine and albuminuria measurement) during each post-donation year stratified by those with and without early guideline-concordant care (EGCC).

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)0.003
metaresearch head score (Gemma)0.010
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.293
Teacher spread0.277 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

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