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Record W4389312259 · doi:10.1016/j.xkme.2023.100767

Risk Factors for Developing Low Estimated Glomerular Filtration Rate and Albuminuria in Living Kidney Donors

2023· article· en· W4389312259 on OpenAlex
Anisha Dhalla, Pietro Ravani, Robert R. Quinn, Amit X. Garg, Alix Clarke, Huda Al‐Wahsh, Krista L. Lentine, Scott Klarenbach, Brenda R. Hemmelgarn, Carol Wang, Ngan N. Lam

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueKidney Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsWestern UniversityUniversity of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health ResearchNational Nuclear LaboratoryAlberta Health Services
KeywordsAlbuminuriaMedicineRenal functionHazard ratioKidney diseaseUrologyPopulationIncidence (geometry)NephrectomyInternal medicineConfidence intervalProportional hazards modelRetrospective cohort studyKidneySurgery

Abstract

fetched live from OpenAlex

Rationale & ObjectiveChronic kidney disease is associated with significant morbidity and mortality in the general population, but little is known about the incidence and risk factors associated with developing low eGFR and moderate-severe albuminuria in living kidney donors following nephrectomy.Study DesignRetrospective, population-based cohort study.Setting& Participants: Kidney donors in Alberta, Canada.ExposureDonor nephrectomy between May 2001 and December 2017.Outcome2 estimated glomerular filtration rate (eGFR) measurements <45 mL/min/1.73 m2 or 2 measurements of moderate or severe albuminuria from one-year post-donation onwards that were at least 90 days apart.Analytical ApproachAssociations between potential risk factors and the primary outcome were assessed using Cox proportional hazard regression analyses.ResultsOver a median follow-up period of 8.6 years (interquartile range [IQR]: 4.7-12.6 years), 47 of 590 donors (8.0%) developed sustained low eGFR or moderate-severe albuminuria, with an incidence rate of 9.2 per 1000 person-years (95% confidence interval: 6.6-11.8). The median time for development of this outcome beyond the first year after nephrectomy was 2.9 years (IQR: 1.4-8.0 years). Within the first four years of follow-up, a 5 mL/min/1.73 m2 lower pre-donation eGFR increased the hazard of developing post-donation low eGFR or moderate-severe albuminuria by 26% (aHR, 1.26; 95% CI, 1.10-1.44). Furthermore, donors were at higher risk of developing low eGFR or albuminuria if they had evidence of pre-donation hypertension (aHR, 2.52; 95% CI, 1.28-4.96) or post-donation diabetes (aHR, 4.72; 95% CI, 1.54-14.50).LimitationsWe lacked data on certain donor characteristics that may impact long-term kidney function such as race, smoking history, and transplant-related characteristics.ConclusionsA proportion of kidney donors, at an incidence rate of 9.2 per 1,000 person-years, will develop low eGFR or albuminuria after donation. Donors with lower pre-donation eGFR, pre-donation hypertension, and post-donation diabetes are at increased risk of developing this outcome.

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.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.120
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.307
Teacher spread0.276 · 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