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Record W4412454388 · doi:10.1080/08037051.2025.2533456

Evaluation of race-free eGFR equations in individuals of different ethnicity

2025· article· en· W4412454388 on OpenAlex

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.

Bibliographic record

VenueBlood Pressure · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsHypertension Canada
FundersSchool of Medicine, Shanghai Jiao Tong UniversityVlaamse regeringMedical Research CouncilNewton FundSouth African Medical Research CouncilRuijin HospitalOmron HealthcareShanghai Jiao Tong UniversityFonds Wetenschappelijk OnderzoekGovernment of the United KingdomNational Research FoundationGlaxoSmithKline
KeywordsMedicineEthnic groupRace (biology)Internal medicineGender studiesAnthropology

Abstract

fetched live from OpenAlex

Background Glomerular filtration rate (eGFR) derived from serum creatinine (eGFRcr), cystatin C (eGFRcys), or both (eGFRcr-cys) by race-free equations are recommended staging chronic kidney disease (CKD). The current study aimed to compare these race-free eGFR equations for screening for low-grade CKD in Blacks and non-Blacks and to evaluate their association with mortality.Methods Race-free eGFR equations were evaluated in four studies with specific inclusion criteria based on the original research goals: African-PREDICT (341/380 healthy Black/White South Africans), FLEMENGHO (709 White community-dwelling Flemish), NHANES (1760/7931 Black and non-Black adult Americans), and 401 Black African patients hospitalised in Mbuji Mayi, Democratic Republic of Congo. The intraclass correlation coefficient and Bland and Altman statistics were used to assess consistency between eGFR equations and multivariable logistic or Cox regression to evaluate their association with mortality.Results Intraindividual discordance between eGFRs was larger in Black than non-Black NHANES and African-PREDICT participants. In NHANES, eGFRcr-cys was greater than eGFRcr, but smaller than eGFRcys, and replacing eGFRcr-cys by eGFRcr moved 25% Blacks and 15% non-Blacks to a higher (worse) eGFR KDIGO stage. In African-PREDICT and FLEMENGO, half of the measured creatinine clearance to eGFR ratios fell outside the expected 1.1-1.2 band. In NHANES, multivariable hazard ratios for total and cardiovascular mortality in relation to CKD grade were all lower than unity for grade-1 CKD and greater than unity for grade ≥3 (p < 0.0001) without any racial difference (0.11 ≤ p ≤ 0.98). These NHANES findings were consistent, if CKD stage was replaced by eGFR and in subgroup analyses. Whereas eGFRcys and eGFRcr-cys refined models, eGFRcr did not.Conclusions The NHANES mortality outcomes support the use of eGFRcys and eGFRcr-cys. However, large intraindividual variability between eGFR estimates may lead to KDIGO eGFR stage misclassification and calls for caution in the opportunistic or systematic screening for CKD in asymptomatic individuals with prevention as objective.

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)0.002
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 score0.049
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0000.000

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 head0.327
Teacher spread0.296 · 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