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Record W2150785210 · doi:10.1093/ndt/16.5.1042

Screening for renal disease using serum creatinine: who are we missing?

2001· article· en· W2150785210 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

VenueNephrology Dialysis Transplantation · 2001
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicineRenal functionCreatinineConcordanceKidney diseaseUrologyInternal medicineReferral

Abstract

fetched live from OpenAlex

BACKGROUND: Appropriate management and timely referral of patients with early renal disease often depend on the identification of renal insufficiency by primary care physicians. Serum creatinine (SCr) levels are frequently used as a screening test for renal dysfunction; however, patients can have significantly decreased glomerular filtration rates (GFR) with normal range SCr values, making the recognition of renal dysfunction more difficult. This study was designed to estimate the prevalence of patients who have significantly reduced GFR as calculated by the Cockcroft-Gault (C-G) formula, but normal-range SCR: METHODS: The study included 2781 outpatients referred by community physicians to an urban laboratory network for SCr measurement. GFR was estimated using the C-G formula. Patients were grouped according to the concordance of SCr level abnormalities (abnormal >130 micromol/l) with significantly abnormal C-G values (abnormal </=50 ml/min). The C-G value of < or =50 ml/min was chosen to reflect substantial renal impairment in all age groups. A further analysis of historical laboratory data was undertaken to determine if there were previously documented changes in renal function parameters in those patients who had overt renal dysfunction during the study period. RESULTS: Of the 2781 outpatients referred, 2543 (91.4%) had normal SCr levels. Of these patients, 387/2543 (15.2%) had C-G calculated GFR < or =50 ml/min, representing substantially impaired renal function. Among patients with normal SCr, abnormal C-G values were identified in 47.3% > or =70 years old, 12.6% 60-69 years old, and 1.2% 40-59 years old. Analysis of historical available laboratory data for patients with abnormal SCr and abnormal C-G values showed that 2 years prior to the study period, 72% of this group had abnormal SCr, while 18% had normal SCr with abnormal C-G values, and 10% had normal SCr with normal C-G values. CONCLUSIONS: This study documents the substantial prevalence of significantly abnormal renal function among patients identified by laboratories as having normal-range SCR: Including calculated estimates of GFR in routine laboratory reporting may help to facilitate the early identification of patients with renal impairment.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.226
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.056
GPT teacher head0.351
Teacher spread0.295 · 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