CKD GENERAL AND CLINICAL EPIDEMIOLOGY 2
Bibliographic record
Abstract
Introduction and Aims: \nChronic kidney disease (CKD) and renal replacement therapy are both associated with significant mortality and morbidity. Co-existing comorbidity is common. The degree to which the increased morbidity and mortality is a result of the CKD, and how much a result of the co-existing comorbidity is less clear. We aimed to describe the range of comorbidity at baseline in a population cohort containing all identified within a healthcare region with CKD, those on RRT and a sample of 20,000 individuals from the same population with normal renal function. \n \nMethods: The GLOMMS-II cohort contained all individuals with a low eGFR (<60) ml/min/1.73m2 measured in our healthcare region in 2003 (in 2/3 of these with “CKD” the low eGFR was present for at least 90 days, in 1/3 with “impaired eGFR” it was not present for at least 90 days); all those with raised PCR and ACR; all those receiving RRT and a 20,000 sample of those with only normal eGFR measurements in 2003. Data-linkage to hospital episode statistics in the five years prior gave information on comorbidity in 2003. The prevalence of common comorbidities in the subgroups of the cohort is described. The odds of having each comorbidity at baseline with adjustment for age and sex are presented. \n \nResults: The prevalence of most comorbidities was higher in those with more advanced CKD (including RRT, as table). After correction for age and sex, vascular comorbidity, diabetes and haematological malignancy continued to be strongly associated with more advanced CKD. The association for other comorbidities was less marked, particularly for dementia. Impaired eGFR was also associated with many of these comorbidities \n \nConclusions: More advanced CKD was strongly associated with vascular comorbidity and diabetes even after correction for age. This association may in part be due to the role of these comorbidities in the aetiology of CKD, as well as a consequence. In the assessment of outcomes in CKD, the effect of these comorbidities on outcome over and above that of CKD itself should be investigated further.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".