PROFILE OF DIABETIC NEPHROPATHY PATIENTS AT WALED GENERAL HOSPITAL, CIREBON DISTRICT, INDONESIA: HIGH PREVALENCE IN PRODUCTIVE AGE GROUP, FEMALE AND HOUSEWIVES
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.
Bibliographic record
Abstract
Objective: Diabetes Mellitus (DM) is a metabolic disease characterized by hyperglycemia due to insufficiency of insulin function. One of the complications caused by DM is Diabetic Nephropathy. This study aims to determine the profile of diabetic nephropathy patients at Waled General Hospital, Cirebon Regency, Indonesia. Methods: A descriptive observational study was conducted at Waled General Hospital, Cirebon Regency, Indonesia. All patients diagnosed with diabetic nephropathy at Internal Medicine Polyclinic from January 2018 to December 2021 were recruited. The inclusion criteria were adult diabetic nephropathy patients (aged >17 years). Results: There were 58 patients recruited into the sample, consisting of 37.9% male and 62.1% female. The majority of the sample were aged 55-64 years (44.8%) and housewives (60.3%). We also found that 87.9% of sample were productive age group (<65 years). A total of 79.4% sample had hypertension stage 1 and 2. Based on body mass index (BMI), it was found that 15.5% of the sample were overweight and 10.3% were obese. More than half (51.7%) had Random Blood Glucose (RBG) 200-300 mg/dL and about 32.8% had RBG >300 mg/dL. Conclusion: It can be concluded that diabetic nephropathy is mostly suffered productive age group <65 years, female, housewives, uncontrolled hypertension, lipid and blood glucose. Efforts to prevent DM and diabetic nephropathy need to be carried out in productive age groups, female and housewives by avoiding sedentary lifestyle, maintaining ideal body weight, preventing hypertension, dyslipidemia and optimal blood gulcose control.
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 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 it