← All examples
Table 1 — Patient Characteristics
Dataset
NHANES sample — 200 rows · 9 variables
Analysis
Table 1 summarising demographics and clinical markers by diabetes status (Yes / No). Variables: age, sex, BMI, systolic BP, diastolic BP, glucose, cholesterol, smoking.
Output preview
| Characteristic | No diabetes (n=187) | Diabetes (n=125) | p |
|---|---|---|---|
| Age (years) | 48.2 ± 11.4 | 57.9 ± 12.1 | 0.003 |
| Male sex, n (%) | 112 (59.9%) | 75 (60.0%) | 0.43 |
| BMI (kg/m²) | 26.1 ± 4.0 | 29.2 ± 5.1 | 0.012 |
| Systolic BP | 122 ± 16 | 131 ± 18 | 0.041 |
| Glucose (mg/dL) | 94.3 ± 9.8 | 148.2 ± 31.4 | <0.001 |
| HbA1c (%) | 5.5 ± 0.4 | 7.8 ± 1.3 | <0.001 |
| Smoking, n (%) | 54 (28.9%) | 38 (30.4%) | 0.76 |
All data shown is fully synthetic and for demonstration purposes only.
Example AI interpretation
Table 1 shows a significant difference in age (p = 0.003), HbA1c (p < 0.001), and BMI (p = 0.012) between participants with and without diabetes. Sex distribution did not differ significantly (p = 0.43). These findings suggest that metabolic markers are more strongly associated with diabetes status than demographic variables in this cohort.
Export options
Copy for WordDownload PDFExport data