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Paste participant-level data and get a formatted baseline characteristics table (Table 1) by study group, with mean (SD) or median [IQR], n (%) for categories, and optional p-values. Copy it straight into Word.
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| Characteristic | Overall (n = 120) | Control (n = 60) | Intervention (n = 60) |
|---|---|---|---|
| age, mean (SD) | 58.3 (8.6) | 59.2 (8.6) | 57.3 (8.5) |
| sex, n (%) | |||
| Female | 58 (48.3) | 29 (48.3) | 29 (48.3) |
| Male | 62 (51.7) | 31 (51.7) | 31 (51.7) |
| bmi, mean (SD) | 28.0 (3.7) | 28.0 (3.8) | 27.9 (3.6) |
| smoker, n (%) | |||
| No | 87 (72.5) | 43 (71.7) | 44 (73.3) |
| Yes | 33 (27.5) | 17 (28.3) | 16 (26.7) |
| sbp, mean (SD) | 124.5 (11.1) | 127.9 (8.6) | 121.2 (12.2) |
| event, n (%) | |||
| 0 | 73 (60.8) | 34 (56.7) | 39 (65.0) |
| 1 | 47 (39.2) | 26 (43.3) | 21 (35.0) |
One row per participant, including a group column.
Pick mean (SD) or median [IQR] for continuous variables.
Paste into Word as a formatted table, or download a CSV.
Table 1 describes the baseline demographic and clinical characteristics of each study group. Both CONSORT (for randomized trials) and STROBE (for observational studies) ask authors to report these characteristics.
Use mean (SD) for roughly symmetric continuous variables and median [IQR] for skewed ones, and number (%) for categories. Report missing data.
In randomized trials, the CONSORT explanation calls significance tests of baseline differences superfluous, because any differences between randomized groups are due to chance. p-values are hidden by default for that reason; you can show them for observational comparisons.
Generally no. CONSORT explains that such tests are superfluous in randomized trials; describe the groups instead.
No. Everything is calculated in your browser, so it is safe for confidential data.