Association of early postoperative mobilization with length of hospital stay and postoperative complications after abdominal surgery: a patient-level cohort analysis

What this example demonstrates

• Compares baseline characteristics with Mann–Whitney U, chi-square tests, and standardized mean differences; adjusts Charlson imbalance in all models.
• Primary outcome (length of stay): Welch t-test, Cohen’s d with 95% CI, multiple linear regression with HC3 robust SE sensitivity analyses.
• Secondary outcome (complications): chi-square, logistic regression with OR and 95% CI, ROC/AUC with bootstrap CI, Hosmer–Lemeshow calibration.
• APA-style reporting of test statistics, regression coefficients, and clinical effect sizes in tables.
• Includes STROBE-oriented methods text and subgroup interaction checks by ASA class and age.

First pages preview

How this paper was generated

1. 1

   Upload simulated clinical CSV

   A 320-patient simulated perioperative dataset (mobilization exposure, LOS, complications, covariates) was uploaded to Generate Paper.

2. 2

   Pipeline analysis and write-up

   The workflow ran distributional checks, group comparisons, adjusted linear and logistic models, and ROC diagnostics, then drafted the full manuscript (~9 minutes).

3. 3

   Download the PDF

   This 15-page PDF is the raw AI export for structure and statistical reporting reference.