Table 3 Data to extract from selected eligible full text
From: Predictive models of diabetes complications: protocol for a scoping review
Description | Items | |
|---|---|---|
1. | Derivation and validation population | Year of study, country, sample size, date of recruitment, participation and attrition rates, mean age, gender, socioeconomic status, etc. |
2. | Study design | Prospective, retrospective, case-cohort, duration of follow-up |
3. | Predictors | Source of data, definitions, and measurement methods, variable categorization, time(s) predictors were measured, variation in time |
4. | Outcome events | Prevalence, source of data, definition, measurement, blinded assessment or not |
5. | Analysis | Prognostic prediction model, modeling method, list and selection of predictors candidates, treatment of missing data and losses at follow-up, sensitivity analyses, stratified analyses, interaction tests, model performance, etc. |
6. | Results | Name of each outcome, frequency estimates of outcomes, estimates with confidence intervals or p values for each prediction model by predictors and by diabetes-related complications, alternative presentation of the models |
7. | Potential limitations | Selection bias (percentage participation at baseline and at follow-up, missing data), information bias (measurement of exposure and/or outcome), lack of power, statistics of the performance of the model (validation, calibration, discrimination |
8. | Interpretation | Utility of presented models, generalization of the findings |