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Table 3 Data to extract from selected eligible full text

From: Predictive models of diabetes complications: protocol for a scoping review

1.Derivation and validation populationYear of study, country, sample size, date of recruitment, participation and attrition rates, mean age, gender, socioeconomic status, etc.
2.Study designProspective, retrospective, case-cohort, duration of follow-up
3.PredictorsSource of data, definitions, and measurement methods, variable categorization, time(s) predictors were measured, variation in time
4.Outcome eventsPrevalence, source of data, definition, measurement, blinded assessment or not
5.AnalysisPrognostic 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.ResultsName 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 limitationsSelection 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.InterpretationUtility of presented models, generalization of the findings