From: Implementation of the trial emulation approach in medical research: a scoping review
Questions | Possible categories |
---|---|
Subject area | |
 What is the study’s subject area? | Cardiology, Oncology, Psychiatry, Neurology, etc. |
Data type | |
 Were EHRs or EMRs data used? | Yes or no. |
 If not, what type of data were used? | Cohort study data, Patient registry data, etc. |
 Specify the name of the observational database. | Free text. |
Data structure | |
 Were structured data used? | Yes or no. |
 Were unstructured data used? | Yes or no. |
 If unstructured data were used, were these manually or automatically processed? | Manually or automatically. |
Eligibility criteria | |
 What is the target population? | Free text. |
Treatments | |
 How many treatments were compared? | Number of treatments. |
 What treatments were compared? | Free text. |
Outcomes | |
 What was(were) the primary outcome(s)? | Free text. |
Follow-up | |
 Was the follow-up duration pre-specified? | Yes or no. |
Statistical objectives | |
 What is the estimand of interest? | Causal effect of point treatment offer (‘intention-to-treat effect’), causal effect of point treatment receipt (‘per-protocol effect’), causal effect of treatment regimen initiation (‘intention-to-treat effect’) or causal effect of sustained treatment regimen (‘per-protocol effect’). |
 What was the measurement scale of the outcome(s)? | Continuous, ordinal, binary, time-to-event, other. |
 Which effect size measure was used to quantify the causal contrast of interest? | Mean difference, odds ratio, hazard ratio, other. |
 Which statistical method was used for analysing the primary outcome(s)? | Pooled logistic regression, Cox proportional hazards model, etc. |
 Were sample size or statistical power calculations provided? | Yes or no. |
 If yes, what was determined? | Power or the effect size. |
Treatment assignment procedures | |
 Were treatments administered at one point in time or sustained over time? | Point treatment or treatment regimen. |
 In either case have pre-initiation confounders been adjusted for? | Yes or no. |
 If the answer to the last question is ‘yes’, what statistical method has been used for this purpose? | Inclusion of covariates in model, stratification, inverse probability of treatment weighting, propensity score methods, parametric g-formula, other, method not specified. |
 If treatment regimen, are the investigators interested in the effect of initiating a treatment or the effect of sustaining a treatment? | Initiation or sustained treatment. |
 If interested in the effect of a sustained treatment, did they account for time-varying confounders? | Yes or no. |
 If the answer to the last question is ‘yes’, what statistical method has been used for this purpose? | Inverse probability of treatment weighting, parametric g-formula, other, method not specified. |
Other bias handling | |
 Was immortal-time bias addressed? | Yes or no. |
 If yes, how was immortal-time bias handled? | Avoided at the study design stage or using the cloning technique. |
 Was selection bias due to loss to follow-up addressed explicitly? | Yes or no. |
 If so, how were missing outcome data handled? | Inverse probability of censoring weighting, multiple imputation, etc. |