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Table 2 VICORT criteria definition and relation to other epidemiological concepts

From: Appraising clinical applicability of studies: mapping and synthesis of current frameworks, and proposal of the FrACAS framework and VICORT checklist

VICORT Criteria

Definition

Related criteria from

literature synthesis

Relation to other epidemiological frameworks or concepts

Validity

Methods are appropriate for internal validity of results:

∙ Experimental evidence generated is not subject to randomization, blinding, protocol deviation, missing data, or measurement issues.

∙ Observational evidence generated is not subject to confounding, information, and endogenous selection biases.

Confounding

Consistency of results

Dose-response gradient

Precision

Reporting bias

Risk of bias

Strength and level of evidence

Quality assessment tools, e.g.,

- Cochrane risk-of-bias tool [7]

- Risk of bias in non-randomised Studies of Interventions) [6]

- Newcastle-Ottawa Scale [58]

Indication-informativeness

Study methods provide clinicians with evidence to determine a clinical indication in specific individuals. Informativeness for a clinical indication requires a well-defined intervention whose effect can be identified from the study results, i.e.:

1. A trial of an intervention (experimental study) in specific/eligible individuals; OR

2. An observational study of an exposure where:

A) A well-defined intervention for specific individuals (those with the exposure) exists, AND

B) That the effect of this well-defined intervention be correctly identified (independent effect of the intervention); OR

3. An observational study where there is an intervention on specific individuals and where absolute results for outcomes are explicitly reported. (informativeness for the outcome of an intervention criterion – allows contrast between intervention in specific individuals and envisioned natural history under no intervention in those individuals).

None

Counterfactuals [59, 60]

Well-defined intervention, consistency assumption of causal inference [26, 61]

Clinical relevance

Primary outcome of the study is clinically relevant, i.e., the outcome is at a minimum clinically informative, and ideally, patient centered.

Directness

Relevance of outcomes

Surrogate outcomes [62]

Overdiagnosis [63]

Patient-centered outcomes research [13]

Originality

Significance. Study results achieve clinical (not only statistical) significance (e.g., a relevant magnitude of effect); AND

Novelty. Study results are novel when compared to current evidence base and practice.

Comparison intervention

Intervention characteristics

Magnitude (effect size) and trade-offs of harms and benefits

Clinical vs sole statistical significance

Dichotomization vs magnitude of effect and confidence intervals [64, 65]

Risk-benefit comprehensiveness

Overall benefits of changing an indication (either the intervention or the population of individuals in which the intervention is indicated) comprehensively outweigh the risks.

Magnitude and trade-offs of harms and benefits

Net benefit - Generic health state measures

Relative vs absolute measures [66, 67]

Transposability

The clinical indication/intervention is implementable and (cost-) effective in the specific practice setting.

Acceptability and feasibility

Context and resources for application

Cost and cost-effectiveness

Equity and ethics

Monitoring/audit and support tools

Representativeness of patients and populations

Scope of practice and actions

Sustainability

Values, beliefs, preferences priority

Generalizability and transportability [14, 22, 64]

Cost-effectiveness analysis [21]