Model Development

How it works

Where it comes from

Highlighted claims

• The scoring method converts each pooled relative risk to beta using the natural logarithm, multiplies by 10, and rounds to an integer. — Development and real-world cohort validation of a meta-analysis-derived simplified scoring model for cardiac resynchronisation therapy response: a study protocol
• Predictors will be prioritised by frequency in independent studies, pooled relative risk magnitude, and guideline-endorsed clinical accessibility. — Development and real-world cohort validation of a meta-analysis-derived simplified scoring model for cardiac resynchronisation therapy response: a study protocol
• Predictors associated with response receive positive scores when relative risk is above 1, while risk factors below 1 receive negative scores. — Development and real-world cohort validation of a meta-analysis-derived simplified scoring model for cardiac resynchronisation therapy response: a study protocol
• Candidate predictors will be drawn from meta-analysis findings and supported by subgroup and sensitivity analyses. — Development and real-world cohort validation of a meta-analysis-derived simplified scoring model for cardiac resynchronisation therapy response: a study protocol
• The protocol will develop nested models A through K, adding predictors sequentially from simpler to more complex models. — Development and real-world cohort validation of a meta-analysis-derived simplified scoring model for cardiac resynchronisation therapy response: a study protocol