<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ferreira JP</submitter><funding>British Heart Foundation</funding><funding>British Heart Foundation Centre of Research Excellence</funding><pagination>3655-3658</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9715817</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9(5)</volume><pubmed_abstract>&lt;h4>Aims&lt;/h4>Data on long-term treatment effects are scarce, despite the intent to use new therapies for many years and the need of patients, physicians and payers to have a better understanding of the lifetime benefits of treatments. The restricted mean or median survival time (RMST) calculated using age instead of time, hypothetically enables estimation of long-term gain in event-free or overall survival from the short-term (within-trial) effects of an intervention, compared with its control. Tha aim of the study is to use trials with long-term follow-up available through extension studies to compare the long-term projections estimated using RMST from within-trial follow-up data with the actual long-term outcomes in the extension studies.&lt;h4>Methods and results&lt;/h4>We estimated the median long-term survival time using age instead of follow-up time and compared these model-based projections with the actual long-term estimates in the (i) SCD-HeFT trial vs. SCD-HeFT long-term outcomes; (ii) SOLVD trial vs. SOLVD 12 year follow-up; (iii) STICH trial vs. STICHES; and (iv) ACCORD study vs. ACCORDION. In the long-term follow-up of SCD-HeFT, gain in survival with ICD vs. placebo over a median of 11.0 years was +1.4 years of life. The RMST model-derived survival projection from the within-trial data (median follow-up of 3.4 years) gave an estimated survival gain of +1.2 years. In STICHES, over a median follow-up of 9.8 years, coronary artery bypass grafting (CABG) vs. medical care led to a survival extension of +1.4 years in favour of CABG. RMST projections using within-trial data from STICH (median follow-up of 4.9 years), gave an extended survival of +2.4 years in favour of CABG in younger patients. In the long-term follow-up of SOLVD, enalapril vs. placebo led to a survival gain of +0.8 years over a median follow-up of 12.1 years. The RMST projections from the within-trial data (median follow-up of 2.8 years) gave a survival extension of +0.3 years in favour of enalapril. In the long-term follow-up ACCORDION study, with a median follow-up of 8.8 years, intensive vs. a standard anti-hyperglycaemic treatment did not influence long-term survival, which was concordant with the RMST projections from the short-term ACCORD study with median follow-up of 4.9 years.&lt;h4>Conclusions&lt;/h4>Age-based survival projections using within-trial data generally provided concordant results with the actual survival measured in long-term follow-up extension studies. Our findings suggest that age-based lifetime projections may be used as means to assess the long-term treatment effects.</pubmed_abstract><journal>ESC heart failure</journal><pubmed_title>Within trial comparison of survival time projections from short-term follow-up with long-term follow-up findings.</pubmed_title><pmcid>PMC9715817</pmcid><funding_grant_id>RE/18/6/34217</funding_grant_id><pubmed_authors>Ferreira JP</pubmed_authors><pubmed_authors>Jhund PS</pubmed_authors><pubmed_authors>McMurray JJV</pubmed_authors><pubmed_authors>Zannad F</pubmed_authors><pubmed_authors>Docherty KF</pubmed_authors><pubmed_authors>Solomon SD</pubmed_authors><pubmed_authors>Claggett BL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Within trial comparison of survival time projections from short-term follow-up with long-term follow-up findings.</name><description>&lt;h4>Aims&lt;/h4>Data on long-term treatment effects are scarce, despite the intent to use new therapies for many years and the need of patients, physicians and payers to have a better understanding of the lifetime benefits of treatments. The restricted mean or median survival time (RMST) calculated using age instead of time, hypothetically enables estimation of long-term gain in event-free or overall survival from the short-term (within-trial) effects of an intervention, compared with its control. Tha aim of the study is to use trials with long-term follow-up available through extension studies to compare the long-term projections estimated using RMST from within-trial follow-up data with the actual long-term outcomes in the extension studies.&lt;h4>Methods and results&lt;/h4>We estimated the median long-term survival time using age instead of follow-up time and compared these model-based projections with the actual long-term estimates in the (i) SCD-HeFT trial vs. SCD-HeFT long-term outcomes; (ii) SOLVD trial vs. SOLVD 12 year follow-up; (iii) STICH trial vs. STICHES; and (iv) ACCORD study vs. ACCORDION. In the long-term follow-up of SCD-HeFT, gain in survival with ICD vs. placebo over a median of 11.0 years was +1.4 years of life. The RMST model-derived survival projection from the within-trial data (median follow-up of 3.4 years) gave an estimated survival gain of +1.2 years. In STICHES, over a median follow-up of 9.8 years, coronary artery bypass grafting (CABG) vs. medical care led to a survival extension of +1.4 years in favour of CABG. RMST projections using within-trial data from STICH (median follow-up of 4.9 years), gave an extended survival of +2.4 years in favour of CABG in younger patients. In the long-term follow-up of SOLVD, enalapril vs. placebo led to a survival gain of +0.8 years over a median follow-up of 12.1 years. The RMST projections from the within-trial data (median follow-up of 2.8 years) gave a survival extension of +0.3 years in favour of enalapril. In the long-term follow-up ACCORDION study, with a median follow-up of 8.8 years, intensive vs. a standard anti-hyperglycaemic treatment did not influence long-term survival, which was concordant with the RMST projections from the short-term ACCORD study with median follow-up of 4.9 years.&lt;h4>Conclusions&lt;/h4>Age-based survival projections using within-trial data generally provided concordant results with the actual survival measured in long-term follow-up extension studies. Our findings suggest that age-based lifetime projections may be used as means to assess the long-term treatment effects.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-06-20T03:24:43.145Z</modification><creation>2025-04-19T23:07:40.387Z</creation></dates><accession>S-EPMC9715817</accession><cross_references><pubmed>35799450</pubmed><doi>10.1002/ehf2.13731</doi></cross_references></HashMap>