Dataset Information

The Clinical Trials Gap for Adolescents and Young Adults with Cancer: Recent Progress and Conceptual Framework for Continued Research.

ABSTRACT: Over the past 30 years, adolescents and young adults (AYA, 15-39 years of age) with cancer have shown significantly less improvement in survival than younger and older patients. Because evidence suggests this may be related to their low participation in cancer clinical trials, increasing accrual to these trials has become a priority for closing this "AYA gap." This paper reviews data documenting low AYA enrollment, presents a conceptual framework for research and intervention (Clinical Trials Pathway to Enrollment) and summarizes recent developments in the United States National Cancer Institute-sponsored clinical trials enterprise that are expected to improve AYA enrollment, including the National Clinical Trials Network (NCTN) and expanded scientific collaboration between the Children's Oncology Group and adult NCTN groups. While time will be required for the effects of these changes to be fully realized, they offer a mechanism for facilitating the breadth of clinical/translational research needed for advancing AYA oncology and measuring its impact.

SUBMITTER: Freyer DR

PROVIDER: S-EPMC6319956 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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The Clinical Trials Gap for Adolescents and Young Adults with Cancer: Recent Progress and Conceptual Framework for Continued Research.

Freyer David R DR Seibel Nita L NL

Current pediatrics reports 20150218 2

Over the past 30 years, adolescents and young adults (AYA, 15-39 years of age) with cancer have shown significantly less improvement in survival than younger and older patients. Because evidence suggests this may be related to their low participation in cancer clinical trials, increasing accrual to these trials has become a priority for closing this "AYA gap." This paper reviews data documenting low AYA enrollment, presents a conceptual framework for research and intervention (Clinical Trials Pa ...[more]

PMID: 30613438

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Project description:BACKGROUND:Prognostic research has many important purposes, including (i) describing the natural history and clinical course of health conditions, (ii) investigating variables associated with health outcomes of interest, (iii) estimating an individual's probability of developing different outcomes, (iv) investigating the clinical application of prediction models, and (v) investigating determinants of recovery that can inform the development of interventions to improve patient outcomes. But much prognostic research has been poorly conducted and interpreted, indicating that a number of conceptual areas are often misunderstood. Recent initiatives to improve this include the Prognosis Research Strategy (PROGRESS) and the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) Statement. In this paper, we aim to show how different categories of prognostic research relate to each other, to differentiate exploratory and confirmatory studies, discuss moderators and mediators, and to show how important it is to understand study designs and the differences between prediction and causation. MAIN TEXT:We propose that there are four main objectives of prognostic studies - description, association, prediction and causation. By causation, we mean the effect of prediction and decision rules on outcomes as determined by intervention studies and the investigation of whether a prognostic factor is a determinant of outcome (on the causal pathway). These either fall under the umbrella of exploratory (description, association, and prediction model development) or confirmatory (prediction model external validation and investigation of causation). Including considerations of causation within a prognostic framework provides a more comprehensive roadmap of how different types of studies conceptually relate to each other, and better clarity about appropriate model performance measures and the inferences that can be drawn from different types of prognostic studies. We also propose definitions of 'candidate prognostic factors', 'prognostic factors', 'prognostic determinants (causal)' and 'prognostic markers (non-causal)'. Furthermore, we address common conceptual misunderstandings related to study design, analysis, and interpretation of multivariable models from the perspectives of association, prediction and causation. CONCLUSION:This paper uses a framework to clarify some concepts in prognostic research that remain poorly understood and implemented, to stimulate discussion about how prognostic studies can be strengthened and appropriately interpreted.

Dataset Information

The Clinical Trials Gap for Adolescents and Young Adults with Cancer: Recent Progress and Conceptual Framework for Continued Research.

Publications

The Clinical Trials Gap for Adolescents and Young Adults with Cancer: Recent Progress and Conceptual Framework for Continued Research.

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