Skip to main content

Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology.

Publication ,  Journal Article
Deverka, P; Messner, DA; McCormack, R; Lyman, GH; Piper, M; Bradley, L; Parkinson, D; Nelson, D; McLeod, HL; Smith, ML; Jacques, L; Dutta, T ...
Published in: Genet Med
August 2016

PURPOSE: Enthusiasm for molecular diagnostic (MDx) testing in oncology is constrained by the gaps in required evidence regarding its impact on patient outcomes (clinical utility (CU)). This effectiveness guidance document proposes recommendations for the design and evaluation of studies intended to reflect the evidence expectations of payers, while also reflecting information needs of patients and clinicians. METHODS: Our process included literature reviews and key informant interviews followed by iterative virtual and in-person consultation with an expert technical working group and an advisory group comprising life-sciences industry experts, public and private payers, patients, clinicians, regulators, researchers, and other stakeholders. RESULTS: Treatment decisions in oncology represent high-risk clinical decision making, and therefore the recommendations give preference to randomized controlled trials (RCTs) for demonstrating CU. The guidance also describes circumstances under which alternatives to RCTs could be considered, specifying conditions under which test developers could use prospective-retrospective studies with banked biospecimens, single-arm studies, prospective observational studies, or decision-analytic modeling techniques that make a reasonable case for CU. CONCLUSION: Using a process driven by multiple stakeholders, we developed a common framework for designing and evaluating studies of the clinical validity and CU of MDx tests, achieving a balance between internal validity of the studies and the relevance, feasibility, and timeliness of generating the desired evidence.Genet Med 18 8, 780-787.

Duke Scholars

Published In

Genet Med

DOI

EISSN

1530-0366

Publication Date

August 2016

Volume

18

Issue

8

Start / End Page

780 / 787

Location

United States

Related Subject Headings

  • Neoplasms
  • Molecular Diagnostic Techniques
  • Humans
  • Guidelines as Topic
  • Genetics & Heredity
  • Evidence-Based Medicine
  • Evaluation Studies as Topic
  • Clinical Decision-Making
  • Biomedical Research
  • 3105 Genetics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Deverka, P., Messner, D. A., McCormack, R., Lyman, G. H., Piper, M., Bradley, L., … Tunis, S. R. (2016). Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology. Genet Med, 18(8), 780–787. https://doi.org/10.1038/gim.2015.162
Deverka, Patricia, Donna A. Messner, Robert McCormack, Gary H. Lyman, Margaret Piper, Linda Bradley, David Parkinson, et al. “Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology.Genet Med 18, no. 8 (August 2016): 780–87. https://doi.org/10.1038/gim.2015.162.
Deverka P, Messner DA, McCormack R, Lyman GH, Piper M, Bradley L, et al. Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology. Genet Med. 2016 Aug;18(8):780–7.
Deverka, Patricia, et al. “Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology.Genet Med, vol. 18, no. 8, Aug. 2016, pp. 780–87. Pubmed, doi:10.1038/gim.2015.162.
Deverka P, Messner DA, McCormack R, Lyman GH, Piper M, Bradley L, Parkinson D, Nelson D, McLeod HL, Smith ML, Jacques L, Dutta T, Tunis SR. Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology. Genet Med. 2016 Aug;18(8):780–787.

Published In

Genet Med

DOI

EISSN

1530-0366

Publication Date

August 2016

Volume

18

Issue

8

Start / End Page

780 / 787

Location

United States

Related Subject Headings

  • Neoplasms
  • Molecular Diagnostic Techniques
  • Humans
  • Guidelines as Topic
  • Genetics & Heredity
  • Evidence-Based Medicine
  • Evaluation Studies as Topic
  • Clinical Decision-Making
  • Biomedical Research
  • 3105 Genetics