Evidence map›Paper›PMID 26633547›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

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

Patricia Deverka, Donna A Messner, Robert McCormack, Gary H Lyman, Margaret Piper, Linda Bradley, David Parkinson, David Nelson, Howard L McLeod, Mary Lou Smith and 3 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Use of Real-World Evidence in US Payer Coverage Decision-Making for Next-Generation Sequencing-Based Tests: Challenges, Opportunities, and Potential Solutions.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Payer decision making for next-generation sequencing-based genetic tests: insights from cell-free DNA prenatal screening.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  10. EXAMINING EVIDENCE IN U.S. PAYER COVERAGE POLICIES FOR MULTI-GENE PANELS AND SEQUENCING TESTS.International journal of technology assessment in health care · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Patricia DeverkaCenter for Medical Technology Policy, Baltimore, Maryland, USA.ORCID 0000-0002-1777-4286
Donna A MessnerCenter for Medical Technology Policy, Baltimore, Maryland, USA.ORCID 0000-0001-9123-1450
Robert McCormackJanssen Oncology, Johnson & Johnson, Raritan, New Jersey, USA.
Gary H LymanDivision of Medical Oncology, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-0823-8086
Margaret PiperCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA.ORCID 0000-0002-6231-9653
Linda BradleyDepartment of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, Rhode Island, USA.
David ParkinsonNew Enterprise Associates, Inc., Menlo Park, California, USA.
David NelsonEpic Sciences, San Diego, California, USA.ORCID 0000-0002-0878-8926
Howard L McLeod
Mary Lou SmithResearch Advocacy Network, Chicago, Illinois, USA.
Louis JacquesADVI, Washington, DC, USA.ORCID 0000-0003-3749-1299
Tania DuttaCenter for Medical Technology Policy, Baltimore, Maryland, USA.
Sean R TunisCenter for Medical Technology Policy, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEnthusiasm 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.

methodsOur 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.

resultsTreatment 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.

conclusionUsing 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.

Indexed as

Biomedical ResearchClinical Decision-MakingEvaluation Studies as TopicEvidence-Based MedicineGuidelines as TopicHumansMolecular Diagnostic TechniquesNeoplasms

Identifiers

PMID26633547

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.