Evidence map›Paper›PMID 26938783›Full record

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

Clinical utility of a Web-enabled risk-assessment and clinical decision support program.

Lori A Orlando, R Ryanne Wu, Rachel A Myers, Adam H Buchanan, Vincent C Henrich, Elizabeth R Hauser, Geoffrey S Ginsburg

Abstract 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. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Effect of genetics clinical decision support tools on health-care providers' decision making: a mixed-methods systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  2. Genetic cancer risk assessment in general practice: systematic review of tools available, clinician attitudes, and patient outcomes.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lori A OrlandoDuke Center for Applied Genomics & Precision Medicine, Duke University, Durham, North Carolina, USA.ORCID 0000-0003-2534-7855
R Ryanne WuDuke Center for Applied Genomics & Precision Medicine, Duke University, Durham, North Carolina, USA.
Rachel A MyersDuke Center for Applied Genomics & Precision Medicine, Duke University, Durham, North Carolina, USA.
Adam H BuchananGenomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA.ORCID 0000-0002-6518-2453
Vincent C HenrichCenter for Biotechnology, Genomics, and Health Research, University of North Carolina-Greensboro, Greensboro, North Carolina, USA.
Elizabeth R HauserCenter for Human Genomics, Department of Medicine, Duke University and Epidemiological Research and Information Center, Durham VA Medical Center, Durham, North Carolina, USA.
Geoffrey S GinsburgDuke Center for Applied Genomics & Precision Medicine, Duke University, Durham, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRisk-stratified guidelines can improve quality of care and cost-effectiveness, but their uptake in primary care has been limited. MeTree, a Web-based, patient-facing risk-assessment and clinical decision support tool, is designed to facilitate uptake of risk-stratified guidelines.

methodsA hybrid implementation-effectiveness trial of three clinics (two intervention, one control).

participantsconsentable nonadopted adults with upcoming appointments. PRIMARY OUTCOME: agreement between patient risk level and risk management for those meeting evidence-based criteria for increased-risk risk-management strategies (increased risk) and those who do not (average risk) before MeTree and after. MEASURES: chart abstraction was used to identify risk management related to colon, breast, and ovarian cancer, hereditary cancer, and thrombosis.

resultsParticipants = 488, female = 284 (58.2%), white = 411 (85.7%), mean age = 58.7 (SD = 12.3). Agreement between risk management and risk level for all conditions for each participant, except for colon cancer, which was limited to those <50 years of age, was (i) 1.1% (N = 2/174) for the increased-risk group before MeTree and 16.1% (N = 28/174) after and (ii) 99.2% (N = 2,125/2,142) for the average-risk group before MeTree and 99.5% (N = 2,131/2,142) after. Of those receiving increased-risk risk-management strategies at baseline, 10.5% (N = 2/19) met criteria for increased risk. After MeTree, 80.7% (N = 46/57) met criteria.

conclusionMeTree integration into primary care can improve uptake of risk-stratified guidelines and potentially reduce "overuse" and "underuse" of increased-risk services.Genet Med 18 10, 1020-1028.

Indexed as

Decision Support Systems, ClinicalRisk AssessmentRisk ManagementAdultAgedFemaleHumansMaleMedical History TakingMiddle AgedNeoplasmsPrimary Health Care

Identifiers

PMID26938783

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.