Evidence map›Paper›PMID 34779303›Full record

ArticleJournal of telemedicine and telecare2024

Telephone versus in-person genetic counseling for hereditary cancer risk: Patient predictors of differential outcomes.

Savannah Binion, Lia J Sorgen, Beth N Peshkin, Heiddis Valdimarsdottir, Claudine Isaacs, Rachel Nusbaum, Kristi D Graves, Tiffani DeMarco, Marie Wood, Wendy McKinnon and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Genetic Services in Appalachia Conference Series.American journal of medical genetics. Part A · 2025
    Article
  4. Article
  5. Article
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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

14 authors at 7 institutions in 2 countries.

Savannah BinionGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Lia J SorgenGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Beth N PeshkinGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Heiddis ValdimarsdottirDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Claudine IsaacsGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Rachel NusbaumGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Kristi D GravesGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Tiffani DeMarcoGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Marie WoodFamilial Cancer Program of the Vermont Cancer Center, University of Vermont College of Medicine, Burlington, VT, USA.
Wendy McKinnonFamilial Cancer Program of the Vermont Cancer Center, University of Vermont College of Medicine, Burlington, VT, USA.
Judy GarberCenter for Cancer Genetics and Prevention, Dana-Farber Cancer Institute-Harvard Medical School, Boston, MA, USA.
Shelley McCormickCenter for Cancer Genetics and Prevention, Dana-Farber Cancer Institute-Harvard Medical School, Boston, MA, USA.
Mary K LaddGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Marc D SchwartzGeorgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.ORCID 0000-0002-2735-5413
Georgetown University · USUniversity of Vermont · USDana-Farber Cancer Institute · USInova Health System · USMassachusetts General Hospital · USReykjavík University · ISUniversity of Maryland, Baltimore · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
Telephone-Based Genetic Counseling: An Equivalence TrialR01CA108933 · NCI · GEORGETOWN UNIVERSITY · PI SCHWARTZ, MARC D · 2004 to 2008
$2.3M
NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA108933
6 · The paper itself

Abstract

purposeTelegenetics has become the predominant mode of cancer genetic counseling during the COVID-19 pandemic. We sought to identify potential patient-level contraindicators for telegenetic genetic counseling.

methodsWe analyzed post-counseling (pre-result disclosure) follow-up data from a randomized noninferiority trial of a telephone genetic counseling versus usual care genetic counseling. Among 669 randomized participants, 600 completed pre-test counseling and 568 completed a 2-week follow-up assessment before receiving test results. In this analysis, we focused on genetic counseling outcomes (knowledge, decisional conflict, and distress). In multivariate models controlling for bivariate predictors of these outcomes, we tested our a priori hypotheses that pre-counseling numeracy, perceived stress, and race/ethnicity would moderate the outcomes of telephone genetic counseling versus usual care.

resultsOnly numeracy significantly moderated associations between mode of genetic counseling and outcomes. Higher numeracy was associated with higher post-counseling knowledge following telephone genetic counseling (

conclusionAlthough high numeracy was associated with higher levels of knowledge following telegenetic counseling, we did not identify any clinically significant patient-level contraindicators for telegenetic counseling. These results lend further confidence to the broad use of telegenetics.

Indexed as

Genetic CounselingNeoplasmsEquivalence Trials as TopicGenetic Predisposition to DiseaseGenetic TestingHumansPandemicsRandomized Controlled Trials as TopicTelephoneBRCA1BRCA2cancergenetic counselingnumeracyoutcomesTelegeneticstelehealth

Identifiers

PMID34779303
PMCPMC9902210
OpenAlexW3212978963

What OpenQuestion holds

Textmetadata
LicenceTDM
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.