Evidence map›Paper›PMID 42054024›Full record

Trial reportJAMA network open2026

Streamlining Inherited Cancer Identification via an EMR-Integrated Risk Assessment Platform: A Nonrandomized Clinical Trial.

Lori A Orlando, Kathleen F Mittendorf, Nathan A Bihlmeyer, Harris T Bland, Rachel A Myers, Siddharth Pratap, Natasha Celaya-Cobbs, Justin Andujar, Meredith Gerhart, Azita Sadeghpour and 10 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05079334 (Improving Identification and Healthcare for Patients With Inherited Cancer Syndromes), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT05079334 completednot on this map

Improving Identification and Healthcare for Patients With Inherited Cancer Syndromes: Evidence-based EMR Implementation Using a Web-based Computer Platform

TypeobservationalSponsorVanderbilt University Medical CenterRan2022 to 2025Enrolled1,847ConditionsNeoplastic Syndromes, Hereditary, Comparative Effectiveness Research
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Lori A OrlandoDepartment of Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Kathleen F MittendorfDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Nathan A BihlmeyerDepartment of Medicine Clinical Research Unit, Duke University School of Medicine, Durham, North Carolina.
Harris T BlandDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Rachel A MyersDepartment of Medicine Clinical Research Unit, Duke University School of Medicine, Durham, North Carolina.
Siddharth PratapDepartment of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, Tennessee.
Natasha Celaya-CobbsDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Justin AndujarDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Meredith GerhartDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Azita SadeghpourDuke Precision Medicine Program, Department of Medicine, Duke University, Durham, North Carolina.
Gillian HookerDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
R Ryanne WuDuke Precision Medicine Program, Department of Medicine, Duke University, Durham, North Carolina.
Dana R MarshallDepartment of Pathology, Anatomy and Cell Biology, Meharry Medical College, Nashville, Tennessee.
Clasherrol EdwardsDepartment of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, Tennessee.
Katie L FredericksonDepartment of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, Tennessee.
Jeff LeegonDepartment of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, Tennessee.
Sarah H JonesInstitute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee.
S Trent RosenbloomDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Josh F PetersonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Georgia L WiesnerDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

Improving identification and healthcare for patients with Inherited Cancer Syndromes: Evidence-based EMR implementation using a web-based computer platformU01CA232829 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ORLANDO, LORI ANN, WIESNER, GEORGIA L · 2019 to 2023
$5.4M
NCI NIH HHS U01 CA232829
6 · The paper itself

Abstract

Importance: Approximately 10% of cancers are attributable to heritable germline variants, yet identification of individuals at risk remains suboptimal. Objective: To assess the feasibility of personal history and family health history (FHH) risk assessment technology via the electronic medical record (EMR) to enhance identification of patients at risk for a broad array of inherited cancer syndromes. Design, Setting, and Participants: This single-arm, nonrandomized clinical trial was completed from October 1, 2021, to September 1, 2023, with no follow-up period in unselected patients receiving care at Vanderbilt University Medical Center. Adult patients (aged ≥18 years) were invited through their EMR patient portals to complete an eligibility survey. Eligible participants completed the survey, were English speaking, and had no prior genetic counseling. The data analysis was performed between August 15 and November 7, 2025. Intervention: Electronic medical record-integrated risk assessment platform that collected self-reported personal history and FHH to assess risk for 24 hereditary cancer syndromes. Main Outcomes and Measures: The primary outcome was the completion rate of the risk assessment platform. Secondary outcomes included the percentage of newly identified participants meeting guideline criteria for genetic counseling and whether previsit FHH collection increased genetic counseling capacity by decreasing time spent in counseling. Results: A total of 1685 patients were consented to participate (mean [SD] age, 55.4 [15.1] years; 1217 female [72.2%]; 95 of Black or African American [5.6%] 1405 of White [83.4%], and 181 of other [multiracial, other, or unknown] [10.6%] race; 38 of Hispanic or Latino [2.3%], 1388 of non-Hispanic or Latino [82.4%], and 111 of unknown [6.6%] ethnicity). Among participants consented, 1483 (88.0%) were provided access to the risk assessment, 1106 (74.6%) started the assessment, 636 (57.5%) completed it, and 544 (49.1%) received a risk report. Younger age and unknown race and ethnicity were the only significant variables associated with completion (mean [SD] age, 53.5 [15.3] vs 56.9 [14.8] years for completers vs noncompleters, respectively; unknown race, 77 [14.2%] vs 43 [7.6%] for noncompleters; unknown ethnicity, 49 [9.0%] vs 20 [3.6%] for completers vs noncompleters, respectively). Among participants who completed the risk assessment, 155 (28.5%) met guideline criteria for genetic counseling, yet 74 (47.7%) were previously identified as at risk by billing codes. A total of 31 participants (20.0%) eligible for genetic counseling attended. Manual outreach efforts and counseling duration did not differ between risk assessment-assisted and usual care visits. Conclusions and Relevance: In this nonrandomized clinical trial, almost one-third of the population met national genetic counseling criteria for an inherited cancer syndrome, highlighting a substantial gap in usual care identification. Integrating patient-facing FHH collection and assessment tools for primary care patients improves inherited cancer risk identification and highlights opportunities to further enhance both risk assessment processes and genetic counseling attendance. Trial Registration: ClinicalTrials.gov Identifier: NCT05079334.

Indexed as

Electronic Health RecordsMedical History TakingNeoplastic Syndromes, HereditaryAdultAgedFemaleGenetic CounselingGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiddle AgedRisk Assessment

Identifiers

PMID42054024
PMCPMC13129876

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Registered trials

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.