Evidence map›Paper›PMID 37062188›Full record

Trial reportGynecologic oncology2023

Web-based tool for cancer family history collection: A prospective randomized controlled trial.

Melissa K Frey, Muhammad Danyal Ahsan, Emily Webster, Sarah R Levi, Jesse T Brewer, Jenny Lin, Stephanie V Blank, Hannah Krinsky, Corbyn Nchako, Isabel Wolfe and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Gynecologic oncology, 2023. 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
–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

6 citing papers in PubMed.

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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

16 authors.

Melissa K FreyDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America. Electronic address: mkf2002@med.cornell.edu.
Muhammad Danyal AhsanDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Emily WebsterDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Sarah R LeviDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Jesse T BrewerDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Jenny LinDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Stephanie V BlankDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Icahn School of Medicine at Mount Sinai, United States of America.
Hannah KrinskyDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Corbyn NchakoDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Isabel WolfeDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Charlene ThomasPopulation Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, United States of America.
Paul ChristosPopulation Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, United States of America.
Evelyn CantilloDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Eloise Chapman-DavisDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Kevin HolcombDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
Ravi N SharafDivision of Gastroenterology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Institutional Career Development CoreKL2TR002385 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI YUAN-SHAN ZHU · 2017 to 2026
$13.3M
Implementing Universal Lynch Syndrome Screening across Multiple Healthcare Systems: Identifying Strategies to Facilitate and Maintain Programs in Different Organizational ContextsR01CA211723 · NCI · GEISINGER CLINIC · PI RAHM, ALANNA K · 2017 to 2021
$3.7M
Gene Dependent Cancer Risk and Optimal Cancer Prevention Strategies in Lynch SyndromeK07CA216326 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHARAF, RAVI · 2018 to 2021
$675k
NCATS NIH HHS KL2 TR002385NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NCI NIH HHS K07 CA216326NCI NIH HHS R01 CA211723
6 · The paper itself

Abstract

objectivesApproximately 1% of individuals have a hereditary cancer predisposition syndrome, however, the majority are not aware. Collecting a cancer family history (CFH) can triage patients to receive genetic testing. To rigorously assess different methods of CFH collection, we compared a web-based tool (WBT) to usual care (clinician collects CFH) in a randomized controlled trial.

methodsNew gynecologic oncology patients (seen 9/2019-9/2021) were randomized to one of three arms in a 2:2:1 allocation ratio: 1) usual care clinician CFH collection, 2) WBT completed at home, or 3) WBT completed in office. The WBT generated a cancer-focused pedigree and scores on eight validated cancer risk models. The primary outcome was collection of an adequate CFH (based on established guidelines) with usual care versus the WBT.

resultsWe enrolled 250 participants (usual care - 110; WBT home - 105; WBT office - 35 [closed early due to COVID-19]). Within WBT arms, 109 (78%) participants completed the tool, with higher completion for office versus home (33 [94%] vs. 76 [72%], P = 0.008). Among participants completing the WBT, 63 (58%) had an adequate CFH versus 5 (5%) for usual care (P < 0.001). Participants completing the WBT were significantly more likely to complete genetic counseling (34 [31%] vs. 15 [14%], P = 0.002) and genetic testing (20 [18%] vs. 9 [8%], P = 0.029). Participant and provider WBT experience was favorable.

conclusionsWBTs for CFH collection are a promising application of health information technology, resulting in more comprehensive CFH and a significantly greater percentage of participants completing genetic counseling and testing.

Indexed as

COVID-19NeoplasmsFemaleGenetic TestingHumansInternetProspective Studies

Identifiers

PMID37062188
PMCPMC10310435

What OpenQuestion holds

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Registered trials

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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.