Evidence map›Paper›PMID 42058480›Full record

ArticleResearch connections2026

Feasibility and acceptability of an electronic decision aid for genetic testing in ovarian and pancreatic cancer patients.

Danielle A Lynch, Sarah Wiser, Devanshi Patel, Kajal Patel, Ava Siegel, Mackenzie Wooters, Linda Rodgers-Fouche, Sara Bouberhan, Colin Weekes, Nana Addo-Tabiri and 6 more

Abstract read
In one paragraph

Article in Research connections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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

16 authors.

Danielle A LynchDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, United States.
Sarah WiserDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, United States.
Devanshi PatelCenter for Cancer Risk Assessment, Massachusetts General Hospital, Boston, MA 02114, United States.
Kajal PatelDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, United States.
Ava SiegelDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, United States.
Mackenzie WootersCenter for Cancer Risk Assessment, Massachusetts General Hospital, Boston, MA 02114, United States.
Linda Rodgers-FoucheCenter for Cancer Risk Assessment, Massachusetts General Hospital, Boston, MA 02114, United States.
Sara BouberhanCancer Center, Massachusetts General Hospital, Boston, MA 02114, United States.
Colin WeekesCancer Center, Massachusetts General Hospital, Boston, MA 02114, United States.
Nana Addo-TabiriHematology and Medical Oncology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, United States.
Kimberly ZayhowskiDepartment of Medical Sciences and Education, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, United States.
Elizabeth PottierHematology and Medical Oncology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, United States.
Karen R SepuchaDivision of General Internal Medicine, Health Decision Sciences Center, Massachusetts General Hospital, Boston, MA 02114, United States.
Yuchiao ChangDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, United States.
Kristen M ShannonCenter for Cancer Risk Assessment, Massachusetts General Hospital, Boston, MA 02114, United States.
Daniel C ChungDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, United States.ORCID https://orcid.org/0000-0001-8226-7005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Germline genetic testing is recommended for all patients with ovarian or pancreatic cancer, and alternative service delivery models are needed to meet this demand. We evaluated an electronic decision aid (DA) that can be administered during a visit with an oncology provider. The DA centered around the decision to pursue genetic testing and selection of a specific multi-gene panel. Methods: An electronic DA had previously been developed by a multi-disciplinary team. Patients were enrolled at two academic medical centers. We surveyed participants with ovarian or pancreatic cancer who completed the DA about their experience and knowledge gained. Oncology providers were also surveyed. Results: Ninety-two patients were enrolled. The DA took 13.7 min to complete. There was a 20% increase in knowledge scores after using the DA. Ninety-five percent opted to pursue genetic testing; 20% chose the smallest cancer-specific gene panel, 31% chose the mid-size multi-cancer panel, and 49% chose the largest panel that included limited evidence genes. Nearly all participants (93%) indicated the DA helped their decision-making, and 95% would recommend the DA to friends interested in genetic testing. Ninety-one percent of providers felt patients were well-informed about genetic testing options and 93% indicated the DA did not extend appointment times. Conclusions: Use of a DA for genetic testing is feasible and acceptable. Patients and providers expressed high levels of satisfaction. The wide range of multi-gene panels selected highlights the importance of offering choice. Studies to formally compare the performance of the DA with traditional genetic counseling are warranted.

Indexed as

Decision aidGenetic testingOvarian cancerPancreatic cancer

Identifiers

PMID42058480
PMCPMC13123761

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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.