Evidence map›Paper›PMID 36943453›Full record

ArticleHuman genetics2023

Great expectations: patients' preferences for clinically significant results from genomic sequencing.

Salma Shickh, Agnes Sebastian, Marc Clausen, Chloe Mighton, Christine Elser, Andrea Eisen, Larissa Waldman, Seema Panchal, Thomas Ward, June C Carroll and 7 more

Abstract read
In one paragraph

Article in Human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

17 authors.

Salma ShickhInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Agnes SebastianInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Marc ClausenGenomics Health Services Research Program, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Chloe MightonInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Christine ElserUniversity Health Network, Toronto, ON, Canada.
Andrea EisenSunnybrook Health Sciences Centre, Toronto, ON, Canada.
Larissa WaldmanSunnybrook Health Sciences Centre, Toronto, ON, Canada.
Seema PanchalDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Thomas WardZane Cohen Centre, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada.
June C CarrollRay D Wolfe Department of Family Medicine, Sinai Health, Toronto, ON, Canada.
Emily GlogowskiSanofi Genzyme, New York, NY, USA.
Kasmintan A SchraderBC Cancer, Vancouver, BC, Canada.
Jordan Lerner-EllisLunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada.
Raymond H KimDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Kevin E ThorpeDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Yvonne BombardInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. yvonne.bombard@utoronto.ca.ORCID http://orcid.org/0000-0002-9516-4539
Incidental Genomics Team members to be indexed in PubMed

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
CIHR 136664CIHR 425969NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

We aimed to describe patient preferences for a broad range of secondary findings (SF) from genomic sequencing (GS) and factors driving preferences. We assessed preference data within a trial of the Genomics ADvISER, (SF decision aid) among adult cancer patients. Participants could choose from five categories of SF: (1) medically actionable; (2) polygenic risks; (3) rare diseases; (4) early-onset neurological diseases; and (5) carrier status. We analyzed preferences using descriptive statistics and drivers of preferences using multivariable logistic regression models. The 133 participants were predominantly European (74%) or East Asian or mixed ancestry (13%), female (90%), and aged > 50 years old (60%). The majority chose to receive SF. 97% (129/133) chose actionable findings with 36% (48/133) choosing all 5 categories. Despite the lack of medical actionability, participants were interested in receiving SF of polygenic risks (74%), carrier status (75%), rare diseases (59%), and early-onset neurologic diseases (53%). Older participants were more likely to be interested in receiving results for early-onset neurological diseases, while those exhibiting lower decisional conflict were more likely to select all categories. Our results highlight a disconnect between cancer patient preferences and professional guidelines on SF, such as ACMG's recommendations to only return medically actionable secondary findings. In addition to clinical evidence, future guidelines should incorporate patient preferences.

Indexed as

NeoplasmsPatient PreferenceAdultFemaleGenomicsHumansMiddle AgedMotivationRare Diseases

Identifiers

PMID36943453
PMCPMC11249280

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.