Evidence map›Paper›PMID 35844011›Full record

ArticleThe patient2023

Patient Preferences for Multi-Cancer Early Detection (MCED) Screening Tests.

Heather Gelhorn, Melissa M Ross, Anuraag R Kansal, Eric T Fung, Michael V Seiden, Nicolas Krucien, Karen C Chung

Abstract read
PubMed Publisher
In one paragraph

Article in The patient, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. A Socio-ecological Analysis of Factors Influencing the Perceived Value of Multicancer Early Detection Testing in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  7. Article
  8. Impact of Population Cancer Risk on the Cost-effectiveness of Multicancer Early Detection Testing in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  9. Article
  10. Article
  11. Projecting individualized probabilities of lifetime all-cancer risk.medRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

7 authors.

Heather GelhornEvidera, Inc., Suite 1400, 7101 Wisconsin Avenue, Bethesda, MD, 20814, USA. heather.gelhorn@evidera.com.ORCID 0000-0003-3566-1004
Melissa M RossEvidera, Inc., Suite 1400, 7101 Wisconsin Avenue, Bethesda, MD, 20814, USA.ORCID 0000-0001-7317-9273
Anuraag R KansalGRAIL LLC, a subsidiary of Illumina Inc. (currently held separate from Illumina Inc. under the terms of the Interim Measures Order of the European Commission dated 29 October, 2021), Menlo Park, CA, USA.
Eric T FungGRAIL LLC, a subsidiary of Illumina Inc. (currently held separate from Illumina Inc. under the terms of the Interim Measures Order of the European Commission dated 29 October, 2021), Menlo Park, CA, USA.
Michael V SeidenMcKesson, Irving, TX, USA.
Nicolas KrucienEvidera, Inc., London, UK.
Karen C ChungGRAIL LLC, a subsidiary of Illumina Inc. (currently held separate from Illumina Inc. under the terms of the Interim Measures Order of the European Commission dated 29 October, 2021), Menlo Park, CA, USA.ORCID 0000-0003-4170-8390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging blood-based multi-cancer early detection (MCED) tests can detect a variety of cancer types across stages with a range of sensitivity, specificity, and ability to predict the origin of the cancer signal. However, little is known about the general US population's preferences for MCED tests.

objectiveTo quantify preferences for MCED tests among US adults aged 50-80 years using a discrete choice experiment (DCE).

methodsTo quantify preferences for attributes of blood-based MCED tests, an online DCE was conducted with five attributes (true positives, false negatives, false positives, likelihood of the cancer type unknown, number of cancer types detected), among the US population aged 50-80 years recruited via online panels and social media. Data were analyzed using latent class multinomial logit models and relative attribute importance was obtained.

resultsParticipants (N = 1700) were 54% female, mean age 63.3 years. Latent class modeling identified three classes with distinct preferences for MCED tests. The rank order of attribute importance based on relative attribute importance varied by latent class, but across all latent classes, participants preferred higher accuracy (fewer false negatives and false positives, more true positives) and screenings that detected more cancer types and had a lower likelihood of cancer type unknown. Overall, 72% of participants preferred to receive an MCED test in addition to currently recommended cancer screenings.

conclusionsWhile there is significant heterogeneity in cancer screening preferences, the majority of participants preferred MCED screening and the accuracy of these tests is important. While the majority of participants preferred adding an MCED test to complement current cancer screenings, the latent class analyses identified a small (16%) and specific subset of individuals who value attributes differently, with particular concern regarding false-negative and false-positive test results, who are significantly less likely to opt-in.

Indexed as

Early Detection of CancerNeoplasmsAdultFemaleHumansMaleMiddle AgedPatient Preference

Identifiers

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.