Evidence map›Paper›PMID 37255363›Full record

ReviewCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Dying To Find Out: The Cost of Time at the Dawn of the Multicancer Early Detection Era.

Eric A Klein, Sarina Madhavan, Tomasz M Beer, Chetan Bettegowda, Minetta C Liu, Anne-Renee Hartman, Allan Hackshaw

Abstract readReview
In one paragraph

Review in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Review
  11. Observational
  12. Projecting the Impact of Multi-Cancer Early Detection on Late-Stage Incidence Using Multi-State Disease Modeling.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  13. Review
  14. 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.

Eric A KleinGRAIL, Inc, and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio.ORCID 0000-0002-1783-0698
Sarina MadhavanHarvard Medical and Business School, Boston Massachusetts.ORCID 0000-0003-3027-606X
Tomasz M BeerExact Sciences Corporation and OHSU Knight Cancer Institute, Portland, Oregon.ORCID 0000-0001-5600-9993
Chetan BettegowdaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-9991-7123
Minetta C LiuNatera. Inc and Mayo Clinic, Austin, Texas.ORCID 0000-0002-8206-5232
Anne-Renee HartmanAdela, Inc, Foster City, California.ORCID 0000-0003-3506-6440
Allan HackshawCancer Research UK and UCL Cancer Trials Centre, University College London, London, United Kingdom.ORCID 0000-0002-5570-5070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a significant burden worldwide that adversely impacts life expectancy, quality of life, health care costs, and workforce productivity. Although currently recommended screening tests for individual cancers reduce mortality, they detect only a minority of all cancers and sacrifice specificity for high sensitivity, resulting in a high cumulative rate of false positives. Blood-based multicancer early detection tests (MCED) based on next-generation sequencing (NGS) and other technologies hold promise for broadening the number of cancer types detected in screened populations and hope for reducing cancer mortality. The promise of this new technology to improve cancer detection rates and make screening more efficient at the population level demands the development of novel trial designs that accelerate clinical adoption. Carefully designed clinical trials are needed to address these issues.

Indexed as

NeoplasmsQuality of LifeEarly Detection of CancerHumans

Identifiers

PMID37255363
PMCPMC10390858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.