ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014
Cancer screening and genetics: a tale of two paradigms.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- How does personal utility depend on clinical setting? Evidence from 3 cohorts.Genetics in medicine open · 2025Article
- Development of a novel measure of advanced cancer patients' perceived utility of secondary germline findings from tumor genomic profiling.PEC innovation · 2023Article
- Quality of life drives patients' preferences for secondary findings from genomic sequencing.European journal of human genetics : EJHG · 2020Article
- Evaluating the Integration of Genomics into Cancer Screening Programmes: Challenges and Opportunities.Current genetic medicine reports · 2019Review
- Aggregate penetrance of genomic variants for actionable disorders in European and African Americans.Science translational medicine · 2016Article
- The hallmarks of premalignant conditions: a molecular basis for cancer prevention.Seminars in oncology · 2016Review
- Cancer prevention as part of precision medicine: 'plenty to be done'.Carcinogenesis · 2016Review
- Threshold-free measures for assessing the performance of medical screening tests.Frontiers in public health · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The long-standing medical tradition to "first do no harm" is reflected in population-wide evidence-based recommendations for cancer screening tests that focus primarily on reducing morbidity and mortality. The conventional cancer screening process is predicated on finding early-stage disease that can be treated effectively; yet emerging genetic and genomic testing technologies have moved the target earlier in the disease development process to identify a probabilistic predisposition to disease. Genetic risk information can have varying implications for the health and well-being of patients and their relatives, and has raised important questions about the evaluation and value of risk information. This article explores the paradigms that are being applied to the evaluation of conventional cancer screening tests and emerging genetic and genomic tests of cancer susceptibility, and how these perspectives are shifting and evolving in response to advances in our ability to detect cancer risks. We consider several challenges germane to the evaluation of both categories of tests, including defining benefits and harms in terms of personal and clinical utility, addressing healthcare consumers' information preferences, and managing scientific uncertainty. We encourage research and dialogue aimed at developing a better understanding of the value of all risk information, nongenetic and genetic, to people's lives. Cancer Epidemiol Biomarkers Prev; 23(6); 909-16. ©2014 AACR.
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Registered trials
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.