ReviewNature reviews. Clinical oncology2016
Population-based screening for cancer: hope and hype.
Review in Nature reviews. Clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 84 papers, 4 of them syntheses that pooled 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.
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.
HPV Self-sampling Among Women at the Penn State Hershey Colposcopy Clinics
HPV Self-sampling Among Women at Penn State Hershey Well Women Appointments
Who cites it
84 citing papers in PubMed, 4 syntheses or guidelines pooled it, 141 citations in OpenAlex.
- Acceptability and perceptions of personalised risk-based cancer screening among health-care professionals and the general public: a systematic review and meta-analysis.The Lancet. Public health · 2025Pooled it
- Global research trends on the associations between the microbiota and lung cancer: a visualization bibliometric analysis (2008-2023).Frontiers in microbiology · 2024Pooled it
- Epidemiological evidence for associations between variants in microRNA or biosynthesis genes and lung cancer risk.Cancer medicine · 2020Pooled it
- The Impact of the COVID-19 Pandemic on Breast and Cervical Cancer Screening: A Systematic Review.In vivo (Athens, Greece)Pooled it
- Integrating breast cancer polygenic risk scores at scale in the WISDOM Study: a national randomized personalized screening trial.Genome medicine · 2025Trial
- Use of Molecular Tools to Identify Patients With Indolent Breast Cancers With Ultralow Risk Over 2 Decades.JAMA oncology · 2017Trial
- Evolving attitudes towards cancer screening: a 2024 update of UK population views.British journal of cancer · 2026Article
- WISDOM randomized trial comparing risk-based versus annual breast cancer screening: study cohort characteristics and design.NPJ breast cancer · 2026Article
- [The precautionary principle in preventive actions: considerations on an absence].Cadernos de saude publica · 2026Article
- WISDOM Randomized Trial Comparing Risk-Based Versus Annual Breast Cancer Screening: Study Cohort Characteristics and Design.Research square · 2025Article
- Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives.Cells · 2025Review
- Follow-Up After Receiving Abnormal Results From Self-Sampled Colorectal and Cervical Cancer Screening Tests Among Underserved Patients.Cancer medicine · 2025Article
- Mechanistic Insights into Tumorigenesis from Serum Proteins.medRxiv : the preprint server for health sciences · 2025Article
- Risk-based innovations in cancer screening and diagnosis: a discrete choice experiment to explore priorities of the UK public.BMJ open · 2025Article
- Review
- A scoping review of factors influencing the implementation of liquid biopsy for cancer care.Journal of experimental & clinical cancer research : CR · 2025Article
- The Future of Breast Cancer Organized Screening Program Through Artificial Intelligence: A Scoping Review.Healthcare (Basel, Switzerland) · 2025Review
- Pulmonary adenocarcinoma of low malignant potential defines indolent NSCLC associated with overdiagnosis in the national lung screening trial.Cancer biomarkers : section A of Disease markers · 2025Article
- Mixed method analysis of mobile screening clinic for cancer in a tribal community of Maharashtra.Journal of education and health promotion · 2025Article
- The roles of LncRNA CARMN in cancers: biomarker potential, therapeutic targeting, and immune response.Discover oncology · 2024Review
24 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Several important lessons have been learnt from our experiences in screening for various cancers. Screening programmes for cervical and colorectal cancers have had the greatest success, probably because these cancers are relatively homogenous, slow-growing, and have identifiable precursors that can be detected and removed; however, identifying the true obligate precursors of invasive disease remains a challenge. With regard to screening for breast cancer and for prostate cancer, which focus on early detection of invasive cancer, preferential detection of slower-growing, localized cancers has occurred, which has led to concerns about overdiagnosis and overtreatment; programmes for early detection of invasive lung cancers are emerging, and have faced similar challenges. A crucial consideration in screening for breast, prostate, and lung cancers is their remarkable phenotypic heterogeneity, ranging from indolent to highly aggressive. Efforts have been made to address the limitations of cancer-screening programmes, providing an opportunity for cross-disciplinary learning and further advancement of the science. Current innovations are aimed at identifying the individuals who are most likely to benefit from screening, increasing the yield of consequential cancers on screening and biopsy, and using molecular tests to improve our understanding of disease biology and to tailor treatment. We discuss each of these concepts and outline a dynamic framework for continuous improvements in the field of cancer screening.
Indexed as
Identifiers
What OpenQuestion holds
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.