ArticleCancer research2018
Case Studies of Gastric, Lung, and Oral Cancer Connect Etiologic Agent Prevalence to Cancer Incidence.
Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Article
- Modeling Early-Onset Cancer Kinetics Reveals Changes in Underlying Risk and the Impact of Population Screening.Cancer research · 2025Article
- Modeling early-onset cancer kinetics to study changes in underlying risk, detection, and impact of population screening.medRxiv : the preprint server for health sciences · 2025Article
- Review
- Incidence and clearance of oral and cervicogenital HPV infection: longitudinal analysis of the MHOC cohort study.BMJ open · 2022Article
- Article
- Ultrasound-guided microwave ablation in the treatment of early-stage tongue cancer.Frontiers in oncology · 2022Article
- Circulating tumor cell count and serum CEA mRNA level predict postoperative recurrence of digestive tract cancer.American journal of translational research · 2021Article
- Multisite HPV infections in the United States (NHANES 2003-2014): An overview and synthesis.Preventive medicine · 2019Article
- Integrating measures of viral prevalence and seroprevalence: a mechanistic modelling approach to explaining cohort patterns of human papillomavirus in women in the USA.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Predicting the Epidemiological Dynamics of Lung Cancer in Japan.Journal of clinical medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Obtaining detailed individual-level data on both exposure and cancer outcomes is challenging, and it is difficult to understand and characterize how temporal aspects of exposures translate into cancer risk. We show that, in lieu of individual-level information, population-level data on cancer incidence and etiologic agent prevalence can be leveraged to investigate cancer mechanisms and to better characterize and predict cancer trends. We use mechanistic carcinogenesis models [multistage clonal expansion (MSCE) models] and data on smoking,
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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.