Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.
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
9 authors.
Ruiyi TianDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Xiaoyu ZongDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Duo RenDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Stefani TicaDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-6935-9746
Daniel HongDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0009-0007-5473-8990
Oluseye OduyaleDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Ramaswamy GovindanAlvin J. Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Yin CaoDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA. yin.cao@wustl.edu.ORCID http://orcid.org/0000-0001-9835-7662
Funding
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University DDRCC Supplemental Equipment RequestP30DK052574 · NIDDK · WASHINGTON UNIVERSITY · PI Rodney D Newberry · 2000 to 2026
$30.8M
Pediatric Gastroenterology Research Training ProgramT32DK077653 · NIDDK · WASHINGTON UNIVERSITY · PI PHILLIP I TARR · 2007 to 2026
$5.8M
MOLECULAR ONCOLOGY TRAINING GRANTT32CA113275 · NCI · WASHINGTON UNIVERSITY · PI Matthew J Walter · 2006 to 2026
$5.7M
Obesity, sedentary behaviors, and diet quality for prevention and early detection of early-onset colorectal neoplasiaR37CA246175 · NCI · WASHINGTON UNIVERSITY · PI Yin Cao · 2020 to 2026
$3.9M
PROSPECT-Global Consortium and Risk Factor DiscoveryOT2CA297576 · NCI · WASHINGTON UNIVERSITY · PI Yin Cao · 2024 to 2026
$3.2M
PROSPECT: Pathways, Risk factors, and mOleculeS to Prevent Early-onset Colorectal TumorsOT2CA297577 · NCI · HARVARD UNIVERSITY · PI Emily Patricia Balskus, Jason Daniel Buenrostro · 2024 to 2026
$1.4M
Cancer Research UK (CRUK) CGCATF-2023/100037Cancer Research UK (CRUK) CGCATF-2023/100043NCATS NIH HHS UL1 TR002345NCI NIH HHS OT2 CA297576NCI NIH HHS OT2 CA297577NCI NIH HHS R37 CA246175NCI NIH HHS T32 CA113275NIDDK NIH HHS P30 DK052574NIDDK NIH HHS T32 DK077653U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32CA113275U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32DK077653U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) OT2CA297576U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) OT2CA297577U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R37CA246175U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) P30DK052574WUSTL | Washington University School of Medicine in St. Louis UL1TR002345
6 · The paper itself
Abstract
Incidence of early-onset cancer is rising globally in recent generations, which underscores the need to elucidate the influence of emerging generational risk factors. Systemic and organ-specific aging reflects the cumulative impact of exposures and may provide an integrative and complementary approach to understand early-onset cancer risk. Here among 154,169 young adults from the United Kingdom Biobank, systemic aging measured by PhenoAge increased across birth cohorts, with 23% s.d. increase for those born 1965-1974 versus 1950-1954, and was associated with early-onset solid cancer risk (hazard ratio (HR)
Indexed as
AgingNeoplasmsAdultAge of OnsetFemaleHumansIncidenceLung NeoplasmsMaleMiddle AgedRisk FactorsUnited KingdomUnited StatesYoung Adult
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.