In one paragraphArticle in The American journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Markus Dines KnudsenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-9306-8327 Kai WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Liang WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Georgios PolychronidisDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-9819-8179 Paula BerstadSection for Colorectal Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-9025-4455 Anette HjartåkerDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Edoardo BotteriSection for Colorectal Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-9023-8068 Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7284-6767 Shuji OginoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-3909-2323 Mingyang SongDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-1324-0316 Funding
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8MLife Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4MLong Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3MCancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0MPrecision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9MAccelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0MThe Gut Microbiome, Lifestyle, and Colorectal NeoplasiaU01CA261961 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Mingyang Song · 2022 to 2026
$3.0MHarnessing DNA methylation in peripheral blood for improved colorectal cancer preventionR01CA285851 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marios Giannakis, Mingyang Song · 2024 to 2026
$2.0MDietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axisR00CA283146 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Kai Wang · 2025 to 2026
$470kDietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axisK99CA283146 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, KAI · 2023 to 2024
$244kAmerican Cancer Society Clinical Research Professor AwardAmerican Cancer Society CRP-24-1185864-01-PROFAmerican Cancer Society MRSG-17-220-01 - NECAstri og Birger Torsted Legat til bekjempelse av kreft 2023Direktør Throne Holsts Fond For Ernæringsforskning 2022Kreftforeningen KF-223165NCI NIH HHS K99 CA283146NCI NIH HHS P01 CA087969NCI NIH HHS R00 CA283146NCI NIH HHS R01 CA285851NCI NIH HHS R35 CA197735NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS U01 CA261961NCI NIH HHS UM1 CA186107the Deutsche Forschungsgemeinschaft (DFG) 426308975the US National Institutes of Health K99CA283146the US National Institutes of Health P01 CA87969the US National Institutes of Health R01CA285851the US National Institutes of Health U01CA261961
6 · The paper itselfAbstract
introductionThe impact of lifestyle changes after colorectal cancer (CRC) screening on risk of CRC and major chronic diseases remains unknown.
methodsLeveraging the repeatedly collected dietary, lifestyle, and screening data in the Nurses' Health Study (1988-2018), Nurses' Health Study II (1993-2019) and Health Professionals Follow-up Study (1988-2016), we assessed changes after initial colonoscopy screening in a healthy lifestyle score (0-5) based on smoking, body mass index, physical activity, alcohol intake, and diet. We used time-varying multivariable Cox regression to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for incidence of CRC and major chronic diseases (including cancer, cardiovascular disease, and type 2 diabetes), among 118,396 and 88,558 individuals, respectively.
resultsDuring a median follow-up of 10.0 years (interquartile range 6.2-12.6) and 9.6 years (interquartile range 6.0-12.3 years), we documented 537 CRC and 14,165 major chronic disease cases, respectively. Forty-eight percent of participants changed their lifestyle score with at least 1 point. One-unit increase in the lifestyle score was associated with 14% lower risk of CRC (HR 0.86, 95% CI 0.77-0.95) and 11% lower risk of major chronic diseases (HR 0.89, 95% CI 0.88-0.91). Similar associations were observed for proximal and distal CRC and individual chronic diseases. Changes in smoking and physical activity were associated with CRC and chronic diseases, whereas changes in weight, alcohol intake, and diet were associated with chronic diseases only. DISCUSSION: Adopting a healthier lifestyle after initial colonoscopy screening may reduce risk of CRC and chronic diseases, suggesting colonoscopy screening could be a teachable moment for health promotion.
Indexed as
chronical diseasescohort studycolonoscopy screeningcolorectal cancerlifestyle change
Identifiers
PMID40736699
PMCPMC12865775
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