Evidence map›Paper›PMID 39180334›Full record

ArticleJNCI cancer spectrum2024

Adiposity assessed close to diagnosis and prostate cancer prognosis in the EPIC study.

Margarita Cariolou, Sofia Christakoudi, Marc J Gunter, Tim Key, Aurora Pérez-Cornago, Ruth Travis, Raul Zamora-Ros, Kristina Elin T Petersen, Anne Tjønneland, Elisabete Weiderpass and 16 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2024. 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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

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

26 authors.

Margarita CariolouDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0003-2660-7866
Sofia ChristakoudiDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-9219-4436
Marc J GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Tim KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-2294-307X
Aurora Pérez-CornagoCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Ruth TravisCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Raul Zamora-RosUnit of Nutrition and Cancer, Cancer Epidemiology and Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.ORCID 0000-0002-6236-6804
Kristina Elin T PetersenDanish Cancer Institute, Diet, Cancer and Health, Copenhagen, Denmark.ORCID 0000-0002-8350-7194
Anne TjønnelandDanish Cancer Institute, Diet, Cancer and Health, Copenhagen, Denmark.ORCID 0000-0003-4385-2097
Elisabete WeiderpassInternational Agency for Research on Cancer, Lyon, France.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.ORCID 0000-0003-3751-3929
Petra SeiboldDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Elif Inan-ErogluDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Giovanna MasalaClinical Epidemiology Unit, Institute for Cancer Research, Prevention, and Clinical Network, Florence, Italy.ORCID 0000-0002-5758-9069
Claudia AgnoliEpidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy.ORCID 0000-0003-4472-1179
Rosario TuminoHyblean Association for Epidemiological Research, AIRE ONLUS Ragusa, Ragusa, Italy.ORCID 0000-0003-2666-414X
Chiara Di GirolamoCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Amaia AizpuruaMinistry of Health of the Basque Government, Sub directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain.ORCID 0000-0001-9793-7913
Miguel Rodriguez-BarrancoEscuela Andaluza de Salud Pública, Granada, Spain.ORCID 0000-0002-9972-9779
Carmen SantiusteCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Madrid, Spain.
Marcela GuevaraCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Madrid, Spain.ORCID 0000-0001-9242-6364
Dagfinn AuneDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-4533-1722
Doris S M ChanDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-0198-1897
David C MullerDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Konstantinos K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-8452-8472

Funding

American Institute for Cancer ResearchCancer Research UK 29017Medical Research Council MC_UU_00006/1Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1World Cancer Research FundWorld Cancer Research Fund network of charitiesWorld Health Organization 001
6 · The paper itself

Abstract

backgroundAdiposity has been characterized as a modifiable risk factor for prostate cancer. Its association with outcomes after prostate cancer diagnosis, however, must be better understood, and more evidence is needed to facilitate the development of lifestyle guidance for patients with prostate cancer.

methodsWe investigated the associations between adiposity indices close to prostate cancer diagnosis (up to 2 years before or up to 5 years after diagnosis) and mortality in 1968 men of the European Prospective Investigation into Cancer and Nutrition cohort. Men were followed up for a median of 9.5 years. Cox proportional hazards models were adjusted for age and year of diagnosis, disease stage and grade, and smoking history and stratified by country.

resultsEach 5-unit increment in prediagnosis or postdiagnosis body mass index combined was associated with a 30% higher rate of all-cause mortality and a 49% higher rate of prostate cancer-specific mortality. Similarly, each 5-unit increment in prediagnosis body mass index was associated with a 35% higher rate of all-cause mortality and a 51% higher rate of prostate cancer-specific mortality. The associations were less strong for postdiagnosis body mass index, with a lower number of men in analyses. Less clear positive associations were shown for waist circumference, hip circumference, and waist to hip ratio, but data were limited.

conclusionsElevated levels of adiposity close to prostate cancer diagnosis could lead to higher risk of mortality; therefore, men are encouraged to maintain a healthy weight. Additional research is needed to confirm whether excessive adiposity after prostate cancer diagnosis could worsen prognosis.

Indexed as

AdiposityBody Mass IndexProportional Hazards ModelsProstatic NeoplasmsWaist CircumferenceWaist-Hip RatioAgedCause of DeathEuropeHumansMaleMiddle AgedObesityPrognosisProspective StudiesRisk Factors

Identifiers

PMID39180334
PMCPMC11410200

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