Evidence map›Paper›PMID 25968175›Full record

ArticleEuropean journal of epidemiology2016

An epidemiological model for prediction of endometrial cancer risk in Europe.

Anika Hüsing, Laure Dossus, Pietro Ferrari, Anne Tjønneland, Louise Hansen, Guy Fagherazzi, Laura Baglietto, Helena Schock, Jenny Chang-Claude, Heiner Boeing and 26 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  20. Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
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

36 authors.

Anika HüsingDivision of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany. a.huesing@dkfz.de.
Laure DossusInserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health Team, 94805, Villejuif, France.
Pietro FerrariInternational Agency for Research on Cancer, Lyon, France.
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Louise HansenDanish Cancer Society Research Center, Copenhagen, Denmark.
Guy FagherazziInserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health Team, 94805, Villejuif, France.
Laura BagliettoCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, 3053, Australia.
Helena SchockDivision of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Jenny Chang-ClaudeUnit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Heiner BoeingGerman Institute of Human Nutrition in Potsdam-Rehbruecke, Potsdam, Germany.
Annika SteffenGerman Institute of Human Nutrition in Potsdam-Rehbruecke, Potsdam, Germany.
Antonia TrichopoulouHellenic Health Foundation, 13 Kaisareias Street, 115 27, Athens, Greece.
Christina BamiaDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, 75 M. Asias Street, Goudi, 115 27, Athens, Greece.
Michalis KatsoulisHellenic Health Foundation, 13 Kaisareias Street, 115 27, Athens, Greece.
Vittorio KroghEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, 1, 20133, Milan, Italy.
Domenico PalliMolecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy.
Salvatore PanicoDipartimento Di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy.
N Charlotte Onland-MoretDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Petra H PeetersDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
H Bas Bueno-de-MesquitaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.
Elisabete WeiderpassDepartment of Community Medicine, Faculty of Health Sciences, University of Tromsø, UiT The Arctic University of Norway, Tromsø, Norway.
Inger T GramDepartment of Community Medicine, Faculty of Health Sciences, University of Tromsø, UiT The Arctic University of Norway, Tromsø, Norway.
Eva ArdanazNavarre Public Health Institute, Pamplona, Spain.
Mireia Obón-SantacanaUnit of Nutrition, Environment and Cancer. Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain.
Carmen NavarroCIBER Epidemiology and Public Health CIBERESP, Madrid, Spain.
Emilio Sánchez-CantalejoCIBER Epidemiology and Public Health CIBERESP, Madrid, Spain.
Nerea EtxezarretaCIBER Epidemiology and Public Health CIBERESP, Madrid, Spain.
Naomi E AllenCTSU, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Kay Tee KhawSchool of Clinical Medicine, University of Cambridge, Cambridge, UK.
Nick WarehamMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Sabina RinaldiInternational Agency for Research on Cancer, Lyon, France.
Isabelle RomieuInternational Agency for Research on Cancer, Lyon, France.
Melissa A MerrittDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.
Marc GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.
Rudolf KaaksDivision of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.

Funding

Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_U106179471Medical Research Council MC_UU_12015/1World Health Organization 001
6 · The paper itself

Abstract

Endometrial cancer (EC) is the fourth most frequent cancer in women in Europe, and as its incidence is increasing, prevention strategies gain further pertinence. Risk prediction models can be a useful tool for identifying women likely to benefit from targeted prevention measures. On the basis of data from 201,811 women (mostly aged 30-65 years) including 855 incident EC cases from eight countries in the European Prospective Investigation into Cancer and Nutrition cohort, a model to predict EC was developed. A step-wise model selection process was used to select confirmed predictive epidemiologic risk factors. Piece-wise constant hazard rates in 5-year age-intervals were estimated in a cause-specific competing risks model, five-fold-cross-validation was applied for internal validation. Risk factors included in the risk prediction model were body-mass index (BMI), menopausal status, age at menarche and at menopause, oral contraceptive use, overall and by different BMI categories and overall duration of use, parity, age at first full-term pregnancy, duration of menopausal hormone therapy and smoking status (specific for pre, peri- and post-menopausal women). These variables improved the discriminating capacity to predict risk over 5 years from 71% for a model based on age alone to 77% (overall C statistic), and the model was well-calibrated (ratio of expected to observed cases = 0.99). Our model could be used for the identification of women at increased risk of EC in Western Europe. To achieve an EC-risk model with general validity, a large-scale cohort-consortium approach would be needed to assess and adjust for population variation.

Indexed as

AdultAgedBody Mass IndexEndometrial NeoplasmsEuropeFemaleHumansIncidenceMenopauseMiddle AgedModels, BiologicalPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsEndometrial cancerEpidemiologyPreventionRisk model

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.