Evidence map›Paper›PMID 28441380›Full record

SynthesisBritish journal of cancer2017

Comparison of general obesity and measures of body fat distribution in older adults in relation to cancer risk: meta-analysis of individual participant data of seven prospective cohorts in Europe.

Heinz Freisling, Melina Arnold, Isabelle Soerjomataram, Mark George O'Doherty, José Manuel Ordóñez-Mena, Christina Bamia, Ellen Kampman, Michael Leitzmann, Isabelle Romieu, Frank Kee and 10 more

2 registry-linked trialsOpen access · hybridAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 85 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 7 pooled it
4.7field-weighted citation impact, top 4% of its field
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.

NCT04501198 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Moxibustion Combined With Characteristic Lifestyle Intervention of Traditional Chinese Medicine in the Treatment of Abdominal Obesity: A Study Protocol for a Randomized Controlled Trial

TypeinterventionalSponsorHubei Hospital of Traditional Chinese MedicineRan2020 to 2022Enrolled150ConditionsObesityArmsmoxibustion combined with characteristic lifestyle intervention of traditional chinese medicine, Moxibustion combined with lifestyle intervention., lifestyle intervention
NCT04835181 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Electroacupuncture Combined With Umbilical Moxibustion on Abdominal Obesity of Yang Deficiency: A Study Protocol for a Randomized Controlled Trial

TypeinterventionalSponsorHubei Hospital of Traditional Chinese MedicineRan2021 to 2022Enrolled68ConditionsObesity, AbdominalArmsElectroacupuncture combined with umbilical moxibustion, Electroacupuncture
3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 7 syntheses or guidelines pooled it, 149 citations in OpenAlex.

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  4. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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25 more citing papers are in PubMed but not listed here.

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

20 authors at 14 institutions in 10 countries.

Heinz FreislingSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France.
Melina ArnoldSection of Cancer Surveillance, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France.
Isabelle SoerjomataramSection of Cancer Surveillance, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France.
Mark George O'DohertyUKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, University Road, Belfast BT7 1NN, UK.
José Manuel Ordóñez-MenaNetwork Aging Research (NAR), Heidelberg University, Bergheimer Straße 20, 69115 Heidelberg, Germany.
Christina BamiaHellenic Health Foundation, 13 Kaisareias &Alexandroupoleos, Athens 115 27, Greece.
Ellen KampmanDepartment Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, PO Box 17, 6700AA Wageningen, The Netherlands.
Michael LeitzmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany.
Isabelle RomieuSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France.
Frank KeeUKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, University Road, Belfast BT7 1NN, UK.
Konstantinos TsilidisHellenic Health Foundation, 13 Kaisareias &Alexandroupoleos, Athens 115 27, Greece.
Anne TjønnelandDanish Cancer Society Research Center, Strandboulevarden 49, DK 2100 Copenhagen Ø Denmark.
Antonia TrichopoulouHellenic Health Foundation, 13 Kaisareias &Alexandroupoleos, Athens 115 27, Greece.
Paolo BoffettaHellenic Health Foundation, 13 Kaisareias &Alexandroupoleos, Athens 115 27, Greece.
Vassiliki BenetouHellenic Health Foundation, 13 Kaisareias &Alexandroupoleos, Athens 115 27, Greece.
H B As Bueno-de-MesquitaDepartment of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
José María HuertaDepartment of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Ronda de Levante, 11, 30008, Murcia, Spain.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany.
Tom WilsgaardDepartment of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway.
Mazda JenabSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France.
Centre International de Recherche sur le Cancer · FRHellenic Health Foundation · GRQueen's University Belfast · GBAgència de Salut Pública de Catalunya · ESDanish Cancer Society · DKGerman Cancer Research Center · DEIcahn School of Medicine at Mount Sinai · USImperial College London · GBNational and Kapodistrian University of Athens · GRNational Center for Tumor Diseases · DEUiT The Arctic University of Norway · NOUniversity of Ioannina · GRUniversity of Regensburg · DEWageningen University & Research · NL

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundWe evaluated the associations of anthropometric indicators of general obesity (body mass index, BMI), an established risk factor of various cancer, and body fat distribution (waist circumference, WC; hip circumference, HC; and waist-to-hip ratio, WHR), which may better reflect metabolic complications of obesity, with total obesity-related and site-specific (colorectal and postmenopausal breast) cancer incidence.

methodsThis is a meta-analysis of seven prospective cohort studies participating in the CHANCES consortium including 18 668 men and 24 751 women with a mean age of 62 and 63 years, respectively. Harmonised individual participant data from all seven cohorts were analysed separately and alternatively for each anthropometric indicator using multivariable Cox proportional hazards models.

resultsAfter a median follow-up period of 12 years, 1656 first-incident obesity-related cancers (defined as postmenopausal female breast, colorectum, lower oesophagus, cardia stomach, liver, gallbladder, pancreas, endometrium, ovary, and kidney) had occurred in men and women. In the meta-analysis of all studies, associations between indicators of adiposity, per s.d. increment, and risk for all obesity-related cancers combined yielded the following summary hazard ratios: 1.11 (95% CI 1.02-1.21) for BMI, 1.13 (95% CI 1.04-1.23) for WC, 1.09 (95% CI 0.98-1.21) for HC, and 1.15 (95% CI 1.00-1.32) for WHR. Increases in risk for colorectal cancer were 16%, 21%, 15%, and 20%, respectively per s.d. of BMI, WC, HC, and WHR. Effect modification by hormone therapy (HT) use was observed for postmenopausal breast cancer (P

conclusionsBMI, WC, HC, and WHR show comparable positive associations with obesity-related cancers combined and with colorectal cancer in older adults. For postmenopausal breast cancer we report evidence for effect modification by HT use.

Indexed as

Body Fat DistributionBody Mass IndexWaist CircumferenceWaist-Hip RatioAgedBreast NeoplasmsColorectal NeoplasmsEuropeFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedNeoplasmsObesity

Identifiers

PMID28441380
PMCPMC5520086
OpenAlexW2609284380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.