Evidence map›Paper›PMID 39253735›Full record

ArticleThe Lancet regional health. Europe2024

Body mass index and risk of over 100 cancer forms and subtypes in 4.1 million individuals in Sweden: the Obesity and Disease Development Sweden (ODDS) pooled cohort study.

Ming Sun, Marisa da Silva, Tone Bjørge, Josef Fritz, Innocent B Mboya, Mats Jerkeman, Pär Stattin, Jens Wahlström, Karl Michaëlsson, Bethany van Guelpen and 16 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 6 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

49 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Life Course Trajectories of Body Mass Index and Risk of Cancer in Adulthood: Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  9. Anthropometric factors, physical activity, and the risk of soft tissue sarcoma: a case-control study.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2026
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  11. Energy Balance-Related Factors and Direct Tumor-Adipocyte Contact in Colorectal Cancer: Etiologic Insights from the Population-Based Netherlands Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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.

Ming SunDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Marisa da SilvaDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Tone BjørgeDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Josef FritzDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Innocent B MboyaDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Mats JerkemanDivision of Oncology, Lund University, Lund, Sweden.
Pär StattinDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Jens WahlströmSection of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Karl MichaëlssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Bethany van GuelpenDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
Patrik K E MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sven SandinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Weiyao YinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ylva Trolle LagerrosDivision of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
Weimin YeDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Bright NwaruKrefting Research Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Hannu KankaanrantaKrefting Research Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Lena LönnbergCenter for Clinical Research, Region Västmanland, Uppsala University, Västerås, Sweden.
Abbas ChabokCenter for Clinical Research, Region Västmanland, Uppsala University, Västerås, Sweden.
Karolin IsakssonDepartment of Clinical Sciences Lund, Lund University, Lund, Sweden.
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sölve ElmståhlDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Linnea HedmanSection of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Christel HäggströmNorthern Registry Centre, Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden.
Tanja StocksDepartment of Translational Medicine, Lund University, Malmö, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity, assessed by body mass index (BMI), is an established risk factor for 13 cancers. We aimed to identify further potential obesity-related cancers and to quantify their association with BMI relative to that of established obesity-related cancers. Methods: Using Cox regression models on 4,142,349 individuals in Sweden (mean age 27.1 years at weight measurement), we calculated hazard ratios (HRs) for the association between BMI and the risk of 122 cancers and cancer subtypes, grouped by topography and morphology. Cancers with a positive association (i.e., HR >1) at an α-level of 0.05 for obesity (BMI ≥30 kg/m Findings: After 100.2 million person-years of follow-up, 332,501 incident cancer cases were recorded. We identified 15 cancers in men and 16 in women as potentially obesity related. These were cancers of the head and neck, gastrointestinal tract, malignant melanoma, genital organs, endocrine organs, connective tissue, and haematological malignancies. Among these, there was evidence of differential associations with BMI between subtypes of gastric cancer, small intestine cancer, cervical cancer, and lymphoid neoplasms (P values for heterogeneity in HRs <0.05). The HR (95% confidence interval) per 5 kg/m Interpretation: This study suggests a large number of potential obesity-related cancers could be added to already established ones. Importantly, the magnitudes of the associations were largely comparable to those of the already established obesity-related cancers. We also provide evidence of specific cancer subtypes driving some associations with BMI. Studies accounting for cancer-specific confounders are needed to confirm these findings. Funding: Swedish Research Council, Swedish Cancer Society, Mrs. Berta Kamprad's Cancer Foundation, Crafoord Foundation, Cancer Research Foundation at the Department of Oncology, Malmö University Hospital, and China Scholarship Council.

Indexed as

Body mass indexCancerObesity

Identifiers

PMID39253735
PMCPMC11381908

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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.