Long-term prediction of prostate cancer diagnosis and death using PSA and obesity related anthropometrics at early middle age : Data from the malmö preventive project
(2018) In Oncotarget 9(5). p.5778-5785- Abstract
Objectives: To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. Results: After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013) and 1.14 (95% CI 1.02, 1.26; p = 0.016) times greater, respectively. AUCs did not meaningfully increase with the addition of weight or BMI to prediction models including PSA. Materials and Methods: In 1974 to 1986, 22,444 Swedish men aged 44 to 50 enrolled in Malmö Preventive Project, Sweden, and provided blood samples and anthropometric data.... (More)
Objectives: To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. Results: After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013) and 1.14 (95% CI 1.02, 1.26; p = 0.016) times greater, respectively. AUCs did not meaningfully increase with the addition of weight or BMI to prediction models including PSA. Materials and Methods: In 1974 to 1986, 22,444 Swedish men aged 44 to 50 enrolled in Malmö Preventive Project, Sweden, and provided blood samples and anthropometric data. Rates of PSA screening in the cohort were very low. Documentation of PCa diagnosis and disease-specific death up to 2014 was retrieved through national registries. Among men with anthropometric measurements available at baseline, a total of 1692 men diagnosed with PCa were matched to 4190 controls, and 464 men who died of disease were matched to 1390 controls. Multivariable conditional logistic regression was used to determine whether diagnosis or death from PCa were associated with weight and body mass index (BMI) at adulthood after adjusting for PSA. Conclusions: Men with higher BMI and weight at early middle age have an increased risk of PCa diagnosis and death after adjusting for PSA. However, in a multivariable numerical statistical model, BMI and weight do not importantly improve the predictive accuracy of PSA. Risk-stratification of screening should be based on PSA without reference to anthropometrics.
(Less)
- author
- Assel, Melissa J. ; Gerdtsson, Axel LU ; Thorek, Daniel L.J. ; Carlsson, Sigrid V. LU ; Malm, Johan LU ; Scardino, Peter T. ; Vickers, Andrew ; Lilja, Hans LU and Ulmert, David LU
- organization
-
- Department of Translational Medicine
- Surgery (research group)
- Mass Spectrometry
- Clinical Protein Science and Imaging (research group)
- Clinical Chemistry, Malmö (research group)
- EpiHealth: Epidemiology for Health
- BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
- Tumor microenvironment
- publishing date
- 2018
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- BMI, Obesity, Prostate cancer, PSA, Weight
- in
- Oncotarget
- volume
- 9
- issue
- 5
- pages
- 8 pages
- publisher
- Impact Journals
- external identifiers
-
- scopus:85040661689
- pmid:29464033
- ISSN
- 1949-2553
- DOI
- 10.18632/oncotarget.22981
- language
- English
- LU publication?
- yes
- id
- 3da68227-6703-4e43-b704-ae2c789886b7
- date added to LUP
- 2018-02-26 17:19:49
- date last changed
- 2024-06-24 10:30:04
@article{3da68227-6703-4e43-b704-ae2c789886b7, abstract = {{<p>Objectives: To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. Results: After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013) and 1.14 (95% CI 1.02, 1.26; p = 0.016) times greater, respectively. AUCs did not meaningfully increase with the addition of weight or BMI to prediction models including PSA. Materials and Methods: In 1974 to 1986, 22,444 Swedish men aged 44 to 50 enrolled in Malmö Preventive Project, Sweden, and provided blood samples and anthropometric data. Rates of PSA screening in the cohort were very low. Documentation of PCa diagnosis and disease-specific death up to 2014 was retrieved through national registries. Among men with anthropometric measurements available at baseline, a total of 1692 men diagnosed with PCa were matched to 4190 controls, and 464 men who died of disease were matched to 1390 controls. Multivariable conditional logistic regression was used to determine whether diagnosis or death from PCa were associated with weight and body mass index (BMI) at adulthood after adjusting for PSA. Conclusions: Men with higher BMI and weight at early middle age have an increased risk of PCa diagnosis and death after adjusting for PSA. However, in a multivariable numerical statistical model, BMI and weight do not importantly improve the predictive accuracy of PSA. Risk-stratification of screening should be based on PSA without reference to anthropometrics.</p>}}, author = {{Assel, Melissa J. and Gerdtsson, Axel and Thorek, Daniel L.J. and Carlsson, Sigrid V. and Malm, Johan and Scardino, Peter T. and Vickers, Andrew and Lilja, Hans and Ulmert, David}}, issn = {{1949-2553}}, keywords = {{BMI; Obesity; Prostate cancer; PSA; Weight}}, language = {{eng}}, number = {{5}}, pages = {{5778--5785}}, publisher = {{Impact Journals}}, series = {{Oncotarget}}, title = {{Long-term prediction of prostate cancer diagnosis and death using PSA and obesity related anthropometrics at early middle age : Data from the malmö preventive project}}, url = {{http://dx.doi.org/10.18632/oncotarget.22981}}, doi = {{10.18632/oncotarget.22981}}, volume = {{9}}, year = {{2018}}, }