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      • Record: found
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      Male pattern baldness and incidence of prostate cancer : A systematic review and meta-analysis

      review-article
      Author(s): , MD a , b , , MD c , ∗ , , MD a , ∗
      Editor(s):
      Publication date (Electronic):
      Journal: Medicine
      Publisher: Wolters Kluwer Health
      Keywords: male pattern baldness, meta-analysis, prostate cancer, risk

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          Abstract

          Background:

          The relationship between male pattern baldness and incidence of prostate cancer remains inconclusive. Hence, we performed the present meta-analysis based on all eligible cohort and case–control studies.

          Methods:

          A comprehensive literature search was performed in October 2017 based on PubMed and Web of Science databases. Pooled relative risk (RR) and its 95% confidence interval (95% CI) was calculated with a DerSimonian and Laird random-effects model.

          Results:

          A total of 15 studies were included in this meta-analysis. Overall, no statistically significant association between baldness (any pattern) and prostate cancer risk was identified (RR: 1.03, 95% CI 0.96–1.11). There was obvious heterogeneity across included studies ( P < .078 for heterogeneity, I 2  = 36.4%). When subgroup analysis by types of baldness, a statistically significant association was observed for vertex baldness (RR 1.24, 95% CI 1.05–1.46) but not for other types of baldness.

          Conclusion:

          Individuals with vertex baldness may have an increased risk of prostate cancer. Given the obvious heterogeneity and null results in overall analysis and most of subgroup analyses, further large well-designed prospective cohort studies are warranted to confirm our preliminary findings.

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          Most cited references26

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          Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study.

          Mariana Stern, Liesel Fitzgerald, Laura C. Woodhouse … (2011)
          Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of stage 3, in which we evaluated 1,536 SNPs in 4,574 individuals with prostate cancer (cases) and 4,164 controls. We followed up ten new association signals through genotyping in 51,311 samples in 30 studies from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. In addition to replicating previously reported loci, we identified seven new prostate cancer susceptibility loci on chromosomes 2p11, 3q23, 3q26, 5p12, 6p21, 12q13 and Xq12 (P = 4.0 × 10(-8) to P = 2.7 × 10(-24)). We also identified a SNP in TERT more strongly associated with PrCa than that previously reported. More than 40 PrCa susceptibility loci, explaining ∼25% of the familial risk in this disease, have now been identified.
          Article 0 comments Cited 108 times – based on 0 reviews     Review now
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            Combining risk estimates from observational studies with different exposure cutpoints: a meta-analysis on body mass index and diabetes type 2.

            Nienke Hartemink, Hendriek Boshuizen, Nico Nagelkerke … (2006)
            Studies on a dose-response relation often report separate relative risks for several risk classes compared with a referent class. When performing a meta-analysis of such studies, one has to convert these relative risks into an overall relative risk for a continuous effect. Apart from taking the dependence between separate relative risks into account, this implies assigning an exposure level to each risk factor class and allowing for the nonlinearity of the dose-response relation. The authors describe a relatively simple method solving these problems. As an illustration, they applied this method in a meta-analysis of the association between body mass index and diabetes type 2, restricted to results of follow-up studies (n=31). Results were compared with a more ad hoc method of assigning exposure levels and with a method in which the nonlinearity of the dose-response method was not taken into account. Differences with the ad hoc method were larger in studies with fewer categories. Not incorporating the nonlinearity of the dose response leads to an overestimation of the pooled relative risk, but this bias is relatively small.
            Article 0 comments Cited 77 times – based on 0 reviews     Review now
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              More than numbers: the power of graphs in meta-analysis.

              Harukazu Tsuruta, K. G. M. Moons, Naohito Fukui … (2009)
              In meta-analysis, the assessment of graphs is widely used in an attempt to identify or rule out heterogeneity and publication bias. A variety of graphs are available for this purpose. To date, however, there has been no comparative evaluation of the performance of these graphs. With the objective of assessing the reproducibility and validity of graph ratings, the authors simulated 100 meta-analyses from 4 scenarios that covered situations with and without heterogeneity and publication bias. From each meta-analysis, the authors produced 11 types of graphs (box plot, weighted box plot, standardized residual histogram, normal quantile plot, forest plot, 3 kinds of funnel plots, trim-and-fill plot, Galbraith plot, and L'Abbé plot), and 3 reviewers assessed the resulting 1,100 plots. The intraclass correlation coefficients (ICCs) for reproducibility of the graph ratings ranged from poor (ICC = 0.34) to high (ICC = 0.91). Ratings of the forest plot and the standardized residual histogram were best associated with parameter heterogeneity. Association between graph ratings and publication bias (censorship of studies) was poor. Meta-analysts should be selective in the graphs they choose for the exploration of their data.
              Article 0 comments Cited 68 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Medicine (Baltimore)
                Journal ID (iso-abbrev): Medicine (Baltimore)
                Journal ID (publisher-id): MEDI
                Title: Medicine
                Publisher: Wolters Kluwer Health
                ISSN (Print): 0025-7974
                ISSN (Electronic): 1536-5964
                Publication date Collection: July 2018
                Publication date (Electronic): 13 July 2018
                Volume: 97
                Issue: 28
                Electronic Location Identifier: e11379
                Affiliations
                [a ]Department of Urology, First Affiliated Hospital, School of Medicine, Zhejiang University
                [b ]Department of Urology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine
                [c ]Department of Urology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China.
                Author notes
                [∗ ]Correspondence: Bo Xie, Department of Urology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (e-mail: drxiebo2012@ 123456163.com ); Liping Xie, Department of Urology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China (e-mail: xielp@ 123456zju.edu.cn ).
                Article
                Publisher ID: MD-D-18-01136 Accession ID: 11379
                DOI: 10.1097/MD.0000000000011379
                PMC ID: 6076190
                PubMed ID: 29995779
                SO-VID: 5840b3e4-274c-4575-a3e8-ac93dc82fc86
                Copyright © Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc.
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

                History
                Date received : 9 February 2018
                Date accepted : 10 June 2018
                Categories
                Subject: 7300
                Subject: Research Article
                Subject: Systematic Review and Meta-Analysis
                Custom metadata
                OPEN-ACCESS TRUE

                Keywords: male pattern baldness,meta-analysis,prostate cancer,risk
                Data availability:
                Keywords: male pattern baldness, meta-analysis, prostate cancer, risk

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