Outcomes and Trends of Prostate Biopsy for Prostate Cancer in Chinese Men from 2003 to 2011
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{"title"=>"Outcomes and Trends of Prostate Biopsy for Prostate Cancer in Chinese Men from 2003 to 2011", "type"=>"journal", "authors"=>[{"first_name"=>"Rong", "last_name"=>"Na"}, {"first_name"=>"Haowen", "last_name"=>"Jiang"}, {"first_name"=>"Seong-Tae", "last_name"=>"Kim"}, {"first_name"=>"Yishuo", "last_name"=>"Wu"}, {"first_name"=>"Shijun", "last_name"=>"Tong"}, {"first_name"=>"Limin", "last_name"=>"Zhang"}, {"first_name"=>"Jianfeng", "last_name"=>"Xu"}, {"first_name"=>"Yinghao", "last_name"=>"Sun"}, {"first_name"=>"Qiang", "last_name"=>"Ding"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0049914", "pmid"=>"23189170", "issn"=>"1932-6203"}, "id"=>"575032d9-1945-38f2-93ae-d1699c1cb581", "abstract"=>"BACKGROUND: Prostate-specific antigen (PSA) screening is growing in popularity in China, but its impact on biopsy characteristics and outcomes are poorly understood.\\n\\nOBJECTIVE: Our objective was to characterize prostate biopsy outcomes and trends in Chinese men over a 10-year period, since the increasing use of PSA tests.\\n\\nMETHODS: All men (n = 1,650) who underwent prostate biopsy for PCa at Huashan Hospital, Shanghai, China from 2003-2011 were evaluated. Demographic and clinical information was collected for each patient, including age, digital rectal examination (DRE), transrectal ultrasound (prostate volume and nodule), total prostate-specific antigen (tPSA) levels and free PSA ratio (fPSA/tPSA) prior to biopsy. Prostate biopsy was performed using six cores before October 2007 or ten cores thereafter. Logistic regression and multivariate analysis were used to evaluate our data.\\n\\nRESULTS: The overall positive rate of prostate biopsy for PCa was 47% and the rate decreased significantly over the years from 74% in 2003 to 33% in 2011 (P-trend = 0.004). Age at diagnosis was slightly increased (P-trend = 0.04) while fPSA/tPSA was significantly decreased (P-trend = 1.11×10-5). A statistically significant trend was not observed for tPSA levels, prostate volume, or proportion of positive nodule. The model including multiple demographic and clinical variables (i.e., age, DRE, tPSA, fPSA/tPSA and transrectal ultrasound results) (AUC = 0.93) statistically outperformed models that included only PSA (AUC = 0.85) or fPSA/tPSA (AUC = 0.66) to predict PCa risks (P<0.05). Similar results were observed in a subgroup of men whose tPSA levels were lower than 20 ng/mL (AUC = 0.87, vs. AUC of tPSA  = 0.62, P<0.05).\\n\\nCONCLUSIONS: Detection rates of PCa and high-grade PCa among men that underwent prostate biopsy at the institution has decreased significantly in the past 10 years, likely due to increasing use of PSA tests. Predictive performance of demographic and clinical variables of PCa was excellent. These variables should be used in clinics to determine the need for prostate biopsy.", "link"=>"http://www.mendeley.com/research/outcomes-trends-prostate-biopsy-prostate-cancer-chinese-men-2003-2011", "reader_count"=>6, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Master"=>2, "Other"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Master"=>2, "Other"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Medicine and Dentistry"=>1, "Business, Management and Accounting"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/537493"], "description"=>"°<p>The tPSA and fPSA values are antilogarithmic when calculating P-value, OR and AUC.</p>", "links"=>[], "tags"=>["urology", "oncology"], "article_id"=>207984, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.t002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_analysis_testing_the_association_between_each_variable_and_PCa_/207984", "title"=>"Univariate analysis (testing the association between each variable and PCa).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 19:48:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/537417"], "description"=>"<p>Different sensitivities and specificities in different tPSA cutoff level.</p>", "links"=>[], "tags"=>["sensitivities", "specificities", "tpsa", "cutoff"], "article_id"=>207905, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.t004", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Different_sensitivities_and_specificities_in_different_tPSA_cutoff_level_/207905", "title"=>"Different sensitivities and specificities in different tPSA cutoff level.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 19:48:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/537467"], "description"=>"*<p>Multivariate Model 1: Modeling by using 5 variables: age, logarithm of tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.</p>**<p>Multivariate Model 2: Modeling by using 6 variables: age, logarithm of tPSA, fPSA/tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.</p><p>-The tPSA and fPSA values are antilogarithmic when calculating AUC.</p>", "links"=>[], "tags"=>["tpsa", "multivariate", "predicting", "pca"], "article_id"=>207953, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.t003", "stats"=>{"downloads"=>1, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Performance_of_tPSA_only_and_Multivariate_model_for_predicting_PCa_and_high_grade_PCa_in_different_stratification_/207953", "title"=>"Performance of tPSA only and Multivariate model for predicting PCa and high grade PCa in different stratification.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 19:48:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/537270"], "description"=>"<p>The probability of having prostate cancer when undertaking prostate biopsy is raised from nearly 0% with tPSA<1.0 ng/mL to nearly 31% with tPSA = 50 ng/mL according to our study population. This figure can be use to predict the probability with tPSA level in the future.</p>", "links"=>[], "tags"=>["having", "prostate", "cancer", "psa", "biopsy"], "article_id"=>207752, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.g003", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Probability_of_having_prostate_cancer_with_increasing_PSA_in_biopsy_population_/207752", "title"=>"Probability of having prostate cancer with increasing PSA in biopsy population.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 19:47:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/537197"], "description"=>"<p>The percentage of ≥8 group trend to go downwards from 50% in 2004 to 27% in 2011 (<i>P<sub>trend</sub></i> = 2.08×10<sup>−7</sup>).</p>", "links"=>[], "tags"=>["gleason", "groups"], "article_id"=>207689, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.g002", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Trends_of_Gleason_Score_8804_6_8202_8202_7_8805_8_Groups_over_the_years_/207689", "title"=>"Trends of Gleason Score ≤6,  = 7, ≥8 Groups over the years.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 19:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/537131"], "description"=>"<p>There was a significant decrease in the percentage of tPSA levels over 20 ng/mL in PCa patients from 2003 to 2010 (<i>P<sub>trend</sub></i> = 2.26×10<sup>−5</sup>).</p>", "links"=>[], "tags"=>["tpsa", "levels", "20", "pca"], "article_id"=>207612, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.g001", "stats"=>{"downloads"=>3, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_percentage_of_tPSA_levels_over_20_ng_mL_in_PCa_patients_/207612", "title"=>"The percentage of tPSA levels over 20 ng/mL in PCa patients.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 19:46:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/537545"], "description"=>"*<p>No Data about Gleason Scores was available in 2003.</p>", "links"=>[], "tags"=>["prostate", "biopsies", "performed", "huashan"], "article_id"=>208029, "categories"=>["Cancer"], "users"=>["Rong Na", "Haowen Jiang", "Seong-Tae Kim", "Yishuo Wu", "Shijun Tong", "Limin Zhang", "Jianfeng Xu", "Yinghao Sun", "Qiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049914.t001", "stats"=>{"downloads"=>4, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristic_table_of_prostate_biopsies_performed_from_2003_8211_2011_in_Huashan_Hospital_Shanghai_China_/208029", "title"=>"Characteristic table of prostate biopsies performed from 2003–2011 in Huashan Hospital, Shanghai, China.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 19:48:49"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"17", "full-text"=>"21", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"2"}
  • {"unique-ip"=>"21", "full-text"=>"25", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"4"}
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  • {"unique-ip"=>"14", "full-text"=>"18", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"5"}
  • {"unique-ip"=>"14", "full-text"=>"19", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
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  • {"unique-ip"=>"10", "full-text"=>"12", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
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  • {"unique-ip"=>"11", "full-text"=>"10", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
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  • {"unique-ip"=>"5", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
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  • {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
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  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
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  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"5", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"8", "full-text"=>"6", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"4", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
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  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
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  • {"unique-ip"=>"4", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
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  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}

Relative Metric

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