98 datasets found
  1. f

    Primary and secondary outcomes after 2 years’ follow-up: Adjusted multilevel...

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    xls
    Updated Jun 2, 2023
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    Jacob Fredsøe; Jan Koetsenruyter; Peter Vedsted; Pia Kirkegaard; Michael Væth; Adrian Edwards; Torben F. Ørntoft; Karina D. Sørensen; Flemming Bro (2023). Primary and secondary outcomes after 2 years’ follow-up: Adjusted multilevel logistic regression model (OR). [Dataset]. http://doi.org/10.1371/journal.pmed.1003033.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Jacob Fredsøe; Jan Koetsenruyter; Peter Vedsted; Pia Kirkegaard; Michael Væth; Adrian Edwards; Torben F. Ørntoft; Karina D. Sørensen; Flemming Bro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Primary and secondary outcomes after 2 years’ follow-up: Adjusted multilevel logistic regression model (OR).

  2. f

    The effect of assessing genetic risk of prostate cancer on the use of PSA...

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    Updated May 30, 2023
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    Jacob Fredsøe; Jan Koetsenruyter; Peter Vedsted; Pia Kirkegaard; Michael Væth; Adrian Edwards; Torben F. Ørntoft; Karina D. Sørensen; Flemming Bro (2023). The effect of assessing genetic risk of prostate cancer on the use of PSA tests in primary care: A cluster randomized controlled trial [Dataset]. http://doi.org/10.1371/journal.pmed.1003033
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Jacob Fredsøe; Jan Koetsenruyter; Peter Vedsted; Pia Kirkegaard; Michael Væth; Adrian Edwards; Torben F. Ørntoft; Karina D. Sørensen; Flemming Bro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundAssessing genetic lifetime risk for prostate cancer has been proposed as a means of risk stratification to identify those for whom prostate-specific antigen (PSA) testing is likely to be most valuable. This project aimed to test the effect of introducing a genetic test for lifetime risk of prostate cancer in general practice on future PSA testing.Methods and findingsWe performed a cluster randomized controlled trial with randomization at the level of general practices (73 in each of two arms) in the Central Region (Region Midtjylland) of Denmark. In intervention practices, men were offered a genetic test (based on genotyping of 33 risk-associated single nucleotide polymorphisms) in addition to the standard PSA test that informed them about lifetime genetic risk of prostate cancer and distinguished between “normal” and “high” risk. The primary outcome was the proportion of men having a repeated PSA test within 2 years. A multilevel logistic regression model was used to test the association.After applying the exclusion criteria, 3,558 men were recruited in intervention practices, with 1,235 (34.7%) receiving the genetic test, and 4,242 men were recruited in control practices. Men with high genetic risk had a higher propensity for repeated PSA testing within 2 years than men with normal genetic risk (odds ratio [OR] = 8.94, p < 0.01). The study was conducted in routine practice and had some selection bias, which is evidenced by the relatively large proportion of younger and higher income participants taking the genetic test.ConclusionsProviding general practitioners (GPs) with access to a genetic test to assess lifetime risk of prostate cancer did not reduce the overall number of future PSA tests. However, among men who had a genetic test, knowledge of genetic risk significantly influenced future PSA testing.Trial registrationThis study is registered with ClinicalTrials.gov, number NCT01739062.

  3. f

    Table_1_Investigation of awareness rate of prostate-specific antigen (PSA)...

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    xlsx
    Updated May 31, 2023
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    Yuqin Wang; Mukun Xiao; Yueying Zhang; Zhiwei Hong; Ruochen Zhang; Qingjiang Xu; Le Lin; Yongbao Wei (2023). Table_1_Investigation of awareness rate of prostate-specific antigen (PSA) among the general public in China and analysis of influencing factors.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2023.1080800.s001
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Yuqin Wang; Mukun Xiao; Yueying Zhang; Zhiwei Hong; Ruochen Zhang; Qingjiang Xu; Le Lin; Yongbao Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveThis study aimed to evaluate the awareness rate of prostate-specific antigen (PSA) among the general public in China and provide data about prostate cancer (PCa) for related scientific research.MethodsA cross-sectional survey of PSA awareness was conducted in multiple regional populations using an online questionnaire. The questionnaire included basic information, knowledge about PCa, the awareness rate and application of PSA, and future expectations toward applying PSA screening in clinical practice. The study applied the methods of Pearson chi-square analysis and Logistic regression analysis.ResultsA total of 493 valid questionnaires were included. Two hundred and nineteen respondents (44.4%) were males, and 274 (55.6%) were females. Of all respondents, 212 (43.0%) were under 20 years old, 147 (29.8%) were 20–30 years old, 74 (15.0%) were 30–40 years old, and 60 (12.2%) were over 40 years old. There are 310 people (62.9%) with medical educational background and 183 (37.1%) without. One hundred eighty-seven (37.9%) of the respondents were aware of PSA, and 306 (62.1%) were unaware of PSA. Statistically significant differences were obtained between the two groups regarding different ages, educational backgrounds, occupations, departments, and habits of knowing medical knowledge (all p < 0.05). In addition, the differences between the group of aware of PSA (AP) and the group unaware of PSA (UAP) in terms of whether they had been exposed to PSA screening and whether they had exposure to PCa patients or related knowledge were also observed (all p < 0.05). Age ≥30 years, medical educational background, understanding of medical knowledge, exposure to PCa patients or related knowledge, exposure to PSA screening, and status as a graduate student and above were independent factors for the occurrence of PSA awareness events (all p < 0.05). In addition, age ≥ 30 years, medical educational background, and awareness of PSA were independent factors for future expectations toward PSA (all p < 0.05).ConclusionsWe first analyzed the public awareness of PSA. Cognition degrees of PSA and PCa awareness vary among different populations in China. Therefore, we should designate corresponding widespread scientific educational programs for different populations to increase the awareness rate of PSA.

  4. f

    Association of clinical and pathologic staging with risk of lethal prostate...

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    xls
    Updated Jun 4, 2023
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    Maxine M. Chen; Jaquelyn L. Jahn; John R. Barber; Misop Han; Meir J. Stampfer; Elizabeth A. Platz; Kathryn L. Penney (2023). Association of clinical and pathologic staging with risk of lethal prostate cancer among men who underwent radical prostatectomy for clinically localized prostate cancer, HPFS and PHS, 1981–2015. [Dataset]. http://doi.org/10.1371/journal.pone.0234391.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maxine M. Chen; Jaquelyn L. Jahn; John R. Barber; Misop Han; Meir J. Stampfer; Elizabeth A. Platz; Kathryn L. Penney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Association of clinical and pathologic staging with risk of lethal prostate cancer among men who underwent radical prostatectomy for clinically localized prostate cancer, HPFS and PHS, 1981–2015.

  5. f

    Clinical characteristics of men diagnosed with prostate cancer who underwent...

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    xls
    Updated Jun 2, 2023
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    Maxine M. Chen; Jaquelyn L. Jahn; John R. Barber; Misop Han; Meir J. Stampfer; Elizabeth A. Platz; Kathryn L. Penney (2023). Clinical characteristics of men diagnosed with prostate cancer who underwent radical prostatectomy for clinically localized prostate cancer in HPFS, PHS, and the JH RRP cohort. [Dataset]. http://doi.org/10.1371/journal.pone.0234391.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maxine M. Chen; Jaquelyn L. Jahn; John R. Barber; Misop Han; Meir J. Stampfer; Elizabeth A. Platz; Kathryn L. Penney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Clinical characteristics of men diagnosed with prostate cancer who underwent radical prostatectomy for clinically localized prostate cancer in HPFS, PHS, and the JH RRP cohort.

  6. f

    Systematic evaluation of written health information on PSA based screening...

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    Updated Jun 2, 2023
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    Simone Beck; Birgit Borutta; Ulla Walter; Maren Dreier (2023). Systematic evaluation of written health information on PSA based screening in Germany [Dataset]. http://doi.org/10.1371/journal.pone.0220745
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Simone Beck; Birgit Borutta; Ulla Walter; Maren Dreier
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    BackgroundProstate-specific antigen (PSA) based screening for early detection of prostate cancer is common although it is associated with both benefits and potential harms (e.g., the risk of overdiagnosis). Evidence-based health information could help individuals make informed decisions about whether to undergo PSA testing or not. This evaluation aimed to determine whether the written health information materials available in Germany provide appropriate information for informed decision-making on PSA based screening.MethodsA list of criteria was developed and used to systematically assess the quality of information on the benefits and harms of prostate cancer screening included in written health information materials. Fourteen information materials identified by information requests and online searches were evaluated independently by two of three reviewers. Consensus was achieved with a third reviewer.ResultsOf the 14 information materials evaluated, 10 (71%) list the ability to reduce the absolute risk of death from prostate cancer as a benefit of PSA testing, 9 (64%) point out the risks of follow-up diagnostics, 13 (93%) describe the risks of the available prostate cancer treatments, and all 14 specify the risk of overdiagnosis. The minority provide numerical data on benefits and risks. Partially mismatched framing was identified in four cases: two information materials report only the relative frequencies of benefits, and two report only the absolute frequencies of harms. Half of the materials encouraged participation using downplaying or frightening language.ConclusionsThe majority of health information materials in Germany describe the benefits and harms of PSA based screening, including overdiagnosis, but often lack adequate balance, neutrality and numbers.

  7. f

    Characteristics of patients with PSA failure.

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    xls
    Updated Jun 13, 2023
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    Yosuke Takakusagi; Takahiro Oike; Kio Kano; Wataru Anno; Keisuke Tsuchida; Nobutaka Mizoguchi; Itsuko Serizawa; Daisaku Yoshida; Hiroyuki Katoh; Tadashi Kamada (2023). Characteristics of patients with PSA failure. [Dataset]. http://doi.org/10.1371/journal.pone.0241636.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yosuke Takakusagi; Takahiro Oike; Kio Kano; Wataru Anno; Keisuke Tsuchida; Nobutaka Mizoguchi; Itsuko Serizawa; Daisaku Yoshida; Hiroyuki Katoh; Tadashi Kamada
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of patients with PSA failure.

  8. Predictive significance of clinical factors for the occurrence of PSA...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Yosuke Takakusagi; Takahiro Oike; Kio Kano; Wataru Anno; Keisuke Tsuchida; Nobutaka Mizoguchi; Itsuko Serizawa; Daisaku Yoshida; Hiroyuki Katoh; Tadashi Kamada (2023). Predictive significance of clinical factors for the occurrence of PSA failure. [Dataset]. http://doi.org/10.1371/journal.pone.0241636.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yosuke Takakusagi; Takahiro Oike; Kio Kano; Wataru Anno; Keisuke Tsuchida; Nobutaka Mizoguchi; Itsuko Serizawa; Daisaku Yoshida; Hiroyuki Katoh; Tadashi Kamada
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Predictive significance of clinical factors for the occurrence of PSA failure.

  9. f

    List of 47 assessment criteria by categories (n = 5) and subcategories (n =...

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    xls
    Updated Jun 1, 2023
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    Simone Beck; Birgit Borutta; Ulla Walter; Maren Dreier (2023). List of 47 assessment criteria by categories (n = 5) and subcategories (n = 11). [Dataset]. http://doi.org/10.1371/journal.pone.0220745.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Simone Beck; Birgit Borutta; Ulla Walter; Maren Dreier
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    List of 47 assessment criteria by categories (n = 5) and subcategories (n = 11).

  10. f

    Patient characteristics (n = 85).

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    xls
    Updated Jun 13, 2023
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    Yosuke Takakusagi; Takahiro Oike; Kio Kano; Wataru Anno; Keisuke Tsuchida; Nobutaka Mizoguchi; Itsuko Serizawa; Daisaku Yoshida; Hiroyuki Katoh; Tadashi Kamada (2023). Patient characteristics (n = 85). [Dataset]. http://doi.org/10.1371/journal.pone.0241636.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yosuke Takakusagi; Takahiro Oike; Kio Kano; Wataru Anno; Keisuke Tsuchida; Nobutaka Mizoguchi; Itsuko Serizawa; Daisaku Yoshida; Hiroyuki Katoh; Tadashi Kamada
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Patient characteristics (n = 85).

  11. f

    Summary statistics by treatment arm.

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Jonathan Salcedo; Monica Rosales; Jeniffer S. Kim; Daisy Nuno; Sze-chuan Suen; Alicia H. Chang (2023). Summary statistics by treatment arm. [Dataset]. http://doi.org/10.1371/journal.pone.0254950.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jonathan Salcedo; Monica Rosales; Jeniffer S. Kim; Daisy Nuno; Sze-chuan Suen; Alicia H. Chang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics by treatment arm.

  12. f

    Cross-sectional analysis of the % differences in mean serum PSA level...

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    xls
    Updated Jun 18, 2023
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    Visalini Nair-Shalliker; Sam Egger; Agata Chrzanowska; Rebecca Mason; Louise Waite; David Le Couteur; Markus J. Seibel; David J. Handelsman; Robert Cumming; David P. Smith; Bruce K. Armstrong (2023). Cross-sectional analysis of the % differences in mean serum PSA level according participant characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0193893.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Visalini Nair-Shalliker; Sam Egger; Agata Chrzanowska; Rebecca Mason; Louise Waite; David Le Couteur; Markus J. Seibel; David J. Handelsman; Robert Cumming; David P. Smith; Bruce K. Armstrong
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Cross-sectional analysis of the % differences in mean serum PSA level according participant characteristics.

  13. f

    Frequency of Propionibacterium acnes Infection in Prostate Glands with...

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    tiff
    Updated Jun 1, 2023
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    Tomoya Kakegawa; Yuan Bae; Takashi Ito; Keisuke Uchida; Masaki Sekine; Yutaka Nakajima; Asuka Furukawa; Yoshimi Suzuki; Jiro Kumagai; Takumi Akashi; Yoshinobu Eishi (2023). Frequency of Propionibacterium acnes Infection in Prostate Glands with Negative Biopsy Results Is an Independent Risk Factor for Prostate Cancer in Patients with Increased Serum PSA Titers [Dataset]. http://doi.org/10.1371/journal.pone.0169984
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tomoya Kakegawa; Yuan Bae; Takashi Ito; Keisuke Uchida; Masaki Sekine; Yutaka Nakajima; Asuka Furukawa; Yoshimi Suzuki; Jiro Kumagai; Takumi Akashi; Yoshinobu Eishi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundPropionibacterium acnes has recently been implicated as a cause of chronic prostatitis and this commensal bacterium may be linked to prostate carcinogenesis. The occurrence of intracellular P. acnes infection in prostate glands and the higher frequency of P. acnes-positive glands in radical prostatectomy specimens from patients with prostate cancer (PCa) than in those from patients without PCa led us to examine whether the P. acnes-positive gland frequency can be used to assess the risk for PCa in patients whose first prostate biopsy, performed due to an increased prostate-specific antigen (PSA) titer, was negative.MethodsWe retrospectively collected the first and last prostate biopsy samples from 44 patients that were diagnosed PCa within 4 years after the first negative biopsy and from 36 control patients with no PCa found in repeated biopsy for at least 3 years after the first biopsy. We evaluated P. acnes-positive gland frequency and P. acnes-positive macrophage number using enzyme-immunohistochemistry with a P. acnes-specific monoclonal antibody (PAL antibody).ResultsThe frequency of P. acnes-positive glands was higher in PCa samples than in control samples in both first biopsy samples and in combined first and last biopsy samples (P < 0.001). A frequency greater than the threshold (18.5 and 17.7, respectively) obtained by each receiver operating characteristic curve was an independent risk factor for PCa (P = 0.003 and 0.001, respectively) with odds ratios (14.8 and 13.9, respectively) higher than those of serum PSA titers of patients just before each biopsy (4.6 and 2.3, respectively). The number of P. acnes-positive macrophages did not differ significantly between PCa and control samples.ConclusionsThese results suggested that the frequency of P. acnes-positive glands in the first negative prostate biopsy performed due to increased PSA titers can be supportive information for urologists in planning repeated biopsy or follow-up strategies.

  14. f

    Unadjusted Prognostic effect and adjusted prognostic effect of PSA on...

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    xls
    Updated Jun 1, 2023
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    Bethany Pitcher; Leila Khoja; Robert J. Hamilton; Kald Abdallah; Melania Pintilie; Anthony M. Joshua (2023). Unadjusted Prognostic effect and adjusted prognostic effect of PSA on overall survival. [Dataset]. http://doi.org/10.1371/journal.pone.0170544.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bethany Pitcher; Leila Khoja; Robert J. Hamilton; Kald Abdallah; Melania Pintilie; Anthony M. Joshua
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Unadjusted Prognostic effect and adjusted prognostic effect of PSA on overall survival.

  15. f

    Logistic regression analysis with the mean score of P. acnes-positive...

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    • plos.figshare.com
    xls
    Updated Jun 19, 2023
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    Tomoya Kakegawa; Yuan Bae; Takashi Ito; Keisuke Uchida; Masaki Sekine; Yutaka Nakajima; Asuka Furukawa; Yoshimi Suzuki; Jiro Kumagai; Takumi Akashi; Yoshinobu Eishi (2023). Logistic regression analysis with the mean score of P. acnes-positive glands. [Dataset]. http://doi.org/10.1371/journal.pone.0169984.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tomoya Kakegawa; Yuan Bae; Takashi Ito; Keisuke Uchida; Masaki Sekine; Yutaka Nakajima; Asuka Furukawa; Yoshimi Suzuki; Jiro Kumagai; Takumi Akashi; Yoshinobu Eishi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Logistic regression analysis with the mean score of P. acnes-positive glands.

  16. Model results under base case and scenario analyses.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Jonathan Salcedo; Monica Rosales; Jeniffer S. Kim; Daisy Nuno; Sze-chuan Suen; Alicia H. Chang (2023). Model results under base case and scenario analyses. [Dataset]. http://doi.org/10.1371/journal.pone.0254950.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jonathan Salcedo; Monica Rosales; Jeniffer S. Kim; Daisy Nuno; Sze-chuan Suen; Alicia H. Chang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Model results under base case and scenario analyses.

  17. f

    Laboratory monitoring during first treatment course with MTX.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Felien T. M. Busger op Vollenbroek; Carine J. M. Doggen; René W. A. Janssens; Hein J. Bernelot Moens (2023). Laboratory monitoring during first treatment course with MTX. [Dataset]. http://doi.org/10.1371/journal.pone.0194401.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Felien T. M. Busger op Vollenbroek; Carine J. M. Doggen; René W. A. Janssens; Hein J. Bernelot Moens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Laboratory monitoring during first treatment course with MTX.

  18. f

    Assessment of a prognostic model, PSA metrics and toxicities in metastatic...

    • plos.figshare.com
    docx
    Updated May 30, 2023
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    Bethany Pitcher; Leila Khoja; Robert J. Hamilton; Kald Abdallah; Melania Pintilie; Anthony M. Joshua (2023). Assessment of a prognostic model, PSA metrics and toxicities in metastatic castrate resistant prostate cancer using data from Project Data Sphere (PDS) [Dataset]. http://doi.org/10.1371/journal.pone.0170544
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bethany Pitcher; Leila Khoja; Robert J. Hamilton; Kald Abdallah; Melania Pintilie; Anthony M. Joshua
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundPrognostic models in metastatic castrate resistant prostate cancer (mCRPC) may have clinical utility. Using data from PDS, we aimed to 1) validate a contemporary prognostic model (Templeton et al., 2014) 2) evaluate prognostic impact of concomitant medications and PSA decrease 3) evaluate factors associated with docetaxel toxicity.MethodsWe accessed data on 2,449 mCRPC patients in PDS. The existing model was validated with a continuous risk score, time-dependent receiver operating characteristic (ROC) curves, and corresponding time-dependent Area under the Curve (tAUC). The prognostic effects of concomitant medications and PSA response were assessed by Cox proportional hazards models. One year tAUC was calculated for multivariable prognostic model optimized to our data. Conditional logistic regression models were used to assess associations with grade 3/4 adverse events (G3/4 AE) at baseline and after cycle 1 of treatment.ResultsDespite limitations of the PDS data set, the existing model was validated; one year AUC, was 0.68 (95% CI 95% CI, .66 to .71) to 0.78 (95%CI, .74 to .81) depending on the subset of datasets used. A new model was constructed with an AUC of .74 (.72 to .77). Concomitant medications low molecular weight heparin and warfarin were associated with poorer survival, Metformin and Cox2 inhibitors were associated with better outcome. PSA response was associated with survival, the effect of which was greatest early in follow-up. Age was associated with baseline risk of G3/4 AE. The odds of experiencing G3/4 AE later on in treatment were significantly greater for subjects who experienced a G3/4 AE in their first cycle (OR 3.53, 95% CI 2.53–4.91, p < .0001).ConclusionDespite heterogeneous data collection protocols, PDS provides access to large datasets for novel outcomes analysis. In this paper, we demonstrate its utility for validating existing models and novel model generation including the utility of concomitant medications in outcome analyses, as well as the effect of PSA response on survival and toxicity prediction.

  19. f

    Characteristics of patients with psoriasis or psoriatic arthritis.

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
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    Felien T. M. Busger op Vollenbroek; Carine J. M. Doggen; René W. A. Janssens; Hein J. Bernelot Moens (2023). Characteristics of patients with psoriasis or psoriatic arthritis. [Dataset]. http://doi.org/10.1371/journal.pone.0194401.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Felien T. M. Busger op Vollenbroek; Carine J. M. Doggen; René W. A. Janssens; Hein J. Bernelot Moens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of patients with psoriasis or psoriatic arthritis.

  20. Clinicopathologic profiles of the patients.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Tomoya Kakegawa; Yuan Bae; Takashi Ito; Keisuke Uchida; Masaki Sekine; Yutaka Nakajima; Asuka Furukawa; Yoshimi Suzuki; Jiro Kumagai; Takumi Akashi; Yoshinobu Eishi (2023). Clinicopathologic profiles of the patients. [Dataset]. http://doi.org/10.1371/journal.pone.0169984.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tomoya Kakegawa; Yuan Bae; Takashi Ito; Keisuke Uchida; Masaki Sekine; Yutaka Nakajima; Asuka Furukawa; Yoshimi Suzuki; Jiro Kumagai; Takumi Akashi; Yoshinobu Eishi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Clinicopathologic profiles of the patients.

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Jacob Fredsøe; Jan Koetsenruyter; Peter Vedsted; Pia Kirkegaard; Michael Væth; Adrian Edwards; Torben F. Ørntoft; Karina D. Sørensen; Flemming Bro (2023). Primary and secondary outcomes after 2 years’ follow-up: Adjusted multilevel logistic regression model (OR). [Dataset]. http://doi.org/10.1371/journal.pmed.1003033.t003

Primary and secondary outcomes after 2 years’ follow-up: Adjusted multilevel logistic regression model (OR).

Related Article
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2 scholarly articles cite this dataset (View in Google Scholar)
xlsAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
PLOS Medicine
Authors
Jacob Fredsøe; Jan Koetsenruyter; Peter Vedsted; Pia Kirkegaard; Michael Væth; Adrian Edwards; Torben F. Ørntoft; Karina D. Sørensen; Flemming Bro
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Primary and secondary outcomes after 2 years’ follow-up: Adjusted multilevel logistic regression model (OR).

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