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Showing 1 - 20 results of 7,350 for search '(( third ((age decrease) OR (mean decrease)) ) OR ( _ patient decrease ))', query time: 0.45s Refine Results
  1. 1
    Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  2. 2
    Additional file 3 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 3 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  3. 3
    Annual treatment frequencies in all eyes.

    Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
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  4. 4
    Annual number of outpatient visits in all eyes.

    Annual number of outpatient visits in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
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  5. 5
    Time course of central retinal thickness (CRT) in recurrence and non-recurrence groups.

    Time course of central retinal thickness (CRT) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  6. 6
    Annual treatment frequencies in recurrence and non-recurrence groups.

    Annual treatment frequencies in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  7. 7
    Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescriptions).

    Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

    Published 2024
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  8. 8
    Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0).

    Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0). by Thomas Hanslmeier (19949694)

    Published 2024
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  9. 9
    Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n = 269.151prescriptions).

    Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n... by Thomas Hanslmeier (19949694)

    Published 2024
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  10. 10
    Shares of specialist groups prescribing 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019.

    Shares of specialist groups prescribing 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019. by Thomas Hanslmeier (19949694)

    Published 2024
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  11. 11
    Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.814 prescriptions; urologists n = 182.100 prescriptions).

    Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.8... by Thomas Hanslmeier (19949694)

    Published 2024
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  12. 12
    Comparison of 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescription.

    Comparison of 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescription. by Thomas Hanslmeier (19949694)

    Published 2024
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  13. 13
    UTI diagnoses by sex and physician specialty (2013–2019).

    UTI diagnoses by sex and physician specialty (2013–2019). by Thomas Hanslmeier (19949694)

    Published 2024
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  14. 14
    Flow diagram of patient selection for the study.

    Flow diagram of patient selection for the study. by Yusuke Fuchioka (22806178)

    Published 2025
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  15. 15
    Individual and mean EQ-5D VAS scores in the PP-group (0 = baseline, 1 = after the first day of treatment, 2 = after the second day of treatment, 3 = after the third day of treatment, 4 = after the fourth day of treatment, 5 = after all treatments, 35 = at the 30-day follow-up).

    Individual and mean EQ-5D VAS scores in the PP-group (0 = baseline, 1 = after the first day of treatment, 2 = after the second day of treatment, 3 = after the third day of treatmen... by Marcus Persson (20496333)

    Published 2025
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  16. 16
    These subfigures show a visualization of the context embeddings for the DSVAE model with LS=2=4,CS=2. The first subfigure from the left shows three patient clusters, the second subfigure both patients and controls, the third colors context embeddings based on the subject’s age, and the last subfigure colors the context embeddings based on the subject’s cognitive score, CMINDs.

    These subfigures show a visualization of the context embeddings for the DSVAE model with LS=2=4,CS=2. The first subfigure from the left shows three patient clusters, the second sub... by Eloy Geenjaar (21533195)

    Published 2025
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  17. 17
    Factors associated with AL score (multivariable regression analyses for the third follow-up).

    Factors associated with AL score (multivariable regression analyses for the third follow-up). by Eric Priedemann (21175492)

    Published 2025
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  18. 18
    Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  19. 19
    Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  20. 20
    Middle cerebral artery mean flow velocity at three time points.

    Middle cerebral artery mean flow velocity at three time points. by Marco Carbonara (11483575)

    Published 2024
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