Probability of prostate cancer in Chinese men - Evidencio
Probability of prostate cancer in Chinese men
Prostate health index (PHI) nomogram predicting the probability of prostate cancer in Chinese men with PSA ≤10 ng/mL and normal digital rectal examination (c-index: 0.79).
Auteurs: Zhu Y, Han CT, Zhang GM, Liu F, Ding Q, Xu JF, Vidal AC, Freedland SJ, Ng CF, Ye DW.
Versie: 1.19
  • Publiek
  • Oncologie
  • {{ modelType }}
  • Details
  • Valideer algoritme
  • Bewaar invoer
  • Laad invoer
Weergave
Eenheden

{{ section.title }}

{{ section.description }}

Bereken het resultaat

Vul meer parameters in om de berekening uit te voeren

Probability of prostate cancer:

{{ resultSubheader }}
{{ $t('download_result_availability') }}
{{ chart.title }}
Resultaat interval {{ additionalResult.min }} tot {{ additionalResult.max }}

Conditionele informatie

This nomogram provides an objective and quantifiable estimation of cancer risk and offers useful information for consultation. The decision to perform a prostate biopsy not only depends on prostate carcinoma risk, but also on multiple factors, including the patient’s life expectancy, co-morbidity, and preference.

Model performance:
On internal validation using a 200 bootstrap resampled dataset, the nomogram’s corrected AUC was 0.872. The calibration plot showed good correlation between predicted and actual probability. In a separate validation cohort consisting of 230 patients, the AUC of the nomogram was 0.786 (range, 0.678–0.894).

Clinical relevance: 
Zhu et al (2015) simulated clinical decision making by calculating the consequences of applying different criteria in the validation cohort. PSAD biopsy criteria resulted in unnecessary biopsies in 42.6% of cases and missed 28.6% of cancer cases. Using the PHI-nomogram, the authors were able to significantly reduce the number of unnecessary biopsies. For example, at the cutoff of 5%, unnecessary biopsies were reduced to 27% without missing any additional cancer cases.

Reference: Zhu Y, Han CT, Zhang GM, Liu F, Ding Q, Xu JF, Vidal AC, Freedland SJ, Ng CF, Ye DW. Development and external validation of a prostate health index-based nomogram for predicting prostate cancer. Sci Rep. 2015 16;5:15341.


{{ file.classification }}
PRO
Notitie
Notities zijn alleen zichtbaar in de resultaat download en worden niet opgeslagen door Evidencio

Dit algoritme wordt verstrekt voor educatieve, opleidings- en informatieve doeleinden. Het mag niet worden gebruikt ter ondersteuning van medische besluitvorming, of om medische of diagnostische diensten te verlenen. Lees onze volledige disclaimer.

Onderliggende algoritmes Onderdeel van
Opmerkingen
Opmerking
Vul een opmerking in.
Opmerkingen zijn voor iedereen zichtbaar

Algoritme feedback

Nog geen feedback 1 Opmerking {{ model.comments.length }} Opmerkingen
Op {{ comment.created_at }} {{ comment.user.username }} een niet langer geregistreerde auteur schreef:
{{ comment.content }}
logo

Log a.u.b. in om de Evidencio print-functies te gebruiken

Om de Evidencio print-functies te kunnen gebruiken dient u ingelogt te zijn.
Indien u nog geen Evidencio Community Account heeft kunt u eenvoudig een persoonlijk account aanmaken op:

https://www.evidencio.com/registration

Print rapport - Voorbeelden {{ new Date().toLocaleString() }}

Evidencio Community Account voordelen

With an Evidencio Community account you can:

  • Create and publish your own prediction algorithms.
  • Share your prediction algorithms with your colleagues, research group, organization or the world.
  • Review and provide feedback on algorithms that have been shared with you.
  • Validate your algorithms and validate algorithms from other users.
  • Find algorithms based on Title, Keyword, Author, Institute, or MeSH classification.
  • Use and save prediction algorithms and their data.
  • Use patient specific protocols and guidelines based on sequential algorithms and decision trees.
  • Stay up-to-date with new algorithms in your field as they are published.
  • Create your own lists of favorite algorithms and topics.

A personal Evidencio account is free, with no strings attached!
Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction algorithms.

Disclaimer: Predictie algoritmes dienen enkel ter ondersteuning en naslag geraadpleegd te worden en zijn geen vervanging voor medische besluitvorming door professionals.
Algemene voorwaarden | Privacy Policy | Disclaimer | Contact | Cookies weigeren |
Evidencio v3.38 © 2015 - 2025 Evidencio. Alle rechten voorbehouden