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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
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Culture of Bladder Cancer Organoids as Precision Medicine Tools
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Precision medicine in clinical practice.

Deepak B Khatry1

  • 1Statistical Sciences, Translational Sciences, MedImmune; One Medimmune Way, Gaithersburg, MD 20878, USA.

Personalized Medicine
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PubMed
Summary
This summary is machine-generated.

Clinical trial reports often omit data on patient response rates exceeding minimum clinically important differences. Presenting this data is crucial for personalized medicine and informed clinical treatment decisions.

Keywords:
binary decisionsbiomarkerscompanion diagnosticscomparative effectivenessdrug developmenteosinophilic asthmaminimum clinically important differencepersonalized treatmentprecision medicinerisk difference

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Area of Science:

  • Clinical trial reporting standards
  • Evidence-based medicine
  • Precision medicine

Background:

  • Prospective randomized controlled trials (RCTs) are essential for evaluating new therapies.
  • Current reporting often lacks data on the proportion of patients achieving minimum clinically important differences (MCID) in endpoints.
  • This omission hinders the application of precision medicine in clinical practice.

Discussion:

  • Patient-centric decisions are binary, requiring individual assessment rather than reliance on group averages.
  • Clinicians face daily decisions on prescribing unique therapies to unique patients.
  • The lack of MCID data in trial reports limits the ability to make truly personalized treatment choices.

Key Insights:

  • Routine reporting of dichotomized clinical endpoint data at MCID thresholds is necessary.
  • This data facilitates understanding of individual patient responses to therapies.
  • Improved reporting enhances the precision of medical treatments.

Outlook:

  • Future clinical trial reports should consistently include summary statistics on MCID achievement.
  • This will empower clinicians with better data for personalized prescribing.
  • Advancing precision medicine relies on transparent and comprehensive efficacy reporting.