Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

An electronic application for rapidly calculating Charlson comorbidity score.

William H Hall1, Ramanathan Ramachandran, Samir Narayan

  • 1University of California, Davis, Department of Radiation Oncology, UC Davis Cancer Center, 4501 X Street, G126, Sacramento, CA 95817, USA. william.hall@ucdmc.ucdavis.edu <william.hall@ucdmc.ucdavis.edu>

BMC Cancer
|December 22, 2004
PubMed
Summary

The Charlson Comorbidity Index (CCI) helps identify elderly cancer patients who can tolerate aggressive treatments. A new Microsoft Excel Macro simplifies CCI score calculation, aiding clinical research and treatment decisions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy.

Journal of the Egyptian National Cancer Institute·2026
Same author

<sup>18</sup>F-Fluciclovine or <sup>68</sup>Ga-PSMA-11 PET/CT-guided Salvage Radiotherapy Changes in Postprostatectomy Biochemical Recurrence: Secondary Analysis of the EMPIRE-2 Trial.

Radiology·2026
Same author

A digital twin framework for adaptive treatment planning in radiotherapy.

Physics in medicine and biology·2026
Same author

Radiobiotherapy in Osteosarcoma: A State-Based Educational Framework for Strategy Selection and Trial Design.

Current oncology (Toronto, Ont.)·2026
Same author

Comparative Distribution of High-Risk Human Papillomavirus (HPV) Genotypes in India vs World Health Organization Regions and Countries: Implications for HPV Vaccination.

Ochsner journal·2026
Same author

Efficient vision mamba for MRI super-resolution via hybrid selective scanning.

Medical physics·2026

Area of Science:

  • Oncology
  • Geriatric Medicine
  • Biostatistics

Background:

  • Elderly cancer patients are underrepresented in clinical trials due to concerns about comorbid conditions and treatment tolerance.
  • Comorbidity scales can identify elderly patients likely to benefit from aggressive cancer therapy.
  • Widespread integration of comorbidity scales into clinical practice and research remains limited.

Purpose of the Study:

  • To review the validity of the Charlson Comorbidity Index (CCI) in oncology.
  • To introduce a Microsoft Excel Macro for rapid and accurate CCI score calculation.
  • To discuss the interaction between comorbidity and malignancy in cancer patients.

Main Methods:

  • Review of existing literature on the CCI's validity in oncology.

Related Experiment Videos

  • Development and validation of a Microsoft Excel Macro using Visual Basic for CCI score computation.
  • Analysis of the CCI's utility across various cancer types.
  • Main Results:

    • The CCI, based on mortality data, is the most utilized comorbidity index in oncology.
    • The MS Excel CCI Macro enables quick, accurate scoring, with or without age adjustment.
    • The Macro simplifies score calculation, removing a barrier to clinical research integration and electronic medical record systems.

    Conclusions:

    • Understanding the impact of age and comorbidity on life expectancy is crucial given the aging population and rising cancer incidence.
    • The MS Excel CCI Macro facilitates greater use of the CCI in research.
    • Ultimately, this aims to improve treatment determination for elderly cancer patients.