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Related Concept Videos

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Thyroid carcinoma in elderly people: Characterization using big data tools.

Juan J Díez1, Luis Cabrera1, Pedro Iglesias1

  • 1Servicio de Endocrinología y Nutrición, Hospital Universitario Puerta de Hierro Majadahonda, Instituto de Investigación Sanitaria Puerta de Hierro Segovia de Arana, Majadahonda, Madrid, Spain; Departamento de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.

Endocrinologia, Diabetes Y Nutricion
|March 31, 2023
PubMed
Summary
This summary is machine-generated.

Elderly thyroid cancer patients have more comorbidities but use fewer healthcare resources than younger or advanced-age patients. Age significantly impacts thyroid cancer clinical presentation and resource utilization.

Keywords:
AgingAncianoBig dataComorbidityComorbilidadCáncer de tiroidesElderlyEnvejecimientoHealth resourcesRecursos sanitariosThyroid cancer

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Area of Science:

  • Oncology
  • Geriatrics
  • Health Services Research

Background:

  • Thyroid cancer incidence and characteristics vary across age groups.
  • Understanding age-related differences in comorbidities and healthcare resource use is crucial for optimizing patient care.

Purpose of the Study:

  • To investigate the clinical-histological data, comorbidities, and healthcare resource utilization in elderly patients with thyroid cancer.
  • To compare these factors between different age groups.

Main Methods:

  • Observational, retrospective study using electronic medical record (EMR) data.
  • Artificial intelligence (AI) techniques for data extraction and Savana Manager 3.0 software for analysis.
  • Age stratification: younger (0-59 years), older (≥60 years), advanced age (60-74 years), and elderly (≥75 years).

Main Results:

  • Thyroid cancer identified in 0.35% of 509,517 patients.
  • Older patients showed less papillary carcinoma and more follicular/other types compared to younger patients.
  • Elderly patients exhibited greater comorbidity but a trend towards lower healthcare resource consumption than those of advanced age.

Conclusions:

  • Clinical characteristics, comorbidities, and healthcare resource consumption in thyroid cancer patients are strongly age-dependent.
  • Elderly thyroid cancer patients present a significant comorbidity burden without a corresponding increase in healthcare resource use.