Neidio i’r brif dudalen lywio Neidio i chwilio Neidio i’r prif gynnwys

To help aging populations, classify organismal senescence

  • Stuart R.G. Calimport*
  • , Barry L. Bentley
  • , Claire E. Stewart
  • , Graham Pawelec
  • , Angelo Scuteri
  • , Manlio Vinciguerra
  • , Cathy Slack
  • , Danica Chen
  • , Lorna W. Harries
  • , Gary Marchant
  • , G. Alexander Fleming
  • , Michael Conboy
  • , Adam Antebi
  • , Gary W. Small
  • , Jesus Gil
  • , Edward G. Lakatta
  • , Arlan Richardson
  • , Clifford Rosen
  • , Karoly Nikolich
  • , Tony Wyss-Coray
  • Lawrence Steinman, Thomas Montine, João Pedro de Magalhães, Judith Campisi, George Church
*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

57 Dyfyniadau (Scopus)

Crynodeb

Globally, citizens exist for sustained periods in states of aging-related disease and multimorbidity. Given the urgent and unmet clinical, health care, workforce, and economic needs of aging populations, we need interventions and programs that regenerate tissues and organs and prevent and reverse aging-related damage, disease, and frailty (1). In response to these challenges, the World Health Organization (WHO) has called for a comprehensive public-health response within an international legal framework based on human rights law (1). Yet for a clinical trial to be conducted, a disease to be diagnosed, intervention prescribed, and treatment administered; a corresponding disease classification code is needed, adopted nationally from the WHO International Classification of Diseases (ICD). Such classifications and staging are fundamental for health care governance among governments and intergovernmental bodies. We describe a systematic and comprehensive approach to the classification and staging of organismal senescence and aging-related diseases at the organ and tissue levels in order to guide policy and practice and enable appropriate interventions and clinical guidance, systems, resources, and infrastructure.
Iaith wreiddiolSaesneg
Tudalennau (o-i)576-578
Nifer y tudalennau3
CyfnodolynScience
Cyfrol366
Rhif cyhoeddi6465
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Tach 2019

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