Login / Signup

Stephanie Van AsbroeckSebastian KöhlerMartin P J van BoxtelDarren M LipnickiJohn D CrawfordErico Castro-CostaMaria Fernanda Lima-CostaSergio Luis BlayXiao ShifuTao WangLing YueRichard B LiptonMindy J KatzCarol A DerbyMaëlenn GuerchetPierre-Marie PreuxPascal MbelessoJoanna NortonKaren RitchieIngmar SkoogJenna NajarTherese Rydberg SternerNikolaos ScarmeasMary YannakouliaThemis DardiotisElena RolandiAnnalisa DavinMichele RossiOye GurejeAkin OjagbemiToyin BelloKi Woong KimJi Won HanDae Jong OhStella TrompetJacobijn GusseklooSteffi G Riedel-HellerSusanne RöhrAlexander PabstSuzana ShaharNurul Fatin Malek RivanDevinder Kaur Ajit SinghErin JacobsenMary GanguliTiffany HughesMary HaanAllison E AielloDing DingQianhua ZhaoZhenxu XiaoKenji NarazakiTao ChenSanmei ChenTze Pin NgXinyi GweeQi GaoHenry BrodatyJulian TrollorNicole KochanAntonio LoboJavier SantabárbaraPatricia Gracia-GarciaPerminder S SachdevKay Deckersnull null
Published in: Alzheimer's & dementia : the journal of the Alzheimer's Association (2024)
A two-step individual participant data meta-analysis was conducted. This was done at a global scale using data from 21 ethno-regionally diverse cohorts. The association between a modifiable dementia risk score and dementia was examined. The association was modified by geographical region and age at baseline. Yet, modifiable dementia risk and protective factors appear relevant in all investigated groups and regions.
Keyphrases
  • mild cognitive impairment
  • cognitive impairment
  • systematic review
  • electronic health record
  • big data
  • meta analyses
  • data analysis
  • machine learning
  • high resolution