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@ARTICLE{Underwood:276152,
      author       = {Underwood, Benjamin R and Lourida, Ilianna and Gong,
                      Jessica and Tamburin, Stefano and Tang, Eugene Yee Hing and
                      Sidhom, Emad and Tai, Xin You and Betts, Matthew J and
                      Ranson, Janice M and Zachariou, Margarita and Olaleye,
                      Olajide E and Das, Saswati and Oxtoby, Neil P and Chen,
                      Shanquan and Llewellyn, David J},
      collaboration = {Phenotyping, Deep Dementia},
      title        = {{D}ata-driven discovery of associations between prescribed
                      drugs and dementia risk: {A} systematic review.},
      journal      = {Alzheimer's $\&$ dementia / Translational research $\&$
                      clinical interventions},
      volume       = {11},
      number       = {1},
      issn         = {2352-8737},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {DZNE-2025-00224},
      pages        = {e70037},
      year         = {2025},
      abstract     = {Recent clinical trials on slowing dementia progression have
                      led to renewed focus on finding safer, more effective
                      treatments. One approach to identify plausible candidates is
                      to assess whether existing medications for other conditions
                      may affect dementia risk. We conducted a systematic review
                      to identify studies adopting a data-driven approach to
                      investigate the association between a wide range of
                      prescribed medications and dementia risk. We included 14
                      studies using administrative or medical records data for
                      more than 130 million individuals and 1 million dementia
                      cases. Despite inconsistencies in identifying specific drugs
                      that may modify Alzheimer's or dementia risk, some themes
                      emerged for drug classes with biological plausibility.
                      Antimicrobials, vaccinations, and anti-inflammatories were
                      associated with reduced risk, while diabetes drugs, vitamins
                      and supplements, and antipsychotics were associated with
                      increased risk. We found conflicting evidence for
                      antihypertensives and antidepressants. Drug repurposing for
                      use in dementia is an urgent priority. Our findings offer a
                      basis for prioritizing candidates and exploring underlying
                      mechanisms.·We present a systematic review of studies
                      reporting association between drugs prescribed for other
                      conditions and risk of dementia including 139 million people
                      and 1 million cases of dementia.·Our work supports some
                      previously reported associations, for example, showing
                      decreased risk of dementia with drugs to treat inflammatory
                      disease and increased risk with antipsychotic
                      treatment.·Antimicrobial treatment was perhaps more
                      surprisingly associated with decreased risk, supportive of
                      recent increased interest in this potential therapeutic
                      avenue.·Our work should help prioritize drugs for entry
                      into adaptive platform trials in Alzheimer's disease and
                      will serve as a useful resource for those investigating
                      drugs or classes of drugs and risk of dementia.},
      subtyp        = {Review Article},
      keywords     = {Alzheimer's disease (Other) / dementia (Other) / drug
                      repurposing (Other) / electronic health records (Other) /
                      machine learning (Other) / medications (Other) /
                      pharmacoepidemiology (Other)},
      cin          = {AG Düzel},
      ddc          = {610},
      cid          = {I:(DE-2719)5000006},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39839078},
      pmc          = {pmc:PMC11747987},
      doi          = {10.1002/trc2.70037},
      url          = {https://pub.dzne.de/record/276152},
}