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@ARTICLE{Manuilova:292555,
      author       = {I. Manuilova and J. Bossenz and A. B. Weise and D. Boehm
                      and C. Strantz and P. Unberath and N. Reimer and P.
                      Metzger$^*$ and T. Pauli and S. D. Werle and S. Schulze and
                      S. Hiemer and A. Ustjanzew and H. A. Kestler and H. Busch
                      and B. Brors$^*$ and J. Christoph},
      title        = {{I}dentifications of {S}imilarity {M}etrics for {P}atients
                      {W}ith {C}ancer: {P}rotocol for a {S}coping {R}eview.},
      journal      = {JMIR Research Protocols},
      volume       = {13},
      issn         = {1929-0748},
      address      = {Toronto},
      publisher    = {[Verlag nicht ermittelbar]},
      reportid     = {DKFZ-2024-01798},
      pages        = {e58705},
      year         = {2024},
      abstract     = {Understanding the similarities of patients with cancer is
                      essential to advancing personalized medicine, improving
                      patient outcomes, and developing more effective and
                      individualized treatments. It enables researchers to
                      discover important patterns, biomarkers, and treatment
                      strategies that can have a significant impact on cancer
                      research and oncology. In addition, the identification of
                      previously successfully treated patients supports
                      oncologists in making treatment decisions for a new patient
                      who is clinically or molecularly similar to the previous
                      patient.The planned review aims to systematically summarize,
                      map, and describe existing evidence to understand how
                      patient similarity is defined and used in cancer research
                      and clinical care.To systematically identify relevant
                      studies and to ensure reproducibility and transparency of
                      the review process, a comprehensive literature search will
                      be conducted in several bibliographic databases, including
                      Web of Science, PubMed, LIVIVIVO, and MEDLINE, covering the
                      period from 1998 to February 2024. After the initial
                      duplicate deletion phase, a study selection phase will be
                      applied using Rayyan, which consists of 3 distinct steps:
                      title and abstract screening, disagreement resolution, and
                      full-text screening. To ensure the integrity and quality of
                      the selection process, each of these steps is preceded by a
                      pilot testing phase. This methodological process will
                      culminate in the presentation of the final research results
                      in a structured form according to the PRISMA-ScR (Preferred
                      Reporting Items for Systematic Reviews and Meta-Analyses
                      extension for Scoping Reviews) flowchart. The protocol has
                      been registered in the Journal of Medical Internet
                      Research.This protocol outlines the methodologies used in
                      conducting the scoping review. A search of the specified
                      electronic databases and after removing duplicates resulted
                      in 1183 unique records. As of March 2024, the review process
                      has moved to the full-text evaluation phase. At this stage,
                      data extraction will be conducted using a pretested chart
                      template.The scoping review protocol, centered on these main
                      concepts, aims to systematically map the available evidence
                      on patient similarity among patients with cancer. By
                      defining the types of data sources, approaches, and methods
                      used in the field, and aligning these with the research
                      questions, the review will provide a foundation for future
                      research and clinical application in personalized cancer
                      care. This protocol will guide the literature search, data
                      extraction, and synthesis of findings to achieve the
                      review's objectives.DERR1-10.2196/58705.},
      subtyp        = {Review Article},
      keywords     = {Humans / Neoplasms: therapy / Research Design / Precision
                      Medicine: methods / Reproducibility of Results / cancer
                      research (Other) / cancer similarity metrics (Other) /
                      patient similarity (Other) / patient similarity applications
                      (Other) / precision medicine (Other) / scoping review
                      protocol (Other)},
      cin          = {M130 / B330 / HD01},
      ddc          = {610},
      cid          = {I:(DE-He78)M130-20160331 / I:(DE-He78)B330-20160331 /
                      I:(DE-He78)HD01-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39230952},
      doi          = {10.2196/58705},
      url          = {https://inrepo02.dkfz.de/record/292555},
}