rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Identifying predictors of response using an individual patient data meta-analysis
  name:
    name part: Stocks, Joanne
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Persson, Monica S. M.
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Case studies
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Osteoarthritis is a common painful condition affecting the joints. Currently, there is no cure for osteoarthritis, only the management of its symptoms. To personalize pain relief to an individual, we need to first identify predictors of treatment response. We undertook two individual patient data (IPD) meta-analyses conducted as part of the OA Trial Bank. One aim was to identify predictors of response to two topical treatments: topical non-steroidal anti-inflammatory drugs and capsaicin. The other aim was to identify placebo responders and predictors of response in osteoarthritis. IPD meta-analysis requires the original trial authors to share the data on all the individual patients in their trial. The raw data are then re-analyzed centrally while preserving the clustering of participants within their original trials. Obtaining the IPD from randomized controlled trials is the most important step in conducting an IPD meta-analysis. However, collecting IPD is a long process and a flexible approach to data collection is needed. The advantages of an IPD meta-analysis includes an increased study sample size, while allowing both individual patient-level and study-level predictors of response to be taken into account. Meanwhile, being restricted only to variables previously measured within the trials is a limitation. In this case study, we report on some of the challenges we experienced, and lessons learnt from undertaking two different IPD meta-analyses to identify predictors of response in patients with osteoarthritis.
  target audience: specialized
  note: Joanne Stocks, Monica S.M. Persson.
  note: Includes bibliographical references and index.
  subject:
    topic: Meta-analysis
    genre: Case studies
  subject:
    topic: Osteoarthritis
    topic: Treatment
    genre: Case studies
  subject:
    topic: Méta-analyse
    genre: Études de cas
  subject:
    topic: Arthrose
    topic: Traitement
    genre: Études de cas
  subject:
    topic: Meta-analysis
  subject:
    topic: Osteoarthritis
    topic: Treatment
  classification: R853.M48 S76 2020
  classification: 610.72
  related item:
    title info:
      title: SAGE Research Methods Cases : Medicine and Health
  identifier: 9781529741551
  identifier: 1529741556
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200616
    record change date: 20240923170510.8
    record identifier: in00005496683
    language of cataloging:
      language term: eng