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A modeling approach to derive baseline risk estimates for GRADE recommendations: Concepts, development, and results of its application to the American Society of Hematology 2019 guidelines on prevention of venous thromboembolism in surgical hospitalized patients.
Morgano, Gian Paolo; Wiercioch, Wojtek; Anderson, David R; Brozek, Jan L; Santesso, Nancy; Xie, Feng; Cuker, Adam; Nieuwlaat, Robby; Akl, Elie A; Darzi, Andrea J; Yepes-Nuñez, Juan José; Exteandia-Ikobaltzeta, Itziar; Rahman, Maryam; Rajasekhar, Anita; Rogers, Frederick; Tikkinen, Kari A O; Yates, Adolph J; Dahm, Philipp; Schünemann, Holger J.
Afiliação
  • Morgano GP; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Wiercioch W; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Anderson DR; Department of Medicine, Dalhousie University, Canada.
  • Brozek JL; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Santesso N; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Xie F; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Cuker A; Department of Medicine and Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, USA.
  • Nieuwlaat R; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Akl EA; Department of Internal Medicine, American University of Beirut, Lebanon.
  • Darzi AJ; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Yepes-Nuñez JJ; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada; School of Medicine, Universidad de los Andes, Colombia.
  • Exteandia-Ikobaltzeta I; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada.
  • Rahman M; Lillian S. Wells Department of Neurosurgery, University of Florida, USA.
  • Rajasekhar A; Division of Hematology and Oncology, Department of Medicine, University of Florida, USA.
  • Rogers F; Trauma and Acute Care Surgery, Penn Medicine Lancaster General Health, USA.
  • Tikkinen KAO; Department of Urology, University of Helsinki and Helsinki University Hospital, Finland,; Department of Surgery, South Karelian Central Hospital, Lappeenranta, Finland.
  • Yates AJ; Department of Orthopedic Surgery, University of Pittsburgh Medical Center, USA.
  • Dahm P; Urology Section, Minneapolis VA Health Care System, USA; Department of Urology, University of Minnesota, USA.
  • Schünemann HJ; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada; Institute for Evidence in Medicine, Medical Center & Faculty of Medicine, University of Freiburg, Freiburg, Germany. Electronic address: schuneh@mcmaster.ca.
J Clin Epidemiol ; 140: 69-78, 2021 12.
Article em En | MEDLINE | ID: mdl-34284102
OBJECTIVE: The goal of this study was to develop an approach that can be used where baseline risk estimates that are directly applicable to prioritized patient-important outcomes are not available from published studies. STUDY DESIGN: The McMaster University GRADE Centre and the ASH guideline panel for the prevention of VTE in surgical patients developed a modeling approach based on explicit assumptions about the distribution of symptoms, anatomical location, and severity of VTE events. RESULTS: We applied the approach to derive modeled estimates of baseline risk. These estimates were used to calculated absolute measures of anticipated effects that informed the discussion of the evidence and the formulation of 30 guideline recommendations. CONCLUSION: Our approach can assist guideline developers facing a lack of information about baseline risk estimates that directly apply to outcomes of interest. The use of modeled estimates increases transparency in the process and makes the baseline risk used by guideline experts explicit during their decision-making.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Modelos Estatísticos / Tromboembolia Venosa Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Epidemiol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Modelos Estatísticos / Tromboembolia Venosa Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Epidemiol Ano de publicação: 2021 Tipo de documento: Article