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An approach to quantifying the potential importance of residual confounding in systematic reviews of observational studies: A GRADE concept paper
5 references·2 citing·22 second hop
An approach to quantifying the potential importance of residual confounding in systematic reviews of observational studies: A GRADE concept paper (2021)An approach to quantifying the potential …Identifying the PECO: A framework for formulating good questions to explore the association of environmental and other exposures with health outcomes (2018)Identifying the PECO: A frame…GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence (2018)GRADE guidelines: 18. How ROB…The GRADE Working Group clarifies the construct of certainty of evidence (2017)The GRADE Working Group clari…GRADE guidelines: 9. Rating up the quality of evidence (2011)GRADE guidelines: 9. Rating u…Sick individuals and sick populations (2001)Sick individuals and sick pop…GRADE GUIDANCE 38: Updated guidance for rating up certainty of evidence due to a dose-response gradient (2023)GRADE GUIDANCE 38: Updated gu…How to report E-values for meta-analyses: Recommended improvements and additions to the new GRADE approach (2021)How to report E-values for me…GRADE guidelines 6. Rating the quality of evidence—imprecision (2011)GRADE guidelines: 3. Rating the quality of evidence (2011)GRADE Guidelines 28: Use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks (2020)GRADE Guidelines 30: the GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making (2020)A declaração PRISMA 2020: diretriz atualizada para relatar revisões sistemáticas (2022)Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography (2007)A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis (2014)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)GRADE guidelines: 20. Assessing the certainty of evidence in the importance of outcomes or values and preferences—inconsistency, imprecision, and other domains (2018)Completing ‘Summary of findings’ tables and grading the certainty of the evidence (2019)A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E) (2024)Evaluating non-randomised intervention studies (2003)Psychological therapies for people with borderline personality disorder (2012)New evidence pyramid (2016)Finding Common Ground in Meta-Analysis “Wars” on Violent Video Games (2019)Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects (2020)Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology. (1992)Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity (2014)Social Determinants of Risk and Outcomes for Cardiovascular Disease (2015)COSMOS-E: Guidance on conducting systematic reviews and meta-analyses of observational studies of etiology (2019)Impact of COVID-19 on people with physical disabilities: A rapid review (2020)Impact of the COVID-19 Pandemic on Older Adults: Rapid Review (2021)
this work references cited by second hop

References

  • 2001Sick individuals and sick populations3,735 cited
  • 2018Identifying the PECO: A framework for formulating good questions to explore the association of environmental and other exposures with health outcomes1,337 cited
  • 2011GRADE guidelines: 9. Rating up the quality of evidence1,335 cited
  • 2018GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence907 cited
  • 2017The GRADE Working Group clarifies the construct of certainty of evidence847 cited

Cited by

  • 2023GRADE GUIDANCE 38: Updated guidance for rating up certainty of evidence due to a dose-response gradient32 cited
  • 2021How to report E-values for meta-analyses: Recommended improvements and additions to the new GRADE approach10 cited

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