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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cer-270-bimp-disposition-comments.pdf
September 18, 2024 - One commenter was concerned about our components approach to analyze data for Key
Question 1. … The hardest problem in our review was to determine how to analyze studies that
used many of the same … One approach, taken
by the related Sharpe Cochrane review, would have been to analyze all behavioral … The other extreme would be to analyze each treatment combination on its own (e.g.,
first a section on
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effectivehealthcare-admin.ahrq.gov/health-topics/peritoneal-disorders
Cancer
Complications from peritoneal dialysis
Your doctor may use imaging tests or lab tests to analyze
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/medical-test-reviews-meta-analysis.ppt
June 01, 2012 - Deciding Which Metrics To Meta-analyze (1 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Why does it make sense to directly meta-analyze sensitivity and specificity? … Deciding Which Metrics To Meta-analyze (3 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Rarely is it meaningful to meta-analyze each value across studies. … Deciding Which Metrics To Meta-analyze (4 of 6)
It is less helpful to meta-analyze predictive values
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effectivehealthcare-admin.ahrq.gov/sites/default/files/medical-test-reviews-meta-analysis.ppt
June 01, 2012 - Deciding Which Metrics To Meta-analyze (1 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Why does it make sense to directly meta-analyze sensitivity and specificity? … Deciding Which Metrics To Meta-analyze (3 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Rarely is it meaningful to meta-analyze each value across studies. … Deciding Which Metrics To Meta-analyze (4 of 6)
It is less helpful to meta-analyze predictive values
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effectivehealthcare-admin.ahrq.gov/products/methods-guidance-applicability/slides
January 01, 2020 - This presentation focuses on assessing applicability, a task in the fourth of five steps, "Analyze and
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effectivehealthcare-admin.ahrq.gov/products/methods-guidance-grading-evidence/slides
January 01, 2020 - This presentation focuses on grading the strength of evidence, a task in the fourth of five steps, "Analyze
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/search-strategy-white-paper.pdf
February 01, 2025 - Below are the narrative sections of the review form:
• What to analyze: Entire record | Title Field … | Abstract Field | Subject Field
• Methods to analyze: Boolean/Truncation support? … These steps lend themselves to tools that
analyze structured bibliographic records using word frequency … evaluation (Table 5) and deduplication (Table 8) steps also include a
number of useful tools that analyze … COMMENTS: While this tool does analyze the results of a search and provide counts of words
and phrases
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/models-care-adult-survivors-childhood-cancer-evidence-summary.pdf
February 01, 2022 - researchers) and conducted
targeted and iterative searching to (1) identify models of survivorship care and analyze … identify available tools, training, and other resources for childhood cancer
survivorship care and analyze
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cannabis-2022-update-surv-rep-1-app-F1-4.xlsx
January 01, 2022 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cannabis-app-f1-f4-tables-surveillance-report-2_0_0.xlsx
February 16, 2022 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cer-250-cannabis-tables-e1-e4-2022-update_0.xlsx
January 01, 2022 - E-1. Can. Study Characteristics
Table E-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/Appendix-E-Evidence-Tables-E1-E4_0.xlsx
November 04, 2021 - E-1. Can. Study Characteristics
Table E-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/app-e-surv-report-2-nonopioid-pharmacol-chronic-pain.xlsx
September 20, 2022 - NPP
Table E-1. Neuropathic pain study characteristics
Author, Year
Country
Trial Type
Quality Rating Type(s) of Pain Demographics Other Population Characteristics N Randomized
N Analyzed Intervention Duration (Weeks) Funding Source
Hussain, 2021
Pakistan
Placebo-controlled
Fair NPP (DPN) Age, mean: 45
Female: 0%
R…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cannabis-2023-surv-rep-1-app-F.xlsx
January 01, 2023 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cannabis-2023-surv-rep-4-tables-E-1-E-4.xlsx
January 01, 2023 - E-1. Can. Study Characteristics
Table E-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cannabis-2022-surv-rep-4-tables-F1-4.xlsx
January 01, 2022 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cannabis-2022-surv-rep-3-tables-F1-4.xlsx
January 01, 2022 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
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effectivehealthcare-admin.ahrq.gov/products/patient-outcomes-symposium/overview
November 01, 2018 - Skip to main content
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/app-e-surv-report-1-nonopioid-pharmacol-chronic-pain.xlsx
September 20, 2022 - NPP
Table E-1. Neuropathic pain study characteristics
Author, Year
Country
Trial Type
Quality Rating Type(s) of Pain Demographics Other Population Characteristics N Randomized
N Analyzed Intervention Duration (Weeks) Funding Source
Hussain, 2021
Pakistan
Placebo-controlled
Fair NPP (DPN) Age, mean: 45
Female: 0%
R…
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effectivehealthcare-admin.ahrq.gov/sites/default/files/related_files/cer-250-cannabis-2024-surv-rep-update-tables-e1-4.xlsx
January 01, 2024 - E-1. Can. Study Characteristics
Table E-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…