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. 2015 Jun 5;2015:0318.

Table.

GRADE Evaluation of interventions for Migraine headache in children.

Important outcomes Functional impairment, Migraine recurrence, Symptom relief
Studies (Participants) Outcome Comparison Type of evidence Quality Consistency Directness Effect size GRADE Comment
What are the effects of treatments for acute attacks of migraine headache in children?
5 (967) Symptom relief Sumatriptan versus placebo 4 –1 0 0 0 Moderate Quality point deducted for poor methodology in some RCTs (failure to report pre-crossover results; high withdrawal rates)
2 (at least 1060) Symptom relief Rizatriptan versus placebo 4 –1 –1 –1 0 Very low Quality point deducted for pharmaceutical-sponsored study; consistency point deducted for inconsistent results; directness point deducted for generalisability (children received initial placebo treatment)
2 (879) Symptom relief Zolmitriptan versus placebo 4 –1 –1 0 0 Low Quality point deducted for incomplete reporting of results; consistency point deducted for conflicting results
1 (274) Symptom relief Eletriptan versus placebo 4 –1 0 0 0 Moderate Quality point deducted for incomplete reporting of results
1 (866) Symptom relief Almotriptan versus placebo 4 –2 0 –1 0 Very low Quality points deducted for incomplete reporting of results and no intention-to-treat analysis; directness point deducted for unclear generalisability as results are exploratory (reported although criteria for analysis not achieved)
1 (866) Migraine recurrence Almotriptan versus placebo 4 –2 0 –1 0 Very low Quality points deducted for incomplete reporting of results and no intention-to-treat analysis; directness point deducted for unclear generalisability as results are exploratory (reported although criteria for analysis not achieved)
3 (271) Symptom relief Ibuprofen versus placebo 4 –2 0 0 0 Low Quality points deducted for sparse data and inclusion of flawed RCTs in meta-analysis
What are the effects of pharmacological prophylaxis for migraine headache in children?
3 (171) Symptom relief Propranolol versus placebo 4 –2 –1 –1 0 Very low Quality points deducted for sparse data and reporting of post-crossover results; consistency point deducted for heterogeneity among studies; directness point deducted for inclusion of co-intervention
2 (178) Symptom relief Propranolol versus topiramate 4 –2 0 –2 0 Very low Quality points deducted for sparse data, and unclear allocation concealment and randomisation in one RCT; directness points deducted for single-site study (Iran), and use of additional interventions (painkillers) in one RCT
1 (100) Functional impairment Propranolol versus topiramate 4 –1 0 –2 0 Very low Quality point deducted for sparse data; directness points deducted for single-site study (Iran), and use of additional interventions (painkillers) in one RCT
3 (at least 42) Symptom relief Flunarizine versus placebo 4 –3 0 –2 0 Very low Quality points deducted for sparse data, crossover design RCT, and unclear randomisation, blinding, and allocation concealment; directness points deducted for inclusion of population outside our group of interest, and use of additional interventions
1 (32) Symptom relief Flunarizine versus propranolol 4 –2 0 –2 0 Very low Quality points deducted for sparse data, and unclear randomisation and blinding; directness points deducted for inclusion of population outside our group of interest, and use of additional interventions
3 (at least 312) Symptom relief Topiramate versus placebo 4 –3 0 0 0 Very low Quality points deducted for incomplete reporting of results, double reporting of placebo group in meta-analysis, and industry-sponsored studies

We initially allocate 4 points to evidence from RCTs, and 2 points to evidence from observational studies. To attain the final GRADE score for a given comparison, points are deducted or added from this initial score based on preset criteria relating to the categories of quality, directness, consistency, and effect size. Quality: based on issues affecting methodological rigour (e.g., incomplete reporting of results, quasi-randomisation, sparse data [<200 people in the analysis]). Consistency: based on similarity of results across studies. Directness: based on generalisability of population or outcomes. Effect size: based on magnitude of effect as measured by statistics such as relative risk, odds ratio, or hazard ratio.