Code:
* Example generated by -dataex-. For more info, type help dataex clear input str50 studyid float(fm_event_n fm_event_tot fm_nonevent_n cont_event_n cont_event_tot cont_nonevent_n days_therapy type_therapy probiotic_sp) "Bekar 2011" 36 46 10 18 36 18 2 1 . "Deguchi 2012 (antibiotic-resistant)" 10 26 16 7 25 18 1 1 1 "Deguchi 2012 (antibiotic susceptible)" 65 70 5 58 67 9 1 1 1 "Guillemard 2021" 57 68 11 60 68 8 2 2 2 "Kim 2008 (with nonulcer dyspepsia)" 87 113 26 88 121 33 1 1 2 "Kim 2008 (with peptic ulcer disease)" 46 55 9 41 58 17 1 1 2 "Mirzaee y Rezahosseini 2012 (without placebo)" 20 31 11 19 26 7 1 1 . "Mirzaee y Rezahosseini 2012 (with placebo)" 19 31 12 19 26 7 1 1 . "Sheu 2002" 73 80 7 63 80 17 1 1 2 "Srinarong 2014 (14-day therapy)" 25 25 0 24 25 1 2 2 2 "Srinarong 2014 (7-day therapy)" 25 25 0 23 25 2 1 2 2 "Yasar 2010" 25 38 13 20 38 18 2 1 1 "Yoon 2010" 104 151 47 124 186 62 2 1 2 end label values days_therapy days_therapy label def days_therapy 1 "Seven days", modify label def days_therapy 2 "Fourteen days", modify label values type_therapy type_therapy label def type_therapy 1 "Triple therapy", modify label def type_therapy 2 "Quadruple therapy", modify label values probiotic_sp probiotic_sp label def probiotic_sp 1 "Single", modify label def probiotic_sp 2 "Multiple", modify
I have tried the following syntax:
Code:
meta esize fm_event_n fm_nonevent_n cont_event_n cont_nonevent_n, esize(lnrratio) random(dlaird) studylabel(studyid) meta summarize, eform(Risk ratio) meta forestplot, subgroup(days_therapy type_therapy probiotic_sp) eform(Risk ratio) nullrefline(favorsleft("Favors control") favorsright("Favors Milk fermented")) columnopts(_K, title(Number of studies)) nooverall nogbhomtests noohomtest noohetstats nonotes
The problem is that all the subgroups have information from 13 studies, but one of them (probiotic_sp) only has information from 10 studies. When doing the meta-analysis, all the subgroups came out with only 10 studies. I appreciate any advice to solve this problem.
Thanks
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