The University of Manchester Research A short guide and a forest plot command (ipdforest) for one-stage meta-analysis Link to publication record in Manchester Research Explorer Citation for published version (APA): Kontopantelis, E., & Reeves, D. (2012). A short guide and a forest plot command (ipdforest) for one-stage meta- analysis. In host publication Published in: host publication Citing this paper Please note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscript or Proof version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version. General rights Copyright and moral rights for the publications made accessible in the Research Explorer are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Takedown policy If you believe that this document breaches copyright please refer to the University of Manchester’s Takedown Procedures [http://man.ac.uk/04Y6Bo] or contact [email protected] providing relevant details, so we can investigate your claim. Download date:11. Oct. 2021 Meta-analysis overview A practical guide ipdforest Summary A short guide and a forest plot command for one-stage meta-analysis in Stata the ipdforest command Evan Kontopantelis David Reeves Centre for Primary Care Institute of Population Health Faculty of Medicine University of Manchester RSS Annual Conference Telford, 5 Sep 2012 [Poster title] [Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor] Kontopantelis, Reeves ipdforest ABSTRACT METHODS RESULTS RESULTS TITLE: [Add title, if necessary.] [Add title, if necessary.] [Add text here.] [Add key point.] [Add key point.] [Graphic title] [Graphic title] [Graphic title] BACKGROUND: [Add description of key point.] [Add key point.] [Add text here.] [Add key point.] [Add key point.] OBJECTIVE: [Add description of key point.] [Add key point.] [Add key point.] [Add text here.] [Add key point.] METHODS: [Add description of key point.] [Add text here.] Meta-analysis overview RESULTS: [Replace, move, resize, or delete graphic, as necessary.] [Add text here.] [Replace, move, resize, or delete graphic, as necessary.] [Replace, move, resize, or delete graphic, as necessary.] CONCLUSIONS: A practical guide [Add title, if necessary.] [Add text here.] 4th Qtr Excepteur Sint [Add key point.] . [Sub-bullet] Lkl Controls 3rd Qtr (n=212) (n=27) ipdforest . [Sub-bullet] BACKGROUND Lorum Wt (kg) 18 (SD 10) 29 2nd Qtr [Add key point.] (SD 07) [Add title, if necessary.] . [Sub-bullet] Ipsum (wk) 31 (SD 5) 37 (SD 2) 1st Qtr Summary . [Sub-bullet] [Add title, if necessary.] Irure: B 79 (373%) 7 (259%) W 121 (571%) 18 (667%) 0% 20% 40% 60% 80% 100% [Add key point.] H 2 (09%) 0 [Replace, move, resize, or delete graphic, as necessary.] HB 0 1 (37%) . [Sub-bullet] O 1 (05%) 1 (37%) . [Sub-bullet] Unknown 9 (42%) 0 4th Qtr Proident 106 (50%) 17 (63%) [Add key point.] F 101 (476%) 10 (37%) Label One . [Sub-bullet] Lorem 5 (24%) 3rd Qtr Nostrud: N 172 (811%) 26 (963%) . [Sub-bullet] Y 22 (104%) 0 Outline 18 (85%) 1 (37%) Unknown 2nd Qtr Label Four Label Two 1st Qtr [Add title, if necessary.] CONCLUSIONS [Add key point.] 0% 20% 40% 60% 80% 100% . [Sub-bullet] [Add text as bulleted list or a paragraph.] Label Three . [Sub-bullet] 4th Qtr . [Add key point.] [Add key point.] . [Add key point.] . [Sub-bullet] 3rd Qtr . [Add key point.] . [Sub-bullet] . [Add key point.] [Add title, if necessary.] Health Sciences Primary Research Group Care 2nd Qtr OBJECTIVE . [Add key point.] [Add key point.] [Repeat objective from above.] . [Sub-bullet] 1st Qtr . [Sub-bullet] [Add key point.] 0% 20% 40% 60% 80% 100% . [Sub-bullet] . [Sub-bullet] For additional information please contact: 1 Meta-analysis overview [Name] [Department] [Institution or organization] [E-mail address] 2 A practical guide 3 ipdforest methods example 4 Summary Kontopantelis, Reeves ipdforest Meta-analysis overview A practical guide ipdforest Summary Timeline ‘Meta’ is a Greek preposition meaning ‘after’, so meta-analysis =) post-analysis Efforts to pool results from individual studies back as far as 1904 The first attempt that assessed a therapeutic intervention was published in 1955 In 1976 Glass first used the term to describe a "statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings" [Poster title] [Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor] Kontopantelis, Reeves ipdforest ABSTRACT METHODS RESULTS RESULTS TITLE: [Add title, if necessary.] [Add title, if necessary.] [Add text here.] [Add key point.] [Add key point.] [Graphic title] [Graphic title] [Graphic title] BACKGROUND: [Add description of key point.] [Add key point.] [Add text here.] [Add key point.] [Add key point.] OBJECTIVE: [Add description of key point.] [Add key point.] [Add key point.] [Add text here.] [Add key point.] METHODS: [Add description of key point.] [Add text here.] Meta-analysis overview RESULTS: [Replace, move, resize, or delete graphic, as necessary.] [Add text here.] [Replace, move, resize, or delete graphic, as necessary.] [Replace, move, resize, or delete graphic, as necessary.] CONCLUSIONS: A practical guide [Add title, if necessary.] [Add text here.] 4th Qtr Excepteur Sint [Add key point.] . [Sub-bullet] Lkl Controls 3rd Qtr (n=212) (n=27) ipdforest . [Sub-bullet] BACKGROUND Lorum Wt (kg) 18 (SD 10) 29 2nd Qtr [Add key point.] (SD 07) [Add title, if necessary.] . [Sub-bullet] Ipsum (wk) 31 (SD 5) 37 (SD 2) 1st Qtr Summary . [Sub-bullet] [Add title, if necessary.] Irure: B 79 (373%) 7 (259%) W 121 (571%) 18 (667%) 0% 20% 40% 60% 80% 100% [Add key point.] H 2 (09%) 0 [Replace, move, resize, or delete graphic, as necessary.] HB 0 1 (37%) . [Sub-bullet] O 1 (05%) 1 (37%) . [Sub-bullet] Unknown 9 (42%) 0 4th Qtr Proident 106 (50%) 17 (63%) [Add key point.] F 101 (476%) 10 (37%) Label One . [Sub-bullet] Lorem 5 (24%) 3rd Qtr Nostrud: N 172 (811%) 26 (963%) . [Sub-bullet] Y 22 (104%) 0 Meta-analysing18 (85%) 1 (37%) reported study results Unknown 2nd Qtr Label Four Label Two 1st Qtr [Add title, if necessary.] CONCLUSIONS [Add key point.] 0% 20% 40% 60% 80% 100% . [Sub-bullet] [Add text as bulleted list or a paragraph.] Label Three . [Sub-bullet] 4th Qtr . [Add key point.] [Add key point.] . [Add key point.] . [Sub-bullet] 3rd Qtr . [Add key point.] . [Sub-bullet] . [Add key point.] [Add title, if necessary.] Health Sciences Primary Research Group Care 2nd Qtr OBJECTIVE . [Add key point.] [Add key point.] [Repeat objective from above.] . [Sub-bullet] 1st Qtr . [Sub-bullet] [Add key point.] 0% 20% 40% 60% 80% 100% . [Sub-bullet] A two-stage. [Sub-bullet] process For additional information please contact: [Name] [Department] [Institution or organization] the relevant summary effect[E-mail address] statistics are extracted from published papers on the included studies these are then combined into an overall effect estimate using a suitable meta-analysis model However, problems often arise papers do not report all the statistical information required as input papers report a statistic other than the effect size which needs to be transformed with a loss of precision a study might be too different to be included (population clinically heterogeneous) Kontopantelis, Reeves ipdforest Meta-analysis overview A practical guide ipdforest Summary Individual Patient Data IPD These problems can be avoided when IPD from each study are available outcomes can be easily standardised clinical heterogeneity can be addressed with subgroup analyses and patient-level covariate controlling Can be analysed in a single- or two-stage process mixed-effects regression models can be used to combine information across studies in a single stage this is currently the best approach, with the two-stage method being at best equivalent in certain scenarios [Poster title] [Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor] Kontopantelis, Reeves ipdforest ABSTRACT METHODS RESULTS RESULTS TITLE: [Add title, if necessary.] [Add title, if necessary.] [Add text here.] [Add key point.] [Add key point.] [Graphic title] [Graphic title] [Graphic title] BACKGROUND: [Add description of key point.] [Add key point.] [Add text here.] [Add key point.] [Add key point.] OBJECTIVE: [Add description of key point.] [Add key point.] [Add key point.] [Add text here.] [Add key point.] METHODS: [Add description of key point.] [Add text here.] Meta-analysis overview RESULTS: [Replace, move, resize, or delete graphic, as necessary.] [Add text here.] [Replace, move, resize, or delete graphic, as necessary.] [Replace, move, resize, or delete graphic, as necessary.] CONCLUSIONS: A practical guide [Add title, if necessary.] [Add text here.] 4th Qtr Excepteur Sint [Add key point.] . [Sub-bullet] Lkl Controls 3rd Qtr (n=212) (n=27) ipdforest . [Sub-bullet] BACKGROUND Lorum Wt (kg) 18 (SD 10) 29 2nd Qtr [Add key point.] (SD 07) [Add title, if necessary.] . [Sub-bullet] Ipsum (wk) 31 (SD 5) 37 (SD 2) 1st Qtr Summary .