com.atlassian.confluence.content.render.xhtml.migration.exceptions.UnknownMacroMigrationException: The macro 'datalayer.push(arguments);' is unknown.

1.8 References

  1. Gough, D., Thomas, J. & Oliver, S. Clarifying differences between reviews within evidence ecosystems. Syst Rev 8, 170 (2019). https://doi.org/10.1186/s13643-019-1089-2  

  2. Vandvik PO, Brandt L. Future of Evidence Ecosystem Series: Evidence ecosystems and learning health systems: why bother? J Clin Epidemiol. 2020 Jul;123:166-170. doi: 10.1016/j.jclinepi.2020.02.008. Epub 2020 Mar 4. PMID: 32145365. 

  3. Page MJ, Joanne E. McKenzie, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco A, Welch VA, Whiting P, Moher D, The PRISMA 2020 statement: An updated guideline for reporting systematic reviews, International Journal of Surgery, Volume 88, 2021, https://doi.org/10.1016/j.ijsu.2021.105906 

  4. Schünemann HJ, Neumann I, Hultcrantz M, Brignardello-Petersen R, Zeng L, Murad MH, Izcovich A, Morgano GP, Baldeh T, Santesso N, Cuello CG, Mbuagbaw L, Guyatt G, Wiercioch W, Piggott T, De Beer H, Vinceti M, Mathioudakis AG, Mayer MG, Mustafa R, Filippini T, Iorio A, Nieuwlaat R, Marcucci M, Coello PA, Bonovas S, Piovani D, Tomlinson G, Akl EA; GRADE Working Group. GRADE guidance 35: update on rating imprecision for assessing contextualized certainty of evidence and making decisions. J Clin Epidemiol. 2022 Oct;150:225-242. doi: 10.1016/j.jclinepi.2022.07.015. Epub 2022 Aug 5. PMID: 35934266. 

  5. Tugwell P, Welch VA, Karunananthan S, et al. When to replicate systematic reviews of interventions: consensus checklist. BMJ. 2020 Sep 15;370:m2864. doi: 10.1136/bmj.m2864. PMID: 32933948 

  6. Dewidar, O., Elmestekawy, N. & Welch, V. Improving equity, diversity, and inclusion in academia. Res Integr Peer Rev 7, 4 (2022). https://doi.org/10.1186/s41073-022-00123-z  

  7. Blaizot A, Veettil SK, Saidoung P, Moreno-Garcia CF, Wiratunga N, Aceves-Martins M, Lai NM, Chaiyakunapruk N. Using artificial intelligence methods for systematic review in health sciences: A systematic review. Res Synth Methods. 2022 May;13(3):353-362. doi: 10.1002/jrsm.1553. Epub 2022 Feb 28. PMID: 35174972. 

  8. Akl EA, Meerpohl JJ, Elliott J, Kahale LA, Schünemann HJ. Living systematic reviews: 4. Living guideline recommendations. J Clin Epidemiol. 2017/09/16 ed. 2017;91:47–53. 

  9. Pollock, A., Campbell, P., Struthers, C. et al. Stakeholder involvement in systematic reviews: a scoping review. Syst Rev 7, 208 (2018). https://doi.org/10.1186/s13643-018-0852-0  

  10. Jordan, Z; Lockwood, C; Munn, Z; Aromataris, E. The updated Joanna Briggs Institute Model of Evidence-Based Healthcare. International Journal of Evidence-Based Healthcare 17(1):p 58-71, March 2019. | DOI: 10.1097/XEB.0000000000000155 

  11. Aromataris E, Stern C, Lockwood C, Barker T, Klugar M, Jadotte Y, Evans C, Ross-White A, Lizarondo L, Stephenson M, McArthur A, Jordan Z, Munn Z, JBI series paper 2: tailored evidence synthesis approaches are required to answer diverse questions: a pragmatic evidence synthesis toolkit from JBI, Journal of Clinical Epidemiology, Volume 150, 2022, pp 196-202, https://doi.org/10.1016/j.jclinepi.2022.04.006 . 

  12. Page M J, McKenzie J E, Bossuyt P M, Boutron I, Hoffmann T C, Mulrow C D et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews BMJ 2021; 372 :n71 doi:10.1136/bmj.n71  

Â