Stratification according to disease severity can better reveal the relative effectiveness of treatments for acne vulgaris

Affiliations

Comment

Theodoros Evrenoglou. Br J Dermatol. 2022 Nov.

. 2022 Nov;187(5):637-638.

doi: 10.1111/bjd.21849. Epub 2022 Sep 5.

¹ Université Paris Cité, Research Center of Epidemiology and Statistics (CRESS-U1153), INSERM, Paris, France.

No abstract available

Comment on

A systematic review and network meta-analysis of topical pharmacological, oral pharmacological, physical and combined treatments for acne vulgaris.
Mavranezouli I, Daly CH, Welton NJ, Deshpande S, Berg L, Bromham N, Arnold S, Phillippo DM, Wilcock J, Xu J, Ravenscroft JC, Wood D, Rafiq M, Fou L, Dworzynski K, Healy E. Mavranezouli I, et al. Br J Dermatol. 2022 Nov;187(5):639-649. doi: 10.1111/bjd.21739. Epub 2022 Aug 22. Br J Dermatol. 2022. PMID: 35789996 Free PMC article.

1. Vos T, Flaxman AD, Naghavi M et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380:2163-96.
1. Tan JKL, Bhate K. A global perspective on the epidemiology of acne. Br J Dermatol 2015; 172 (Suppl. 1):3-12.
1. Higgins JP, Welton NJ. Network meta-analysis: a norm for comparative effectiveness? Lancet 2015; 386:628-30.
1. Chaimani A, Caldwell DM, Li T et al. Undertaking network meta-analyses. In: Cochrane Handbook for Systematic Reviews of Interventions (Higgins JPT, Thomas J, eds). Chichester: John Wiley & Sons, Ltd, 2019; 285-320.
1. Rücker G, Schwarzer G. Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Med Res Methodol 2015; 15:58.