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Comment
. 2024 Oct 28;28(1):347.
doi: 10.1186/s13054-024-05109-5.

Lack of up-to-date studies and data conversion may lead to biased results

Guoying Wang #  1 , Fen Liu #  2 , Linqing Xu  3 , Xiaoming Zhou  4   5
Affiliations
Comment

Lack of up-to-date studies and data conversion may lead to biased results

Guoying Wang et al. Crit Care. .
No abstract available

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Forest plot for a pooled incidence nosocomial infection per 1000 ECMO-day based on Freeman-Tukey double arcsine transformation; b based on logit transformation
See this image and copyright information in PMC

Comment on

References

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    1. Nesseler N, Mansour A, Schmidt M, et al. ECMOSARS investigators; SFAR Research Network. Healthcare-associated infections in patients with severe COVID-19 supported with extracorporeal membrane oxygenation: a nationwide cohort study. Crit Care. 2024;28(1):54. - DOI - PMC - PubMed
    1. Chen Y, Chen D, Wang Y, et al. Using Freeman-Tukey double arcsine transformation in meta-analysis of single proportions. Aesthet Plast Surg. 2023;47(Suppl 1):83–4. - DOI - PubMed
    1. Lin L, Chu H. Meta-analysis of proportions using generalized linear mixed models. Epidemiology. 2020;31(5):713–7. - DOI - PMC - PubMed

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