Analysis of Risk Factors for Carbapenem Resistant Klebsiella pneumoniae Infection and Construction of Nomogram Model: A Large Case-Control and Cohort Study from Shanxi, China [Letter]

Slamet Wardoyo1 Department of Environmental Health, Poltekkes Kemenkes Surabaya, Surabaya, IndonesiaCorrespondence[email protected]

Slamet Slamet2 Department of Medical Laboratory Technology, Poltekkes Kemenkes Pontianak, Pontianak, Indonesia

Muhammad Ifham Hanif3 Badau Primary Health Care, Kapuas Hulu, Indonesia

Taufik Anwar4 Department of Environmental Health, Poltekkes Kemenkes Pontianak, Pontianak, Indonesia

References

Wang H, Tian F, Wang X, Zhao M, Gao R, Cui X. Analysis of risk factors for carbapenem resistant Klebsiellapneumoniaeinfection and construction of nomogram model: a large case-control and cohort study from Shanxi, ChinaInfect Drug Resist. 2023;16:7351–7363. doi:10.2147/IDR.S442909
PubMedGoogle Scholar
Eisend M, Kuss A. Generalizability of research results BT. In: Eisend M, Kuss A, editors. Research Methodology in Marketing: Theory Development, Empirical Approaches and Philosophy of Science Considerations. Cham: Springer International Publishing; 2019:195–210. doi:10.1007/978-3-030-10794-9_9
Google Scholar
Beets MW, Weaver RG, Ioannidis JPA, et al. Identification and evaluation of risk of generalizability biases in pilot versus efficacy/effectiveness trials: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2020;17(1):1–20. doi:10.1186/s12966-020-0918-y
PubMed Web of Science ®Google Scholar
Kappen TH, van Klei WA, van Wolfswinkel L, Kalkman CJ, Vergouwe Y, Moons KGM. Evaluating the impact of prediction models: lessons learned, challenges, and recommendations. Diagnostic Progn Res. 2018;2(1):11. doi:10.1186/s41512-018-0033-6
PubMedGoogle Scholar