Additionally, many studies lack transparency on reporting other key prediction model information such as model performance beyond discrimination (e.g. calibration). R𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐠𝐮𝐢𝐝𝐞𝐥𝐢𝐧𝐞𝐬 𝐨𝐧 𝐄𝐪𝐮𝐚𝐭𝐨𝐫 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐚𝐫𝐞 𝐯𝐞𝐫𝐲 𝐡𝐞𝐥𝐩𝐟𝐮𝐥 𝐢𝐧 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 proper reporting.
www.equator-network.org/reporting-gu...

Yup. CLSI has doing discrepancy testing and conservatively reporting resistant if unclear clsi.org/media/2597/c...

This translated to a 99% 𝐍𝐏𝐕 𝐟𝐨𝐫 𝐆𝐍𝐁 𝐀𝐌𝐑 𝐭𝐚𝐫𝐠𝐞𝐭𝐬. However, notable challenges in performance were observed in Pseudomonas aeruginosa.

"...(guidelines) recommendation for Pseudomonas coverage based on the climate region" always left me 🤷‍♂️ Kudos to authors on addressing a practical question