Dr. Michael Schulman published in Clinical and Translational Gastroenterology (CTG)

Dr. Michael Schulman of Florida Center for Gastroenterology was recently published in 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐆𝐚𝐬𝐭𝐫𝐨𝐞𝐧𝐭𝐞𝐫𝐨𝐥𝐨𝐠𝐲 (CTG) on functional GI disorders.

Case study: 𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒏𝒈 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒆 𝒕𝒐 𝑵𝒆𝒖𝒓𝒐𝒎𝒐𝒅𝒖𝒍𝒂𝒕𝒐𝒓𝒔 𝒐𝒓 𝑷𝒓𝒐𝒌𝒊𝒏𝒆𝒕𝒊𝒄𝒔 𝒊𝒏 𝑷𝒂𝒕𝒊𝒆𝒏𝒕𝒔 𝑾𝒊𝒕𝒉 𝑺𝒖𝒔𝒑𝒆𝒄𝒕𝒆𝒅 𝑮𝒂𝒔𝒕𝒓𝒐𝒑𝒂𝒓𝒆𝒔𝒊𝒔 𝑼𝒔𝒊𝒏𝒈 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈: 𝑻𝒉𝒆 “𝑩𝑴𝑰, 𝑰𝒏𝒇𝒆𝒄𝒕𝒊𝒐𝒖𝒔 𝑷𝒓𝒐𝒅𝒓𝒐𝒎𝒆, 𝑫𝒆𝒍𝒂𝒚𝒆𝒅 𝑮𝑬𝑺, 𝒂𝒏𝒅 𝑵𝒐 𝑫𝒊𝒂𝒃𝒆𝒕𝒆𝒔” 𝑴𝒐𝒅𝒆𝒍

You can read the full article in the CTG Journal by clicking here.

AUC-ROC of the final model to predict a response to prokinetics or neuromodulators with the predictors delayed GCSI, diabetes, infectious prodrome, and BMI using ridge regression. The AUC-ROC were 0.72 for neuromodulators or prokinetics (blue line), 0.64 for neuromodulators without prokinetics (red line), and 0.83 for prokinetics without neuromodulators (green line). AUC-ROC, area under the receiver operator characteristic curve; BMI, body mass index; GCSI, Gastroparesis Cardinal Symptom Index.

Source: Predicting Response to Neuromodulators or Prokinetics in Patients With Suspected Gastroparesis Using Machine Learning: The “BMI, Infectious Prodrome, Delayed GES, and No Diabetes” Model

Clinical and Translational Gastroenterology15(9):e1, September 2024.