Association of the platelet-to-albumin ratio with diabetic nephropathy lesions via a fine-tuning-free large language model framework - Takeaways - MDSpire

Association of the platelet-to-albumin ratio with diabetic nephropathy lesions via a fine-tuning-free large language model framework

  • By

  • Wenbo Xia

  • Dongyang Shen

  • Jian Chen

  • Ting Liang

  • Mei Wang

  • Yongcai Gao

  • Bo Li

  • Yali Zheng

  • May 20, 2026

  • 0 min

Share

  • 1

    The study investigates the correlation between the platelet-to-albumin ratio (PAR) and the severity of diabetic nephropathy (DN) using a large language model framework.

  • 2

    A retrospective analysis of 195 DN patients revealed a significant association between elevated PAR levels and increased pathological severity of DN.

  • 3

    The optimal cutoff for PAR was determined to be 7.155, with an area under the curve (AUC) of 0.716, indicating its potential as a diagnostic tool.

  • 4

    The fine-tuning-free fusion LLM framework demonstrated improved specificity compared to traditional algorithms, addressing class imbalance effectively.

  • 5

    This research highlights the potential of using PAR as a non-invasive biomarker for risk stratification in diabetic nephropathy patients.

Original Source(s)

Association of the platelet-to-albumin ratio with diabetic nephropathy lesions via a fine-tuning-free large language model framework

  • by Wenbo Xia, Dongyang Shen, Jian Chen, Ting Liang, Mei Wang, Yongcai Gao, Bo Li, Yali Zheng

  • May 20, 2026

Related Content

Impact of intracardiac echocardiography on radiofrequency catheter ablation for atrial fibrillation: a clinical study on procedural parameters and post-procedural recurrence

Gelsolin amyloidosis presenting with nephrotic syndrome: a case report and molecular insights

Psychological distress among dialysis patients during the COVID-19 Omicron pandemic: risk and protective factors across hemodialysis and peritoneal dialysis