A machine learning model for diabetic retinopathy risk stratification using routine blood and urine parameters: insights into kidney-eye crosstalk.

Front Endocrinol (Lausanne) · 2026 · PMC13318625 · PMID 42388876

Europe PMC DOI

hedged sentence

0.0500

closest p · 1.0× alpha

0.0500

boldest claim

The sentences

did not reach statistical significanceP>0.05actually significant

Although individual lipid parameters such as LDL-C and HDL-C did not reach statistical significance independently (P>0.05), the LHR—a key composite indicator in our model—reflected a complex lipid perturbation associated with DR.

also in 111,027 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.