Development of a Non-Invasive Prediction Model for MASLD Using Routine Clinical and Biochemical Markers: A Retrospective Study.

Dong L, Zheng J

DOI: 10.2147/dmso.s617442
Published: 2026
Container: Diabetes, metabolic syndrome and obesity : targets and therapy
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2147/dmso.s617442,
  title = {Development of a Non-Invasive Prediction Model for MASLD Using Routine Clinical and Biochemical Markers: A Retrospective Study.},
  author = {Dong L and Zheng J},
  year = {2026},
  journal = {Diabetes, metabolic syndrome and obesity : targets and therapy},
  doi = {10.2147/dmso.s617442},
  url = {https://doi.org/10.2147/dmso.s617442}
}

RIS

TY  - JOUR
TI  - Development of a Non-Invasive Prediction Model for MASLD Using Routine Clinical and Biochemical Markers: A Retrospective Study.
AU  - Dong L
AU  - Zheng J
PY  - 2026
JO  - Diabetes, metabolic syndrome and obesity : targets and therapy
DO  - 10.2147/dmso.s617442
UR  - https://doi.org/10.2147/dmso.s617442
ER  -

APA

L, D., & J, Z. (2026). Development of a Non-Invasive Prediction Model for MASLD Using Routine Clinical and Biochemical Markers: A Retrospective Study.. Diabetes, metabolic syndrome and obesity : targets and therapy. https://doi.org/10.2147/dmso.s617442

Source records

pubmed · retrieved 2026-11-10T12:44:03.843Z
europe-pmc · retrieved 2026-11-10T12:44:03.846Z
europe-pmc · retrieved 2026-11-10T12:44:03.846Z