Distinguishing exocrine pancreas disease-associated diabetes from type 2 diabetes based on anthropometric and metabolic parameters

Patients with pancreatogenic diabetes differ from patients with type 2 diabetes in anthropometric and laboratory parameters. The type 3c diabetes index had the highest discriminating value, above any single parameter.

Authors

Institutions

Publication Details

Journal
World Journal of Diabetes
Published
2024-12-30
DOI
https://doi.org/10.4239/wjd.v16.i2.95102
Citations
1
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinguishing exocrine pancreas disease-associated diabetes from type 2 diabetes based on anthropometric and metabolic parameters

Mariusz Partyka, Mariusz Dąbrowski, Krzysztof Gutkowski, Anna Juza et al.
1 citations
World Journal of Diabetes
Diabetes Management and Research
0.36
article

Distinguishing exocrine pancreas disease-associated diabetes from type 2 diabetes based on anthropometric and metabolic parameters

Mariusz Partyka, Mariusz Dąbrowski, Krzysztof Gutkowski, Anna Juza, Lilianna Kołodziej-Spirodek
article en
1 citations

Abstract

Patients with pancreatogenic diabetes differ from patients with type 2 diabetes in anthropometric and laboratory parameters. The type 3c diabetes index had the highest discriminating value, above any single parameter.

World Journal of DiabetesVol. 16(2)
University of Rzeszów (PL)
Good health and well-being
Openalex Percentile: Top 30%
Diabetes Management and Research
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.