Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort

The FNN model exhibited robust performance in predicting the progression of RA from seronegative UA and maintained substantial sensitivity in an independent validation cohort. This model using only clinical and laboratory parameters has potential for predicting RA progression in patients with seronegative UA.

Authors

Institutions

Publication Details

Journal
Arthritis Research & Therapy
Published
2025-03-26
DOI
https://doi.org/10.1186/s13075-025-03541-8
Citations
6
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
10.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort

Yuki Etani, Hideki Amuro, Yasutaka Okita, Hirohiko Kohjitani et al.
6 citations
Arthritis Research & Therapy
Rheumatoid Arthritis Research and Therapies
10.01
article

Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort

Yuki Etani, Hideki Amuro, Yasutaka Okita, Hirohiko Kohjitani, Motomu Hashimoto, Kosaku Murakami, Koichi Murata, T. Okano, Tadashi Okano, Masao Tanaka, Ryota Hara, Wataru Yamamoto, Yo Ueda, Takayuki Fujii, Naofumi Yoshida, Ayaka Yoshikawa, Koji Nagai, Shuichi Matsuda, Akira Onishi, Akio Morinobu
article en
6 citations

Abstract

The FNN model exhibited robust performance in predicting the progression of RA from seronegative UA and maintained substantial sensitivity in an independent validation cohort. This model using only clinical and laboratory parameters has potential for predicting RA progression in patients with seronegative UA.

Arthritis Research & TherapyVol. 27(1)
Kansai Medical University (JP), Kyoto University (JP), Kurashiki Central Hospital (JP), Kobe University Hospital (JP), Kyoto University Hospital (JP), Osaka Metropolitan University (JP), Nara Medical University (JP), Kobe University (JP), Tokyo Metropolitan University (JP), Osaka University of Pharmaceutical Sciences (JP), The University of Osaka (JP)
Eli Lilly and Company, Sanofi, AbbVie, Asahi Kasei Pharma Corporation, Eisai, Teijin Pharma, Ono Pharmaceutical, Chugai Pharmaceutical, Eli Lilly Japan, Sanofi K.K., Japan Society for the Promotion of Science, Daiichi Sankyo Company, Daiichi Sankyo Europe
Reduced inequalities
Openalex Percentile: Top 2%
Rheumatoid Arthritis Research and Therapies
10.01
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.