Evidence map›Paper›PMID 42110214›Full record

ArticleComputational and structural biotechnology journal2026

Transformer-Based Multiomics Study Identifies Important Role of Glycine, Serine, and Threonine Metabolism Pathway in Rheumatoid Arthritis Complicated by Anemia.

Jiaxin Huang, Yuanli Wei, Dongmei Wang, Zhuming Yin, Jianghua Chen, Congcong Jian, Xiaoting Zhu, Shilin Li, Jie Zhang, Tingting Wang and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jiaxin HuangInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, Sichuan 637000, China.ORCID https://orcid.org/0009-0001-8301-3119
Yuanli WeiDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Dongmei WangDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Zhuming YinTianjin Medical University Cancer Institute and Hospital, Tianjin 300000, China.ORCID https://orcid.org/0000-0001-9748-5697
Jianghua ChenDazhou Vocational College of Chinese Medicine, Dazhou, Sichuan 635000, China.
Congcong JianDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Xiaoting ZhuDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Shilin LiDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Jie ZhangDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Tingting WangDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Caizhen LiuDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Lingli WeiDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Jing GaoDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Jing ZhuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, Chengdu, Sichuan 610072, China.
Qinghua ZouDepartment of Rheumatology and Immunology, First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
Jianhong WuDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Fanxin ZengInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, Sichuan 637000, China.ORCID https://orcid.org/0000-0002-7337-4463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is frequently complicated by anemia, which exacerbates disease progression and worsens clinical outcomes. This study aimed to characterize the molecular alterations associated with RA complicated by anemia (RA_ane) using a transformer-based machine learning architecture combined with multiomics aggregation. Retrospective clinical analysis demonstrated a high incidence of anemia in patients with RA, which strongly correlated with systemic inflammation (

Identifiers

PMID42110214
PMCPMC13150071

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.