Evidence map›Paper›PMID 39849518›Full record

ReviewJournal of orthopaedic surgery and research2025

Enhancing the effectiveness of immunotherapy in rheumatoid arthritis by delaying immunosenescence triggered by fibroblast-like synoviocytes.

Li Zhang, Yang Luo, Hai-Li Shen

Abstract readReview
In one paragraph

Review in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Li ZhangDepartment of Rheumatology, Lanzhou University Second Hospital, Lanzhou University, No. 80, Cuiyingmen, Chengguan District, Lanzhou, Gansu Province, 730030, China.
Yang LuoDepartment of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu Province, 730030, China.
Hai-Li ShenDepartment of Rheumatology, Lanzhou University Second Hospital, Lanzhou University, No. 80, Cuiyingmen, Chengguan District, Lanzhou, Gansu Province, 730030, China. shenhl@Lzu.edu.cn.

Funding

Gansu Provincial Department of Science and Technology, Joint Scientific Research Fund General Project 23JRRA1505Science and Technology Project of Gansu Province, Natural Science Foundation 22JR5RA955The Intramural Research Fund of The First Hospital of Lanzhou University ldyyyn2018-23The Science and Technology Project of Lanzhou Chengguan District 2022JSCX0033
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a prevalent autoimmune disorder primarily targeting the diarthrodial joints. During the progression of RA, fibroblast-like synoviocytes (FLSs) exhibit tumor-like behavior, including increased proliferation, inflammation mediation, and aggressive phenotypes, leading to bone erosion. Additionally, T cells in RA acquire pro-inflammatory characteristics, exacerbating the inflammatory environment in affected joints and associated tissues. Notably, senescent T cells contribute to inflammation, further accelerating the disease process. Metabolic changes in rheumatoid FLSs not only maintain their tumor-like properties but also trigger inflammatory cascades, particularly affecting T lymphocytes. This review examines the molecular alterations in RA FLSs in the context of systemic immune aging, with a focus on thymic insufficiency-associated T cell senescence, and explores potential therapeutic avenues.

Indexed as

Arthritis, RheumatoidFibroblastsImmunosenescenceImmunotherapySynoviocytesAnimalsCellular SenescenceHumansT-LymphocytesFibroblast-like synoviocytesImmunosenescenceMetabolites/cytokinesRheumatoid arthritis

Identifiers

PMID39849518
PMCPMC11755870

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.