Evidence map›Paper›PMID 38997725›Full record

Observational studyArthritis research & therapy2024

Serum GM-CSF level is a predictor of treatment response to tocilizumab in rheumatoid arthritis patients: a prospective observational cohort study.

Jingbo Su, Wenlu Hu, Yanxia Ding, Panpan Zhang, Tianfang Li, Shengyun Liu, Lihua Xing

Abstract readObservational Study
In one paragraph

Observational study in Arthritis research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

7 authors.

Jingbo SuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China.
Wenlu HuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China.
Yanxia DingDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China.
Panpan ZhangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China.
Tianfang LiDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China.
Shengyun LiuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China. fccliusy2@zzu.edu.cn.
Lihua XingDepartment of Respiratory, the First Affiliated Hospital of Zhengzhou University, E. Jianshe Rd. 1, Zhengzhou, 450052, China. fsmyhx2024@163.com.

Funding

Henan Province Medical Science and Technology Research Program Joint Construction Projects LHGJ20190062
6 · The paper itself

Abstract

backgroundThe aim of this prospective observational cohort study was to unveil the predictors of treatment response to tocilizumab (TCZ) therapy in rheumatoid arthritis (RA) patients, in terms of clinical characteristics and serum proinflammatory cytokines, especially to explore the predictive value of granulocyte macrophage-colony stimulating factor (GM-CSF).

methodsActive adult RA patients with inadequate response to MTX intending to receive TCZ therapy were recruited prospectively in the study. A total of 174 severe RA patients were included for the identification of the associations between treatment response and the following characteristic features: demographics, medications, disease activity, serum proinflammatory cytokines and so on.

resultsDisease duration (OR = 0.996), tender joint count (TJC)/68 (OR = 0.943), neutrophil ratio (W4/baseline) (OR = 0.224), the high level of GM-CSF > 5 ng/ml (OR = 0.414) at baseline were the independent adverse predictors of good response assessed by clinical disease activity index (CDAI) at week 24 (W24) for TCZ therapy in RA patients. Moreover, DAS28-ESR (OR = 2.951, P = 0.002) and the high level of GM-CSF > 10 ng/ml at baseline (OR = 5.419, P = 0.002) were independent predictors of poor response, but not the high level of GM-CSF > 5 ng/ml (OR = 2.713, P = 0.054). The patients in the high GM-CSF group had significantly higher DAS28-ESR and serum levels of cytokines (IL-17A, IL-1β, IL-6, TNF-α) at baseline, as well as significantly higher rate of non-good response (62.8% vs. 39.4%, P = 0.010) and poor response (27.9% vs. 9.1%, P = 0.004) than the low GM-CSF group at W24. In addition, poor responders had significantly higher levels of GM-CSF with concomitant increase in the serum levels of IL-17A and IL-1β at baseline than those in moderate and good response groups, while serum levels of IL-6 and TNF-α at baseline were not significantly different in three response groups.

conclusionThe high levels of GM-CSF (> 5 ng/ml and > 10 ng/ml) at baseline were the independent predictors of non-good response and poor response to TCZ at W24 respectively. The high level of GM-CSF at baseline is a marker of high disease activity and a predictor of poor response to TCZ in severe RA patients, which may facilitate the development of individualized treatment strategies for refractory RA.

Indexed as

Antibodies, Monoclonal, HumanizedAntirheumatic AgentsArthritis, RheumatoidGranulocyte-Macrophage Colony-Stimulating FactorAdultAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesTreatment OutcomeAntibodies, Monoclonal, HumanizedAntirheumatic AgentsBiomarkersGranulocyte-Macrophage Colony-Stimulating FactortocilizumabGM-CSFPredictorsRheumatoid arthritisTocilizumabTreatment response

Identifiers

PMID38997725
PMCPMC11241958

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.