Evidence map›Paper›PMID 41939896›Full record

SynthesisFrontiers in immunology2026

Qualitative evaluation of pharmacological strategy for connective tissue diseases with Guillain-Barré syndrome: a systematic review.

Gaodi Yuan, Xiaomei Yang, Xue Xue, Jixian Yang, Zixia Yu, Lang Zhang, Jun Feng, Xiongyan Luo, Xiaoli Zheng, Anji Xiong

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 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

10 authors.

Gaodi YuanDepartment of Rheumatology and Immunology, Beijing Anzhen Nanchong Hospital, Capital Medical University and Nanchong Central Hospital, The Affiliated Nanchong Central Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Xiaomei YangDepartment of Otolaryngology, Beijing Anzhen Nanchong Hospital, Capital Medical University and Nanchong Central Hospital, The Affiliated Nanchong Central Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Xue XueDepartment of Rheumatology and Immunology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Jixian YangDepartment of Rheumatology and Immunology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Zixia YuDepartment of Rheumatology and Immunology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Lang ZhangDepartment of Rheumatology and Immunology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Jun FengDepartment of Otolaryngology, Beijing Anzhen Nanchong Hospital, Capital Medical University and Nanchong Central Hospital, The Affiliated Nanchong Central Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Xiongyan LuoDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaoli ZhengSchool of Basic Medicine, Southwest Medical University, Luzhou, Sichuan, China.
Anji XiongDepartment of Rheumatology and Immunology, The First People's Hospital of Neijiang, Neijiang, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically evaluate the pharmacological management of Guillain-Barré syndrome occurring in the context of connective tissue diseases (CTD-GBS) and to investigate the relative efficacy of different treatment regimens on neurological outcomes. Methods: Case reports and series regarding CTD-GBS were systematically retrieved from PubMed, Embase, and Web of Science databases. A Generalized Linear Mixed Model (GLMM) was utilized to assess independent associations between treatment regimens and neurological improvement, adjusting for key covariates including mechanical ventilation (as a baseline severity marker) and the year of publication. Results: A total of 105 CTD-GBS patients were identified, with systemic lupus erythematosus (SLE) being the most prevalent subtype (n=73). Multivariable GLMM analysis suggested that, compared to intravenous immunoglobulin (IVIG) monotherapy, intensive combination regimens specifically glucocorticoids combined immunosuppressants (GC + IS) demonstrated a potential association with higher odds of clinical improvement (adjusted Odds Ratio [aOR] = 30.90; 95% CI: 6.58-145.00; p < 0.001). Mechanical ventilation was identified as an independent negative predictor of recovery (aOR = 0.43; p = 0.037), while the year of publication did not significantly influence outcomes (p = 0.344). Descriptive analysis within the SLE-GBS subgroup corroborated these trends, with the GC + IS regimen achieving a clinical improvement rate of 88.9%. Conclusion: Preliminary evidence suggests that intensive immunosuppressive combination therapy, notably GC + IS, may offer advantages over traditional IVIG monotherapy in improving short-term neurological outcomes for CTD-GBS patients. However, given the reliance on retrospective case-based evidence and the potential for confounding by indication, these findings should be interpreted as hypothesis-generating clinical clues rather than definitive guidelines. Future large-scale, prospective studies utilizing standardized functional assessment scales are urgently required to validate these preliminary observations.

Indexed as

Connective Tissue DiseasesGlucocorticoidsGuillain-Barre SyndromeImmunosuppressive AgentsDrug Therapy, CombinationHumansImmunoglobulins, IntravenousTreatment OutcomeGlucocorticoidsImmunoglobulins, IntravenousImmunosuppressive Agentscase reportsconnective tissue diseases (CTDs)Guillain-Barré syndrome (GBS)pharmacological treatmentsystematic review

Identifiers

PMID41939896
PMCPMC13047961

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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.