Evidence map›Paper›PMID 41305703›Full record

Observational studyMedicine2025

Global burden of TNF-α inhibitors associated demyelinating diseases: A global disproportionality analysis.

Tae Hyeon Kim, Jaeyu Park, Hyesu Jo, Jeongseon Oh, Ho Geol Woo, Dong Keon Yon

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Tae Hyeon KimDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0009-0005-2009-386
Hyesu JoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jeongseon OhCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Ho Geol WooDepartment of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0000-0003-1628-9948

Funding

MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) ITP-2024-RS-2024-00438239
6 · The paper itself

Abstract

Despite case reports linking tumor necrosis factor-alpha (TNF-α) inhibitors to demyelinating diseases, large-scale epidemiological evidence is limited. We aimed to investigate this signal detection using a global pharmacovigilance database. This study identified reports of TNF-α inhibitor-associated demyelinating disease utilizing a global pharmacovigilance database spanning from 1968 to 2024. Five TNF-α inhibitors (infliximab, adalimumab, etanercept, certolizumab pegol, and golimumab) were included in this study. The signal detection between TNF-α inhibitors and demyelinating disease was evaluated using disproportionality analysis with 2 metrics: the information component (IC) with a threshold of IC025, and the reporting odds ratio (ROR) with a 95% confidence interval (CI). Statistical significance was defined as an IC025 > 0.00 and the lower bound of the CI > 1.00. A total of 4124 reports of demyelinating diseases associated with TNF-α inhibitor use were identified. Multiple sclerosis was the most frequently reported condition (n = 2079, 50.41%). Overall, TNF-α inhibitors indicated a significant association with demyelinating diseases (ROR, 1.81 [95% CI: 1.75-1.87]; IC, 0.84 [IC025, 0.78]). Significant signal detections were observed for all 5 individual TNF-α inhibitors. Both multiple sclerosis (ROR, 1.52 [95% CI: 1.46-1.59]; IC, 0.60 [IC025, 0.43]) and Guillain-Barré syndrome (ROR, 1.53 [95% CI: 1.40-1.68]; IC, 0.60 [IC025, 0.45]) showed significant signal detection with TNF-α inhibitors. This large-scale pharmacovigilance study confirmed significant signal detection between TNF-α inhibitors and several demyelinating diseases, particularly multiple sclerosis and Guillain-Barré syndrome, with signals observed across most agents. Clinicians should remain vigilant for neurological symptoms in patients receiving these therapies. Although this disproportionality analysis did not permit causal interpretation, it is important to recognize that the therapeutic benefits of TNF-α inhibitors in managing inflammatory and autoimmune diseases may still outweigh these potential risks.

Indexed as

Demyelinating DiseasesTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsAdalimumabAdultAntibodies, MonoclonalCertolizumab PegolEtanerceptFemaleHumansInfliximabMaleMiddle AgedMultiple SclerosisPharmacovigilanceAdalimumabAntibodies, MonoclonalCertolizumab PegolEtanerceptgolimumabInfliximabTumor Necrosis Factor-alphaTumor Necrosis Factor Inhibitorsdemyelinating diseaseGuillain–Barré syndromemultiple sclerosispharmacovigilanceTNF-α inhibitor

Identifiers

PMID41305703
PMCPMC12643773

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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.