In one paragraphArticle in Neurology(R) neuroimmunology & neuroinflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
27 authors.
Young Nam KwonDepartment of Neurology, Medical Research Institute, Kangbuk Samsung Hospital, Seoul, Republic of Korea.ORCID 0000-0002-3588-274X Miguel Leal RatoNMO Service, Department of Clinical Neurosciences, Oxford University Hospitals, United Kingdom.ORCID 0000-0003-2233-0468 Jun-Soon KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.ORCID 0000-0001-7685-2793 Kyung Seok ParkDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Hyung-Soo LeeDepartment of Neurology, National Medical Center, Seoul, Republic of Korea.
Seol-Hee BaekDepartment of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.ORCID 0000-0002-3656-1833 Byung-Jo KimDepartment of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0445-7185 Yeon Hak ChungDepartment of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea.
Ju-Hong MinDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-7338-9067 Sooyoung KimDepartment of Neurology, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea.ORCID 0000-0002-2917-1618 Eunhee SohnDepartment of Neurology, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea.ORCID 0000-0001-5610-7606 Seong-Il OhDepartment of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-8067-2135 Sang Beom KimDepartment of Neurology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Seung Woo KimDepartment of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-5621-0811 Ha Young ShinDepartment of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-4408-8265 Ki Hoon KimDepartment of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-6428-061X Ho Jin KimDepartment of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-8672-8419 Boram KimDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Republic of Korea; and.ORCID 0000-0002-3943-7213 Jung-Joon SungDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Republic of Korea; and.ORCID 0000-0001-7525-5313 Silvia MessinaNMO Service, Department of Clinical Neurosciences, Oxford University Hospitals, United Kingdom.ORCID 0000-0002-1134-5771 Mark R WoodhallOxford Autoimmune Neurology Diagnostic Laboratory, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0009-0008-5980-7462 Halwan BayuanggaOxford Autoimmune Neurology Diagnostic Laboratory, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Maria Isabel LeiteNMO Service, Department of Clinical Neurosciences, Oxford University Hospitals, United Kingdom.ORCID 0000-0002-4277-9855 Ruth GeraldesNMO Service, Department of Clinical Neurosciences, Oxford University Hospitals, United Kingdom.ORCID 0000-0001-5829-808X Jacqueline PalaceNMO Service, Department of Clinical Neurosciences, Oxford University Hospitals, United Kingdom.ORCID 0000-0003-4779-6133 Patrick J WatersOxford Autoimmune Neurology Diagnostic Laboratory, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-4142-2667 Sung-Min KimDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Republic of Korea; and.ORCID 0000-0003-2425-6388 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
BACKGROUND AND
objectivesA proportion of patients with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) experience relapses, but biomarkers predicting which patients are likely to relapse are not yet widely available. The MOGα1 isoform is the most commonly used in diagnostic MOG antibody assays, while the clinical relevance of antibodies against other MOG isoforms remains unclear.
methodsThis study used a stepwise approach using international multicenter serum samples collected prospectively. First, diagnostic accuracy of the MOGα1 and β1 isoforms was compared using 748 consecutive sera from Korean patients suspected of having demyelinating disease of the CNS. Next, the predictive values of antibodies against each of 7 MOG isoforms for relapses were assessed on sera from Korean patients with MOGAD (derivation cohort). Finally, the association between MOG isoform antibody with relapses was validated in 2 independent cohorts: a Korean validation cohort (n = 49) and a UK validation cohort (n = 56).
resultsBoth MOGα1 antibody and MOGβ1 antibody assays had comparable diagnostic accuracy. Among patients with MOGAD, the presence of MOGα3 antibody was associated with a higher risk of relapse, with a hazard ratio of 4.3 in the derivation cohort (log-rank DISCUSSION: The presence of MOGα3-IgG in patients with MOGAD may be associated with an increased risk of relapse, indicating that early preventive treatment strategies may be appropriate in these individuals. MOGβ1-IgG demonstrated diagnostic accuracy similar to MOGα1-IgG. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that MOGα1 antibody and MOGβ1 antibody assays have comparable diagnostic accuracy for MOGAD.
Indexed as
AutoantibodiesMyelin-Oligodendrocyte GlycoproteinMyelin Oligodendrocyte Glycoprotein Antibody-Associated DiseaseAdultBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedProtein IsoformsRecurrenceYoung AdultAutoantibodiesBiomarkersMOG protein, humanMyelin-Oligodendrocyte GlycoproteinProtein Isoforms
Identifiers
PMID42777168
PMCPMC13609827
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