Evidence map›Paper›PMID 37191810›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023

Establishment of a comprehensive diagnostic model for neuromyelitis optica spectrum disorders based on the analysis of laboratory indicators and clinical data.

Wencan Jiang, Xiaoxuan Yin, Yufei Wang, Yaowei Ding, Yu Pan, Guanghui Zheng, Hong Lv, Kelin Chen, Siwen Li, Lijuan Wang and 3 more

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. 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. Article
  2. 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

13 authors.

Wencan Jiang *Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Xiaoxuan Yin *Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Yufei Wang *Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Yaowei DingDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Yu PanDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Guanghui ZhengDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Hong LvDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Kelin ChenDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Siwen LiDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Lijuan WangDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Yijun ShiDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Guoge LiDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Guojun ZhangDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China. guojun.zhang@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-4911-5784

Funding

Beijing Association for Science and Technology BYESS2022170Digestive Medical Coordinated Development Center of Beijing Hospitals Authority ZYLX202108
6 · The paper itself

Abstract

backgroundTo establish a comprehensive diagnostic model for neuromyelitis optica spectrum disorders (NMOSDs) based on laboratory indicators and clinical data.

methodsA retrospective method was used to query the medical records of patients with NMOSD from January 2019 to December 2021. At the same time, clinical data of other neurological diseases were also collected for comparison. Clinical data of the NMOSD group and non-NMOSD group were analyzed, and the diagnostic model was established based on these data. In addition, the model was evaluated and verified by the receiver operating curve.

resultsA total of 73 patients with NMOSD were included, and the ratio of males to females was 1:3.06. The indicators that showed differences between the NMOSD group and non NMOSD group included neutrophils (P = 0.0438), PT (P = 0.0028), APTT (P < 0.0001), CK (P = 0.002), IBIL (P = 0.0181), DBIL (P < 0.0001), TG (P = 0.0078), TC (P = 0.0117), LDL-C (P = 0.0054), ApoA1 (P = 0.0123), ApoB (P = 0.0217), TPO antibody (P = 0.012), T3 (P = 0.0446), B lymphocyte subsets (P = 0.0437), urine sg (P = 0.0123), urine pH (P = 0.0462), anti-SS-A antibody (P = 0.0036), RO-52 (P = 0.0138), CSF simplex virus antibody I-IGG (P = 0.0103), anti-AQP4 antibody (P < 0.0001), and anti-MOG antibody (P = 0.0036). Logistic regression analysis showed that changes in ocular symptoms, anti-SSA antibody, anti-TPO antibody, B lymphocyte subsets, anti-AQP4 antibody, anti-MOG antibody, TG, LDL, ApoB, and APTT had a significant impact on diagnosis. The AUC of the combined analysis was 0.959. The AUC of the new ROC for AQP4- and MOG- antibody negative NMOSD was 0.862.

conclusionsA diagnostic model was successfully established, which can play an important role in differential diagnosis of NMOSD.

Indexed as

Neuromyelitis OpticaAquaporin 4AutoantibodiesFemaleHumansImmunoglobulin GMaleMyelin-Oligodendrocyte GlycoproteinRetrospective StudiesAquaporin 4AutoantibodiesImmunoglobulin GMyelin-Oligodendrocyte GlycoproteinClinical featuresDiagnostic modelLaboratory indicatorsNeurological diseasesNeuromyelitis optica spectrum disorders (NMOSD)

Identifiers

PMID37191810

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.