Evidence map›Paper›PMID 38563457›Full record

ArticleJournal of clinical laboratory analysis2024

Clinical Performance of Immunonephelometric Assay and Chemiluminescent Immunoassay for Detection of IgG Subclasses in Chinese.

Yan Qin, Yuhan Jia, Congcong Liang, Rui Fu, Zhaojun Liang, Yanlin Wang, Min Feng, Chong Gao, Jing Luo

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2024. 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
0.9field-weighted citation impact, top 26% of its field
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, 2 citations in OpenAlex.

  1. Diagnostic methods for managing dry eyes.World journal of methodology · 2025
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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

9 authors at 2 institutions in 2 countries.

Yan QinDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.ORCID https://orcid.org/0000-0001-5348-8124
Yuhan JiaThe Shanxi Medical University, Taiyuan, Shanxi, China.
Congcong LiangDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Rui FuDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Zhaojun LiangDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yanlin WangDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Min FengDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chong GaoDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jing LuoDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.ORCID https://orcid.org/0000-0003-2702-120X
Shanxi Medical University · CNBrigham and Women's Hospital · US

Funding

Central Government Guides Local Science and Technology Development Fund YDZJSX2022C031Nature Fund Projects of Shanxi Science and Technology Department 201901D111377Research Project Supported by Shanxi Scholarship Council of China 2020-191Science and Technology Innovation Project of Shanxi Province 2020SYS08Scientific Research Project of Health commission of Shanxi Province 2019044
6 · The paper itself

Abstract

backgroundDetection of IgG subclasses (IgGSc) is vital for the diagnosis and management of disease, especially IgG4-related diseases (IgG4-RD). This study aimed to evaluate the performances of the chemiluminescent immunoassay (CLIA) for detecting IgGSc and diagnosing IgG4-RD by IgGSc.

methodsA total of 40 individuals with IgG4-RD, 40 with primary Sjogren's syndrome (pSS), and 40 healthy controls (HCs) were enrolled. Serum samples were collected for the simultaneous detection of IgG1, IgG2, IgG3, and IgG4 by the Siemens immunonephelometric assay and the CLIA. The correlation analysis was performed, and diagnostic value was analyzed by the receiver operating characteristic (ROC) curve.

resultsPatients with IgG4-RD had higher IgG4 (p < 0.001) and lower IgG1 (p < 0.001) than those with pSS, and HC. The results by the Siemens immunonephelometric assay and the CLIA showed a strong correlation in detecting IgG1, IgG2, IgG3, and IgG4 (r = 0.937, r = 0.847, r = 0.871, r = 0.990, all p < 0.001, respectively). The sum of IgG1, IgG2, IgG3, and IgG4 using two assays strongly correlated with total IgG by the IMMAGE 800 (r = 0.866, r = 0.811, both p < 0.001, respectively). For discriminating IgG4-RD from pSS and HC, no significant differences were observed in CLIA IgG4 and Siemens immunonephelometric assay IgG4 (z = 0.138, p = 0.891), which provided the area under the curves (AUCs) of 0.951 (p < 0.001) and 0.950 (p < 0.001), respectively. The AUCs of CLIA IgG1 and Siemens immunonephelometric assay IgG1 in distinguishing pSS from IgG4-RD and HC were 0.761 (p < 0.001) and 0.765 (p < 0.001), respectively, with no significant differences (z = 0.228, p = 0.820).

conclusionsThe CLIA and the Siemens immunonephelometric assay appeared to have good consistency with comparable diagnostic value in detecting IgGSc, especially IgG4, and IgG1 that can accurately identify IgG4-RD or pSS in clinical practice.

Indexed as

Immunoglobulin GLuminescent MeasurementsAdultAgedCase-Control StudiesChinaEast Asian PeopleFemaleHumansImmunoassayImmunoglobulin G4-Related DiseaseMaleMiddle AgedNephelometry and TurbidimetryROC CurveSjogren's SyndromeImmunoglobulin Gchemiluminescent immunoassayIgG4‐related diseasesIgG subclassesimmunonephelometric assayprimary Sjogren's syndrome

Identifiers

PMID38563457
PMCPMC11073813
OpenAlexW4393410397

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.