Evidence map›Paper›PMID 38888664›Full record

ArticleClinical and experimental medicine2024

Exploring the impact of acute viral exposure on clinical characteristics and antibody profiles in antiphospholipid syndrome: a study in CAPSTONE.

Chuhan Wang, Hui Jiang, Siyun Chen, Yuan Zhao, Jun Li, Can Huang, Yangzhong Zhou, Qian Wang, Xinping Tian, Mengtao Li and 4 more

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 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
–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. Infection-Triggered Antiphospholipid Syndrome: A Critical Overview.Open access rheumatology : research and reviews · 2025
    Review
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

14 authors.

Chuhan Wang *Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Hui Jiang *Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Siyun ChenDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Yuan ZhaoDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Jun LiDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Can HuangDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Yangzhong ZhouDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Qian WangDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Xinping TianDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Mengtao LiDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Xiaofeng ZengDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Yan ZhaoDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China.
Chuancong WuDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China. 1084176048@qq.com.
Jiuliang ZhaoDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Beijing, 100730, China. zjlpumc@sina.com.

Funding

Beijing Municipal Science & Technology Commission No.Z201100005520025CAMS Innovation Fund for Medical Sciences 2021-I2M-1-005National High Level Hospital Clinical Research Funding 2022-PUMCH-A-008, B-013, C-002the Chinese National Key Technology R&D Program, Ministry of Science and Technology 2021YFC2501300
6 · The paper itself

Abstract

The relationship between antiphospholipid syndrome (APS) and acute viral infection, such as SARS-CoV-2, is unclear. This study aims to assess symptoms, antiphospholipid antibody (aPL) fluctuations, and complication risks in APS patients infected with SARS-CoV-2. APS patients from Peking Union Medical College Hospital during the COVID-19 outbreak (October-December 2022) were included. Age- and gender-matched APS patients without infection served as controls. Data on demographics, symptoms, treatments, and serum aPL levels were analyzed. Of 234 APS patients, 107 (45.7%) were infected with SARS-CoV-2. Typical symptoms included high fever (81.3%), cough/expectoration (70.1%), and pharyngalgia (52.3%). Age- and gender-based matching selected 97 patients in either infected or uninfected group. After infection, anti-β-2-glycoprotein I-IgG (aβ2GP1-IgG) increased from 4.14 to 4.18 AU/ml, aβ2GP1-IgM decreased from 9.85 to 7.38 AU/ml, and anticardiolipin-IgA (aCL-IgA) significantly increased with a median remaining at 2.50 APLU/ml. Lupus anticoagulants and other aPLs remained stable. Arterial thrombosis incidence increased from 18 (18.6%) to 21 (21.6%), while venous thrombosis incidence did not change. Additionally, 7 (6.5%) patients presented either new-onset or worsening thrombocytopenia, characterized by a significant decline in platelet count (no less than 10 × 10

Indexed as

Antibodies, AntiphospholipidAntiphospholipid SyndromeCOVID-19SARS-CoV-2AdultAgedAntibodies, Anticardiolipinbeta 2-Glycoprotein IChinaFemaleHumansImmunoglobulin GMaleMiddle AgedAntibodies, AnticardiolipinAntibodies, Antiphospholipidbeta 2-Glycoprotein IImmunoglobulin GAntiphospholipid antibodyAntiphospholipid syndromeSARS-CoV-2Thrombocytopenia

Identifiers

PMID38888664
PMCPMC11189343

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.