Evidence map›Paper›PMID 40493652›Full record

ArticlePloS one2025

Predictors of neuropsychiatric manifestations in pediatric patients with lupus.

Wei Jiang, Xin Peng, Liqun Dong, Ling Wu, Yazhen Di, Li Lin

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wei JiangDepartment of Pediatric Rheumatology and Immunology, Women's and Children's Hospital of Ningbo University, Ningbo City, Zhejiang Province, China.
Xin PengDivision of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-1456-0872
Liqun DongDivision of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Ling WuDepartment of Pediatric Rheumatology and Immunology, Women's and Children's Hospital of Ningbo University, Ningbo City, Zhejiang Province, China.
Yazhen DiDepartment of Pediatric Rheumatology and Immunology, Women's and Children's Hospital of Ningbo University, Ningbo City, Zhejiang Province, China.
Li LinDivision of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of neuropsychiatric systemic lupus erythematosus (NPSLE) in children remains challenging in clinical settings. This study aims to describe the autoantibodies, organ disorders, the SLEDAI-2K score, and complement levels at the time of diagnosis in systemic lupus erythematosus (SLE) as well as investigate the predictors of NPSLE. We reviewed medical records of hospitalized children with SLE (< 18 years old) and extracted information on clinical features, serum autoantibodies, and laboratory test results. Multivariable logistic regression was used to establish the predictors of NPSLE and SLE without neuropsychiatric manifestations. Results revealed that 22.8% of children with NPSLE had higher ANA levels and SLEDAI-2K scores, lower C4 levels, and greater AMA-M2, β2GPI Abs, Anti-Rib-P Ab, ANCA, and LAC positivity at SLE diagnosis. The predictors of NPSLE were β2GPI-Abs (OR = 4.603), anti-Rib-P Ab (OR = 4.153), and SLEDAI-2K score (OR = 1.215). In summary, the findings show that the SLEDAI-2K score, β2GPI-Abs, and anti-Rib-P Ab are predictors of NPSLE.

Indexed as

Lupus Erythematosus, SystemicLupus Vasculitis, Central Nervous SystemAdolescentAutoantibodiesChildChild, PreschoolFemaleHumansMaleRetrospective StudiesAutoantibodies

Identifiers

PMID40493652
PMCPMC12151350

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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.