Evidence map›Paper›PMID 37206021›Full record

ArticleHeliyon2023

Anti-ribosomal P protein antibodies and insomnia correlate with depression and anxiety in patients suffering from systemic lupus erythematosus.

Qi Leng, Jianling Su, Xiaolu Wang, Binyu Zhuang, Li Liu, Xinyue Deng, Yang Li

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

7 authors at 6 institutions in 1 country.

Qi LengDepartment of Geriatics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Jianling SuDepartment of Rheumatology and Clinical Immunology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Xiaolu WangDepartment of Rheumatology and Immunology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China.
Binyu ZhuangDepartment of Dermatology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Li LiuLibrary, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Xinyue DengDepartment of Breast Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine,Hangzhou, Zhejiang province, 310058, China.
Yang LiDepartment of Rheumatology and Clinical Immunology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
First Affiliated Hospital Zhejiang University · CNGuangdong Provincial People's Hospital · CNHarbin Medical University · CNSouthern Medical University · CNSun Yat-sen University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Anxiety and depression in patients with systemic lupus erythematosus (SLE) complicate clinical treatment and can seriously affect prognosis. The present study aims to investigate the effects of the anti-ribosomal P protein antibody (anti-RibP) in the peripheral blood and insomnia on the severity of anxiety and depression in case of SLE. The study compared both the results of the investigation on the objective perceptions of physicians concerning mood changes in patients with SLE and the results of self-rating scales that were completed by the enrolled patients. The conclusion of the comparation is used to determine the probability of the accurate detection of anxiety and depression by physicians. The study aims to assist in the early detection in clinical practice of abnormal emotions in patients with SLE and to summarize common clinical interventions for anxiety and depression. Method: The relationship between anxiety and depression was evaluated by the Zung self-rating anxiety/depression scale (SAS/SDS). Basic information (e.g., blood type, smoking history, drinking history, educational background, duration of illness), the insomnia severity index (ISI) results, and anti-RibP in the peripheral blood, were investigated in 107 patients with SLE in northeastern China to further analyze the correlation between the severity of depression and anti-RibP, together with the consistency between results of the questionnaire for physicians and the self-rating scale for patients. Results: Gender, smoking history, drinking history, educational background, and duration of illness were correlated with the SAS/SDS scores (P < 0.05). Family history had a significant effect on the SAS score (P = 0.031), while the SDS score was significantly correlated with blood type (P = 0.021). The ISI score was significantly and positively correlated with the SAS/SDS score (P < 0.001). The titer of anti-RibP showed a correlation with the SDS score (P < 0.05) but not with the SAS score (P = 0.198). The titer of anti-RibP was significantly higher in patients with major depression compared with those with no depression, patients with mild depression, and those with moderate depression (P < 0.001). Conclusion: Anxiety and depression in patients with SLE were correlated with sleeping, educational background, blood type, smoking history, and alcohol consumption. Although anti-RibP was not significantly correlated with anxiety, it indicated a significant correlation with major depression. Clinicians were more accurate in assessing anxiety compared with depression.

Indexed as

anti-RibPAnxietyDepressionISISystemic lupus erythematosus

Identifiers

PMID37206021
PMCPMC10189171
OpenAlexW4365143490

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.