Trial reportClinical rheumatology2024
Development and validation of a nomogram for predicting fatigue in patients with primary Sjögren's syndrome.
Trial report in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Agomelatine for Sjögren's syndrome: a study on its therapeutic effects and mechanisms.Inflammopharmacology · 2026Article
- Development and validation of a nomogram for predicting sever cancer-related fatigue in patients with cervical cancer.BMC cancer · 2024Article
- Improved Fatigue Management in Primary Sjögren's Syndrome: A Retrospective Analysis of the Efficacy of Methotrexate in Chinese Patients.Journal of inflammation research · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and validate a nomogram to predict fatigue in patients with primary Sjögren's syndrome (pSS).
methodsIn this cross-sectional study, 251 patients with SS from the Affiliated Hospital of Nantong University were recruited. The patients were randomly divided into two groups: training group (n = 167) and validation group (n = 84). In the training group, univariate analysis and multivariate Cox regression analysis were performed on sociodemographic factors, disease activity, anxiety/depression, clinical indicators, and so on. According to the risk factors of fatigue in SS patients, a nomograph was established. In the training group and validation group, the performance of the nomogram was verified by three forms: receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).
resultThe incidence of fatigue was 40.6%. EULAR Sjögren's Syndrome Disease Activity Index, EULAR SS patient reported index, and depression were independent risk factors of fatigue in SS patients. The C-index of nomogram was 0.8532 in training set and 0.7381 in verification set, respectively. As to the Hosmer-Lemeshow test, the P value of modeling patients is 0.996 in verification (P > 0.05). DCA further validated the clinical utility of this nomogram.
conclusionThe nomogram constructed in this study can effectively predict the occurrence of fatigue in SS patients, which is helpful for clinical decision-making and subsequent intervention implementation. Key Points • Fatigue was widespread in patients with primary Sjögren's syndrome, and the incidence of fatigue was 40.6%. • Disease activity and depression were independent risk factors of fatigue in patients with Sjögren's syndrome. • This was the first comprehensive nomogram to predict fatigue for Sjögren's syndrome patients.
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Registered trials
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