ArticleItalian journal of pediatrics2025
Development of an early mortality risk prediction model for pediatric patients with secondary hemophagocytic lymphohistiocytosis.
Article in Italian journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Review
- Clinical characteristics and an admission-time predictive model for severe scrub typhus and secondary HLH in adults.BMC infectious diseases · 2026Article
- Unveiling pediatric secondary hemophagocytic lymphohistiocytosis: a comprehensive analysis of etiology, diagnosis, and treatment.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundTo establish a visual prediction model for the risk of early mortality in pediatric patients with secondary hemophagocytic lymphohistiocytosis (sHLH).
methodsA retrospective analysis was conducted on 128 pediatric sHLH cases diagnosed at the Affiliated Hospital of Zunyi Medical University between January 2012 and April 2023. Logistic regression analysis was employed to identify prognostic factors for pediatric patients with sHLH. A nomogram prediction model was constructed using R software. The receiver operating characteristic (ROC) curve, calibration curve, decision clinical curve (DCA), and clinical impact curve (CIC) were plotted to evaluate the discriminative power and clinical application value of the prediction model.
resultsAmong the 128 pediatric patients with sHLH included in the study, 90 (70.31%) were associated with infections, and 37 (28.9%) died within 30 days after admission. In the fully adjusted model, central nervous system involvement (CNSI) (OR = 9.496, 95% CI = 2.965-30.410), prognostic nutrition index (PNI) (OR = 0.931, 95% CI = 0.872-0.994), and activated partial thromboplastin time (APTT) (OR = 1.029, 95% CI = 1.007-1.052) were identified as independent risk factors affecting early mortality risk in pediatric patients with sHLH, while the use of blood purification combined with HLH-94/2004 treatment (OR = 0.097, 95% CI = 0.024-0.395) was an independent protective factor. Based on these independent prognostic factors, a nomogram prediction model was constructed. The ROC curve (AUC = 0.880) and calibration curve (χ
conclusionThe nomogram model has good discriminability and accuracy in predicting the risk of early death in pediatric patients with sHLH.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.