Evidence mapPaperPMID 42063441Full record

ArticleFrontiers in pediatrics2026

The role of systemic immune-inflammation Index in predicting the diagnosis of severe pneumonia in children.

Qirui Liu, Mengzhen Zhang, Hao Wei, Ailian Wang

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qirui Liu *Department of Pediatrics, Affiliated Hospital of North Sichuan Medical College, Sichuan, China.
Mengzhen Zhang *Department of Pediatrics, Affiliated Hospital of North Sichuan Medical College, Sichuan, China.
Hao WeiDepartment of Pediatrics, Affiliated Hospital of North Sichuan Medical College, Sichuan, China.
Ailian WangDepartment of Pediatrics, Affiliated Hospital of North Sichuan Medical College, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the role of Systemic Immune-Inflammation Index (SII) in predicting the diagnosis of severe pneumonia in children. Methods: A retrospective analysis included 595 pediatric community-acquired pneumonia (CAP) patients from the Affiliated Hospital of North Sichuan Medical College (January 2024-July 2025). Patients were randomly divided into development (70%) and validation (30%) sets. General clinical data and SII were collected. Statistical analysis included Mann-Whitney U, chi-square, multivariate logistic regression, and ROC analysis. A predictive nomogram was developed and evaluated for calibration, discrimination, and clinical utility. Results: SII was an independent risk factor for severe pneumonia. An SII ≥738.0 significantly increased severe pneumonia risk. A combined model including SII, infection status, length of hospital stay, and ICU admission showed higher predictive accuracy than SII alone. Conclusion: SII is a useful biomarker for predicting severe pneumonia in children. The nomogram integrating SII with clinical factors demonstrates good predictive performance.

Indexed as

childrennomogrampredictive valuesevere pneumoniasystemic immune-inflammation index

Identifiers

PMID42063441
PMCPMC13126150

What Socratic holds

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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 Socratic graph.