Evidence map›Paper›PMID 40735266›Full record

ArticleJournal of inflammation research2025

A Nomogram Based on Immune Inflammation Indicators for Rotaviral Diarrhea in Children Under 5 years Old: A Single-Center Retrospective Cohort Study.

Jing Chen, Xiao Chen, Xiaoling Huang, Jia Liu, Qingfeng Yu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jing Chen *Department of Pediatrics, The First People's Hospital of Neijiang, Neijiang, Sichuan, People's Republic of China.ORCID 0000-0001-9080-6427
Xiao Chen *Department of Orthopedics, The First People's Hospital of Neijiang, Neijiang, Sichuan, People's Republic of China.
Xiaoling HuangDepartment of Pediatrics, The First People's Hospital of Neijiang, Neijiang, Sichuan, People's Republic of China.
Jia LiuDepartment of Pediatrics, The First People's Hospital of Neijiang, Neijiang, Sichuan, People's Republic of China.
Qingfeng YuDepartment of Pediatrics, The First People's Hospital of Neijiang, Neijiang, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the relationship between immune inflammation indicators and rotaviral-induced diarrhea in children under five years old. Methods: This retrospective cohort study included 439 children with diarrhea between January 2022 and December 2023. Clinical and laboratory data were retrospectively collected. The least absolute shrinkage and selection operator (LASSO), univariate, and multivariate logistic regression analyses were used to identify the risk factors in the training cohort, which were used to develop a nomogram model. The accuracy of the nomogram was assessed using a calibration plot. Finally, Decision curve analysis was used to examine the clinical utility of the nomogram, and internal validation was performed in the training set. Results: Among the 439 children, 120 developed rotaviral-induced diarrhea, with a prevalence rate of 27.33%. The systemic inflammatory response index (SIRI), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-albumin ratio (NAR), and C-reactive protein-to-albumin ratio (CAR) were identified as independent predictors of rotaviral diarrhea in the training cohort. A nomogram model was established using multivariable logistic analysis, with an AUC of 0.795 (95% CI, 0.743-0.848) in the training set and 0.787 (95% CI, 0.694-0.879) in the validation set. Calibration curves indicated strong agreement between the predicted and actual probabilities. Decision curve analysis demonstrated substantial net benefits of the nomogram model for predicting the risk of rotaviral diarrhea in these children. Conclusion: This study confirms that the immune inflammation indicators SIRI, LMR, NAR, and CAR predict the risk of rotaviral diarrhea in children under five years old. The nomogram model developed using these indicators demonstrates excellent predictive capability for the risk of rotaviral diarrhea.

Indexed as

childrenimmune inflammation indicatorsnomogramrotaviral diarrhea

Identifiers

PMID40735266
PMCPMC12306578

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.