Evidence map›Paper›PMID 41656733›Full record

ArticleJPEN. Journal of parenteral and enteral nutrition2026

Performance of different nutrition risk screening tools in predicting malnutrition in critically ill children on mechanical ventilation: A comparison study.

Ning Li, Jing Chen, Xiuxiu Lu, Wei Li, Dong Qu, Shuang Liu, Lin Wang

Abstract readComparative Study
In one paragraph

Article in JPEN. Journal of parenteral and enteral nutrition, 2026. 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
–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

3 citing papers in PubMed.

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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.

Ning LiDepartment of Critical Care Medicine, Capital Institute of Pediatrics, Capital Center for Children's Health, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0002-9004-6354
Jing ChenDepartment of Critical Care Medicine, Capital Institute of Pediatrics, Capital Center for Children's Health, Capital Medical University, Beijing, China.
Xiuxiu LuDepartment of Critical Care Medicine, Capital Institute of Pediatrics, Capital Center for Children's Health, Capital Medical University, Beijing, China.
Wei LiDepartment of Critical Care Medicine, Capital Institute of Pediatrics, Capital Center for Children's Health, Capital Medical University, Beijing, China.
Dong QuDepartment of Critical Care Medicine, Capital Institute of Pediatrics, Capital Center for Children's Health, Capital Medical University, Beijing, China.
Shuang LiuDepartment of Critical Care Medicine, Capital Institute of Pediatrics, Capital Center for Children's Health, Capital Medical University, Beijing, China.
Lin WangCapital Institute of Pediatrics, Center of Children's Healthcare, Capital Center for Children's Health, Capital Medical University, Beijing, China.

Funding

Beijing Natural Science Foundation 7232235Beijing Natural Science Foundation Haidian Original Innovation Joint Fund L232121Capital's Funds for Health Improvement and Research 2024-1-1131National Natural Science Foundation of China 82273645
6 · The paper itself

Abstract

backgroundThis study aimed to characterize the distribution of nutrition status and nutrition risk stratification in critically ill children undergoing mechanical ventilation and to evaluate the association of nutrition risk with their clinical outcomes.

methodsThis comparison study included 375 critically ill children receiving mechanical ventilation (invasive or noninvasive, duration ≥24 h). Nutrition status at admission was evaluated using body mass index z score, and nutrition risk was assessed via three validated tools: Paediatric Yorkhill Malnutrition Score (PYMS), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Screening Tool for Risk on Nutritional Status and Growth (STRONGkids). Clinical data were extracted from electronic records.

resultsThree hundred seventy-five critically ill children undergoing mechanical ventilation were enrolled (207 boys, 168 girls; median age, 8 [2-26.5] months), with 246 receiving invasive and 129 noninvasive ventilation; 20.6% had moderate-severe malnutrition (59.7% in invasive ventilation). All tools identified >60% at high risk. STRONGkids (area under the curve [AUC], 0.90) and PYMS (AUC, 0.86) better predicted malnutrition than STAMP (AUC, 0.74). STRONGkids (AUC, 0.89) outperformed in mortality prediction. Higher risk correlated with longer ventilation/pediatric intensive care unit stay, higher costs, and worse outcomes (P < 0.05). Multivariate analysis showed malnutrition, clinical diagnosis, and lactate level as independent risk factors and no organ dysfunction, healthy serum prealbumin level, and healthy serum albumin level as protective factors.

conclusionPYMS and STRONGkids demonstrated high predictive value for moderate-to-severe malnutrition and mortality in children undergoing mechanical ventilation.

Indexed as

Critical IllnessMalnutritionNutritional StatusNutrition AssessmentRespiration, ArtificialArea Under CurveBody Mass IndexChild, PreschoolFemaleHumansInfantIntensive Care Units, PediatricLength of StayMaleRisk AssessmentRisk Factorschildrencritically illmechanical ventilationnutrition risknutrition status

Identifiers

PMID41656733
PMCPMC13169076

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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.