Evidence map›Paper›PMID 36100796›Full record

ArticleWorld journal of pediatrics : WJP2022

Performance of the PRISM I, PIM2, PELOD-2 and PRISM IV scoring systems in western China: a multicenter prospective study.

Xue-Peng Zhang, Yun-Xia Feng, Yang Li, Guo-Yan Lu, Xin-Yue Zhou, Can-Zheng Wei, Xi-Ying Gui, Kai-Ying Yang, Tong Qiu, Jiang-Yuan Zhou and 7 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in World journal of pediatrics : WJP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Comparative Performance of Pediatric Risk of Mortality IV and Pediatric Index of Mortality 3 in Critically Ill Children with Cancer: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  4. Article
  5. 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

17 authors.

Xue-Peng Zhang *Department of Pediatric Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yun-Xia Feng *Department of Nephrology, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, China.
Yang LiDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China.
Guo-Yan LuDepartment of Pediatric Critical Care Medicine, West China Women's and Children's Hospital, Sichuan University, Chengdu, 610041, China.
Xin-Yue ZhouDepartment of Pediatric Critical Care Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610041, China.
Can-Zheng WeiDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China.
Xi-Ying GuiDepartment of Critical Care Medicine, People's Hospital of Tibet Autonomous Region, Lhasa, 850000, China.
Kai-Ying YangDepartment of Pediatric Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.
Tong QiuDepartment of Pediatric Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.
Jiang-Yuan ZhouDepartment of Pediatric Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.
Hua YaoDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China.
Geng ZhangDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China.
Wen-Qi ZhangDepartment of Anesthesiology, the Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, China.
Yu-Hang HuDepartment of Pediatric Critical Care Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610041, China.
Hong WuDepartment of Critical Care Medicine, People's Hospital of Tibet Autonomous Region, Lhasa, 850000, China.
Si-Yuan ChenDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China. siy_chen@163.com.
Yi JiDepartment of Pediatric Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China. jijiyuanyuan@163.com.ORCID 0000-0002-9289-9660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate the performance of the four scoring tools in predicting mortality in pediatric intensive care units (PICUs) in western China.

methodsThis was a multicenter, prospective, cohort study conducted in six PICUs in western China. The performances of the scoring systems were evaluated based on both discrimination and calibration. Discrimination was assessed by calculating the area under the receiver operating characteristic curve (AUC) for each model. Calibration was measured across defined groups based on mortality risk using the Hosmer-Lemeshow goodness-of-fit test.

resultsA total of 2034 patients were included in this study, of whom 127 (6.2%) died. For the entire cohort, AUCs for Pediatric Risk of Mortality Score (PRISM) I, Pediatric Index of Mortality 2 (PIM2), Pediatric Logistic Organ Dysfunction Score-2 (PELOD-2) and PRISM IV were 0.88 [95% confidence interval (CI) 0.85-0.92], 0.84 (95% CI 0.80-0.88), 0.80 (95% CI 0.75-0.85), and 0.91 (95% CI 0.88-0.94), respectively. The Hosmer-Lemeshow goodness-of-fit Chi-square value was 12.71 (P = 0.12) for PRISM I, 4.70 (P = 0.79) for PIM2, 205.98 (P < 0.001) for PELOD-2, and 7.50 (P = 0.48) for PRISM IV [degree of freedom (df) = 8]. The standardized mortality ratios obtained with the PRISM I, PIM2, PELOD-2, and PRISM IV models were 0.87 (95% CI, 0.75-1.01), 0.97 (95% CI, 0.85-1.12), 1.74 (95% CI, 1.58-1.92), and 1.05 (95% CI, 0.92-1.21), respectively.

conclusionsPRISM IV performed best and can be used as a prediction tool in PICUs in Western China. However, PRISM IV needs to be further validated in NICUs.

Indexed as

Intensive Care Units, PediatricProto-Oncogene ProteinsArea Under CurveChildCohort StudiesHospital MortalityHumansInfantProspective StudiesProtein Serine-Threonine KinasesRepressor ProteinsROC CurveSeverity of Illness IndexPIM2 protein, humanProtein Serine-Threonine KinasesProto-Oncogene ProteinsRepressor ProteinsIllness severity scoreIntensive careMortality predictionPediatric

Identifiers

PMID36100796

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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.