Evidence map›Paper›PMID 36589158›Full record

ArticleFrontiers in pediatrics2022

Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units.

Daniel Hilário Santos Genu, Fernanda Lima-Setta, José Colleti, Daniela Carla de Souza, Sérgio D'Abreu Gama, Letícia Massaud-Ribeiro, Ivan Pollastrini Pistelli, José Oliva Proença Filho, Thaís de Mello Cesar Bernardi, Taísa Roberta Ramos Nantes de Castilho and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 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
0.5field-weighted citation impact, top 35% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
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  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

24 authors at 7 institutions in 1 country.

Daniel Hilário Santos GenuDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
Fernanda Lima-SettaDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
José ColletiPediatric Intensive Care Unit, Hospital Assunção, São Bernardo do Campo, SP, Brazil.
Daniela Carla de SouzaPediatric Intensive Care Unit, Hospital Sírio Libanês, São Paulo, SP, Brazil.
Sérgio D'Abreu GamaPediatric Intensive Care Unit, Urgências Pediátricas Nova Iguaçu, Nova Iguaçu, RJ, Brazil.
Letícia Massaud-RibeiroInstituto de Puericultura e Pediatria Martagão Gesteira, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Ivan Pollastrini PistelliPediatric Intensive Care Unit, Hospital São Luiz Morumbi, São Paulo, SP, Brazil.
José Oliva Proença FilhoPediatric Intensive Care Unit, Hospital e Maternidade Brasil, Santo André, SP, Brazil.
Thaís de Mello Cesar BernardiPediatric Intensive Care Unit, Hospital São Luiz Jabaquara, São Paulo, SP, Brazil.
Taísa Roberta Ramos Nantes de CastilhoPediatric Intensive Care Unit, Hospital São Luiz Anália Franco, São Paulo, SP, Brazil.
Manuela Guimarães ClementePediatric Intensive Care Unit, Hospital Esperança Olinda, Olinda, PE, Brazil.
Cibele Cristina Manzoni Ribeiro BorsettoPediatric Intensive Care Unit, Hospital São Luiz São Caetano, São Caetano do Sul, SP, Brazil.
Luiz Aurelio de OliveiraPediatric Intensive Care Unit, Hospital e Maternidade Ribeirão Pires, Ribeirão Pires, SP, Brazil.
Thallys Ramalho Suzart AlvesPediatric Intensive Care Unit, Hospital Santa Helena, Brasília, DF, Brazil.
Diogo Botelho PedrosoPediatric Intensive Care Unit, Hospital Santa Luzia, Brasília, DF, Brazil.
Fabíola Peixoto Ferreira La TorrePediatric Intensive Care Unit, Hospital e Maternidade Sino Brasileiro, Osasco, SP, Brazil.
Lunna Perdigão BorgesDepartment of Research & Development, Epimed Solutions Inc., Rio de Janeiro, RJ, Brazil.
Guilherme SantosDepartment of Research & Development, Epimed Solutions Inc., Rio de Janeiro, RJ, Brazil.
Juliana Freitas de Mello E SilvaDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
Maria Clara de Magalhães-BarbosaDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
Antonio José Ledo Alves da CunhaDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
Marcio SoaresDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
Arnaldo Prata-BarbosaDepartment of Pediatrics, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brazil.
Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)
D’Or Institute for Research and Education · BRHospital São Paulo · BRHospital Santa Luzia · BRHospital Santa Paula · BRHospital Sírio-Libanês · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Iguaçu · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2. Methods: Observational, retrospective, multicenter study, including patients younger than 16 years old admitted consecutively from October 2013 to September 2019. We assessed the Standardized Mortality Ratio (SMR), the discrimination capability (using the area under the receiver operating characteristic curve - AUROC), and the calibration. To assess the calibration, we used the calibration belt, which is a curve that represents the correlation of predicted and observed values and their 95% Confidence Interval (CI) through all the risk ranges. We also analyzed the performance of both scores in three periods: 2013-2015, 2015-2017, and 2017-2019. Results: 41,541 patients from 22 PICUs were included. Most patients aged less than 24 months (58.4%) and were admitted for medical conditions (88.6%) (respiratory conditions = 53.8%). Invasive mechanical ventilation was used in 5.8%. The median PICU length of stay was three days (IQR, 2-5), and the observed mortality was 1.8% (763 deaths). The predicted mortality by PIM3 was 1.8% (SMR 1.00; 95% CI 0.94-1.08) and by PIM2 was 2.1% (SMR 0.90; 95% CI 0.83-0.96). Both scores had good discrimination (PIM3 AUROC = 0.88 and PIM2 AUROC = 0.89). In calibration analysis, both scores overestimated mortality in the 0%-3% risk range, PIM3 tended to underestimate mortality in medium-risk patients (9%-46% risk range), and PIM2 also overestimated mortality in high-risk patients (70%-100% mortality risk). Conclusions: Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied.

Indexed as

benchmarkingintensive care unitsmortalitypediatricPIM2PIM3validation study

Identifiers

PMID36589158
PMCPMC9795232
OpenAlexW4311378899

What OpenQuestion holds

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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 OpenQuestion graph.