Evidence map›Paper›PMID 38011018›Full record

ArticleCancer medicine2023

Prediction of attributable mortality in pediatric patients with cancer admitted to the intensive care unit for suspected infection: A comprehensive evaluation of risk scores.

Zachary Rubnitz, Yilun Sun, Asya Agulnik, Pamela Merritt, Kim Allison, Jose Ferrolino, Ronald Dallas, Li Tang, Joshua Wolf

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 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

9 authors.

Zachary RubnitzDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Yilun SunDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Asya AgulnikDepartment of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0001-8932-8181
Pamela MerrittDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Kim AllisonDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Jose FerrolinoDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0003-4008-5507
Ronald DallasDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Li TangDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Joshua WolfDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0002-9912-3646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of existing sepsis scores for prediction of adverse outcomes in children with cancer admitted to the ICU with suspected sepsis.

designRetrospective chart review using data available at 1, 6, 12, and 24 h after ICU admission to calculate the Pediatric Risk of Mortality 3 (PRISM-3), Pediatric Sequential Organ Failure Assessment (pSOFA), Paediatric Logistic Organ Dysfunction 2 (PELOD-2), and Quick Pediatric Sequential Organ Failure Assessment (qSOFA) scores. Area under the receiver operator characteristic curve (AUROC) was used to evaluate performance for prediction of attributable mortality. Sensitivity analyses included recalculation of scores using worst preceding values for each variable, excluding hematologic parameters, and prediction of alternative outcomes.

settingSt. Jude Children's Research Hospital, a pediatric comprehensive cancer center in the USA. PATIENTS: Pediatric patients (<25 years of age) receiving conventional therapy for cancer admitted to the ICU with suspected sepsis between 2013 and 2019.

resultsOf 207 included episodes of suspected sepsis, attributable mortality was 16 (7.7%) and all evaluated sepsis scores performed poorly (maximal AUROC of 0.73 for qSOFA at 1 and 24 h). Sensitivity analyses did not identify an alternative approach that significantly improved prediction.

conclusionsCurrently available sepsis scores perform poorly for prediction of attributable mortality in children with cancer who present to ICU with suspected sepsis. More research is needed to identify reliable predictors of adverse outcomes in this population.

Indexed as

NeoplasmsSepsisChildHospital MortalityHumansIntensive Care UnitsPrognosisRetrospective StudiesRisk FactorsROC Curvechildreninfectionneoplasmpredictionsepsis

Identifiers

PMID38011018
PMCPMC10726759

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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.