Evidence map›Paper›PMID 37842550›Full record

ArticleEClinicalMedicine2023

Distinct clinical phenotypes in paediatric cancer patients with sepsis are associated with different outcomes-an international multicentre retrospective study.

Roelie M Wösten-van Asperen, Hannah M la Roi-Teeuw, Rombout Be van Amstel, Lieuwe Dj Bos, Wim Je Tissing, Iolanda Jordan, Christian Dohna-Schwake, Gabriella Bottari, John Pappachan, Roman Crazzolara and 16 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. The Phoenix Sepsis Score in Pediatric Oncology Patients With Sepsis at PICU Admission: Test of Performance in a European Multicenter Cohort, 2018-2020.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
    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

26 authors at 20 institutions in 11 countries.

Roelie M Wösten-van AsperenDepartment of Paediatric Intensive Care, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht, the Netherlands.
Hannah M la Roi-TeeuwDepartment of Paediatric Intensive Care, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht, the Netherlands.
Rombout Be van AmstelIntensive Care, Amsterdam UMC-location AMC, University of Amsterdam, Amsterdam, the Netherlands.
Lieuwe Dj BosIntensive Care, Amsterdam UMC-location AMC, University of Amsterdam, Amsterdam, the Netherlands.
Wim Je TissingPrincess Máxima Centre for Pediatric Oncology, Utrecht, the Netherlands.
Iolanda JordanDepartment of Paediatric Intensive Care and Institut de Recerca, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain.
Christian Dohna-SchwakeDepartment of Paediatrics I, Paediatric Intensive Care, Children's Hospital Essen, Germany.
Gabriella BottariPaediatric Intensive Care Unit, Children's Hospital Bambino Gesù, IRCSS, Rome, Italy.
John PappachanDepartment of Paediatric Intensive Care, Southampton Children's Hospital, UK.
Roman CrazzolaraDepartment of Paediatrics, Paediatric Intensive Care Unit, Medical University of Innsbruck, Innsbruck, Austria.
Rosanna I ComorettoDepartment of Paediatric Intensive Care, Department of Woman's and Child's Health, Padua University Hospital, Padua, Italy.
Agniezka Mizia-MalarzDepartment of Paediatric Oncology, Haematology and Chemotherapy Unit, Medical University of Silesia, Katowice, Poland.
Andrea MoscatelliNeonatal and Paediatric Intensive Care Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy.
María Sánchez-MartínDepartment of Paediatric Intensive Care, Hospital Universitario La Paz, Madrid, Spain.
Jef WillemsDepartment of Paediatric Intensive Care, Ghent University Hospital, Ghent, Belgium.
Colin M RogersonDepartment of Paediatrics, Division of Critical Care, Indianapolis University School of Medicine, Indianapolis, IN, USA.
Tellen D BennettDepartments of Biomedical Informatics and Paediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Yuan LuoDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Mihir R AtreyaDepartment of Paediatrics (Critical Care), University of Cincinnati College of Medicine, Cincinnati Children's Hospital Medical Centre, Cincinnati, OH, USA.
E Vincent S FaustinoDepartment of Paediatrics, Yale School of Medicine, New Haven, CT, USA.
Alon GevaDepartment of Anaesthesiology, Critical Care, and Pain Medicine and Computational Health Informatics Program, Boston Children's Hospital, USA.
Scott L WeissDivision of Critical Care, Department of Paediatrics, Nemours Children's Health, Delaware, USA.
Luregn J SchlapbachDepartment of Intensive Care and Neonatology and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
L Nelson Sanchez-PintoDepartment of Paediatrics (Critical Care) and Preventive Medicine (Health & Biomedical Informatics), Northwestern University Feinberg School of Medicine and Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA.
POKER (PICU Oncology Kids in Europe Research group) research consortium of ESPNIC (European Society of Paediatric & Neonatal Intensive Care), and
Novel Data-Driven Sepsis Phenotypes in Children study group
Wilhelmina Children's Hospital · NLAmsterdam Neuroscience · NLHospital Universitario La Paz · ESNorthwestern University · USBambino Gesù Children's Hospital · ITBoston Children's Hospital · USCincinnati Children's Hospital Medical Center · USEssen University Hospital · DEGhent University Hospital · BEHospital Sant Joan de Déu Barcelona · ESInnsbruck Medical University · ATIstituto Giannina Gaslini · ITMedical University of Silesia · PLNemours Children's Health System · USSouthampton Children's Hospital · GBThe University of Queensland · AUUniversity Medical Center Groningen · NLUniversity of Colorado Denver · USUniversity of Indianapolis · USUniversity of Padua · IT

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Modeling the Incompleteness and Biases of Health DataR01LM013337 · NLM · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LUO, YUAN · 2020 to 2023
$1.3M
A Data-Driven Analysis of Pediatric Organ Dysfunction Patterns To Discover Sepsis PhenotypesR21HD096402 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI SANCHEZ-PINTO, LAZARO NELSON · 2019 to 2020
$541k
NCATS NIH HHS UL1 TR001863NICHD NIH HHS R21 HD096402NLM NIH HHS R01 LM013337
6 · The paper itself

Abstract

Background: Identifying phenotypes in sepsis patients may enable precision medicine approaches. However, the generalisability of these phenotypes to specific patient populations is unclear. Given that paediatric cancer patients with sepsis have different host response and pathogen profiles and higher mortality rates when compared to non-cancer patients, we determined whether unique, reproducible, and clinically-relevant sepsis phenotypes exist in this specific patient population. Methods: We studied patients with underlying malignancies admitted with sepsis to one of 25 paediatric intensive care units (PICUs) participating in two large, multi-centre, observational cohorts from the European SCOTER study (n = 383 patients; study period between January 1, 2018 and January 1, 2020) and the U.S. Novel Data-Driven Sepsis Phenotypes in Children study (n = 1898 patients; study period between January 1, 2012 and January 1, 2018). We independently used latent class analysis (LCA) in both cohorts to identify phenotypes using demographic, clinical, and laboratory data from the first 24 h of PICU admission. We then tested the association of the phenotypes with clinical outcomes in both cohorts. Findings: LCA identified two distinct phenotypes that were comparable across both cohorts. Phenotype 1 was characterised by lower serum bicarbonate and albumin, markedly increased lactate and hepatic, renal, and coagulation abnormalities when compared to phenotype 2. Patients with phenotype 1 had a higher 90-day mortality (European cohort 29.2% versus 13.4%, U.S. cohort 27.3% versus 11.4%, p < 0.001) and received more vasopressor and renal replacement therapy than patients with phenotype 2. After adjusting for severity of organ dysfunction, haematological cancer, prior stem cell transplantation and age, phenotype 1 was associated with an adjusted OR of death at 90-day of 1.9 (1.04-3.34) in the European cohort and 1.6 (1.2-2.2) in the U.S. cohort. Interpretation: We identified two clinically-relevant sepsis phenotypes in paediatric cancer patients that are reproducible across two international, multicentre cohorts with prognostic implications. These results may guide further research regarding therapeutic approaches for these specific phenotypes. Funding: Part of this study is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Indexed as

Latent class analysisOncologyPaediatric intensive carePhenotypeSepsis

Identifiers

PMID37842550
PMCPMC10570699
OpenAlexW4387388008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.