Evidence map›Paper›PMID 31723040›Full record

ArticleScience translational medicine2019

Prospective clinical testing and experimental validation of the Pediatric Sepsis Biomarker Risk Model.

Hector R Wong, J Timothy Caldwell, Natalie Z Cvijanovich, Scott L Weiss, Julie C Fitzgerald, Michael T Bigham, Parag N Jain, Adam Schwarz, Riad Lutfi, Jeffrey Nowak and 7 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05311046 (Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.6field-weighted citation impact, top 3% 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.

NCT05311046 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics

TypeobservationalSponsorComputer Technology Associates, Inc.Ran2026 to 2029Enrolled12,961ConditionsSepsisArmsPediatric sepsis screening tool (either algorithmic or manual)
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 99 citations in OpenAlex.

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  13. The Translational Value of Rodent Models of Sepsis.American journal of respiratory and critical care medicine · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 15 institutions in 2 countries.

Hector R WongDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH 45229, USA. hector.wong@cchmc.org.ORCID 0000-0001-7989-1173
J Timothy CaldwellDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH 45229, USA.
Natalie Z CvijanovichUCSF Benioff Children's Hospital Oakland, Oakland, CA 94609, USA.ORCID 0000-0001-9905-4137
Scott L WeissChildren's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-7040-3281
Julie C FitzgeraldChildren's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-9936-9569
Michael T BighamAkron Children's Hospital, Akron, OH 44308, USA.ORCID 0000-0002-5085-2231
Parag N JainTexas Children's Hospital and Baylor College of Medicine, Houston, TX 77030, USA.
Adam SchwarzChildren's Hospital of Orange County, Orange, CA 92868, USA.ORCID 0000-0003-0651-8487
Riad LutfiRiley Hospital for Children, Indianapolis, IN 46202, USA.ORCID 0000-0002-9416-7113
Jeffrey NowakChildren's Hospital and Clinics of Minnesota, Minneapolis, MN 55404, USA.
Geoffrey L AllenChildren's Mercy Hospital, Kansas City, MO 64108, USA.
Neal J ThomasPenn State Hershey Children's Hospital, Hershey, PA 17033, USA.ORCID 0000-0002-7991-7510
Jocelyn R GrunwellChildren's Healthcare of Atlanta at Egleston, Atlanta, GA 30322, USA.
Torrey BainesUniversity of Florida Health Shands Children's Hospital, Gainesville, FL 32610, USA.ORCID 0000-0003-3959-2106
Michael QuasneyCS Mott Children's Hospital at the University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-0003-6500
Bereketeab HaileselassieLucile Packard Children's Hospital Stanford, Palo Alto, CA 94304, USA.ORCID 0000-0002-0120-3366
Christopher J LindsellVanderbilt University Medical Center, Nashville, TN 37212, USA.ORCID 0000-0002-3297-2811
Children's Hospital of Philadelphia · USCincinnati Children's Hospital Medical Center · USAkron Children's Hospital · USBaylor College of Medicine · USChildren's Healthcare of Atlanta · USChildren's Hospital of Orange County · USChildren's Mercy Hospital · USChildren’s Minnesota - St. Paul Hospital · USC. S. Mott Children's Hospital · USLucile Packard Children's Hospital · USPenn State Milton S. Hershey Medical Center · USRiley Hospital for Children · USUCSF Benioff Children's Hospital · USUF Health Shands Hospital · USVanderbilt University Medical Center · US

Funding

Supplement for MIRA award_Wong_2021R35GM126943 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI ALDER, MATTHEW N · 2018 to 2022
$2.7M
NIGMS NIH HHS R35 GM126943
6 · The paper itself

Abstract

Sepsis remains a major public health problem with no major therapeutic advances over the last several decades. The clinical and biological heterogeneity of sepsis have limited success of potential new therapies. Accordingly, there is considerable interest in developing a precision medicine approach to inform more rational development, testing, and targeting of new therapies. We previously developed the Pediatric Sepsis Biomarker Risk Model (PERSEVERE) to estimate mortality risk and proposed its use as a prognostic enrichment tool in sepsis clinical trials; prognostic enrichment selects patients based on mortality risk independent of treatment. Here, we show that PERSEVERE has excellent performance in a diverse cohort of children with septic shock with potential for use as a predictive enrichment strategy; predictive enrichment selects patients based on likely response to treatment. We demonstrate that the PERSEVERE biomarkers are reliably associated with mortality in mice challenged with experimental sepsis, thus providing an opportunity to test precision medicine strategies in the preclinical setting. Using this model, we tested two clinically feasible therapeutic strategies, guided by the PERSEVERE-based enrichment, and found that mice identified as high risk for mortality had a greater bacterial burden and could be rescued by higher doses of antibiotics. The association between higher pathogen burden and higher mortality risk was corroborated among critically ill children with septic shock. This bedside to bench to bedside approach provides proof of principle for PERSEVERE-guided application of precision medicine in sepsis.

Indexed as

Models, BiologicalAnimalsArea Under CurveBiomarkersCecumChildDecision TreesHumansLigationMaleMice, Inbred C57BLProspective StudiesPuncturesRisk AssessmentRisk FactorsSepsisBiomarkers

Identifiers

PMID31723040
PMCPMC7720682
OpenAlexW2985953291

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.