Evidence map›Paper›PMID 20473243›Full record

ReviewPediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2011

Biomarker discovery and development in pediatric critical care medicine.

Jennifer M Kaplan, Hector R Wong

Abstract readReview
In one paragraph

Review in Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Prognostic and predictive enrichment in sepsis.Nature reviews. Nephrology · 2020
    Review
  11. Article
  12. Sepsis Biomarkers.Journal of pediatric intensive care · 2019
    Review
  13. Article
  14. Article
  15. Observational
  16. Sepsis Subclasses: Be Careful of What You Wish for.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017
    Article
  17. Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jennifer M KaplanDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Hector R Wong

Funding

Pediatric Center--Gene Expression /Developmental ScienceK12HD028827 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Tina Lee Cheng · 2002 to 2026
$9.6M
Genomic analysis of pediatric SIRS and septic shockR01GM064619 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2003 to 2009
$3.0M
THE PEDIATRIC SEPSIS BIOMARKER RISK MODELRC1HL100474 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2009 to 2010
$1000k
NHLBI NIH HHS RC1 HL100474NHLBI NIH HHS RC1HL100474NICHD NIH HHS K12 HD028827NICHD NIH HHS K12HD028827NIGMS NIH HHS R01 GM064619NIGMS NIH HHS R01GM064619
6 · The paper itself

Abstract

objectivesTo frame the general process of biomarker discovery and development; and to describe a proposal for the development of a multibiomarker-based risk model for pediatric septic shock. DATA SOURCE: Narrative literature review and author-generated data. DATA SELECTION: Biomarkers can be grouped into four broad classes, based on the intended function: diagnostic, monitoring, surrogate, and stratification. DATA EXTRACTION AND SYNTHESIS: Biomarker discovery and development requires a rigorous process, which is frequently not well followed in the critical care medicine literature. Very few biomarkers have successfully transitioned from the candidate stage to the true biomarker stage. There is great interest in developing diagnostic and stratification biomarkers for sepsis. Procalcitonin is currently the most promising diagnostic biomarker for sepsis. Recent evidence suggested that interleukin-8 can be used to stratify children with septic shock having a high likelihood of survival with standard care. Currently, there is a multi-institutional effort to develop a multibiomarker-based sepsis risk model intended to predict outcome and illness severity for individual children with septic shock.

conclusionsBiomarker discovery and development are an important portion of the pediatric critical care medicine translational research agenda. This effort will require collaboration across multiple institutions and investigators. Rigorous conduct of biomarker-focused research holds the promise of transforming our ability to care for individual patients and our ability to conduct clinical trials in a more effective manner.

Indexed as

BiomarkersCritical CareIntensive Care Units, PediatricConfidence IntervalsCritical IllnessEmergency MedicineHumansLikelihood FunctionsPredictive Value of TestsSensitivity and SpecificityShock, SepticBiomarkers

Identifiers

PMID20473243
PMCPMC2924462

What OpenQuestion holds

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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.