Evidence map›Paper›PMID 24244295›Full record

Trial reportPloS one2013

Analysis of serum inflammatory mediators identifies unique dynamic networks associated with death and spontaneous survival in pediatric acute liver failure.

Nabil Azhar, Cordelia Ziraldo, Derek Barclay, David A Rudnick, Robert H Squires, Yoram Vodovotz, Pediatric Acute Liver Failure Study Group

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
6.7field-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.

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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Hepatitis B Virus Variants and Cytokine Patterns in Acute Liver Failure and Transplant-Free Survival.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Observational
  4. Article
  5. Article
  6. Article
  7. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Observational
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Nabil AzharDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America ; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America ; Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Cordelia Ziraldo
Derek Barclay
David A Rudnick
Robert H Squires
Yoram Vodovotz
Pediatric Acute Liver Failure Study Group
University of Pittsburgh · USMcGowan Institute for Regenerative Medicine · USWashington University in St. Louis · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Multi-Center Group to Study Acute Liver Failure in ChildU01DK072146 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SQUIRES, ROBERT H · 2005 to 2014
$23.2M
NCATS NIH HHS UL1 TR001082NCRR NIH HHS UL1 RR025780NIDDK NIH HHS 3U01 DK072146-05S1NIDDK NIH HHS 5U01 DK072146NIDDK NIH HHS U01 DK072146
6 · The paper itself

Abstract

backgroundTools to predict death or spontaneous survival are necessary to inform liver transplantation (LTx) decisions in pediatric acute liver failure (PALF), but such tools are not available. Recent data suggest that immune/inflammatory dysregulation occurs in the setting of acute liver failure. We hypothesized that specific, dynamic, and measurable patterns of immune/inflammatory dysregulation will correlate with outcomes in PALF.

methodsWe assayed 26 inflammatory mediators on stored serum samples obtained from a convenience sample of 49 children in the PALF study group (PALFSG) collected within 7 days after enrollment. Outcomes were assessed within 21 days of enrollment consisting of spontaneous survivors, non-survivors, and LTx recipients. Data were subjected to statistical analysis, patient-specific Principal Component Analysis (PCA), and Dynamic Bayesian Network (DBN) inference.

findingsRaw inflammatory mediator levels assessed over time did not distinguish among PALF outcomes. However, DBN analysis did reveal distinct interferon-gamma-related networks that distinguished spontaneous survivors from those who died. The network identified in LTx patients pre-transplant was more like that seen in spontaneous survivors than in those who died, a finding supported by PCA.

interpretationThe application of DBN analysis of inflammatory mediators in this small patient sample appears to differentiate survivors from non-survivors in PALF. Patterns associated with LTx pre-transplant were more like those seen in spontaneous survivors than in those who died. DBN-based analyses might lead to a better prediction of outcome in PALF, and could also have more general utility in other complex diseases with an inflammatory etiology.

Indexed as

AdolescentChildChild, PreschoolDisease-Free SurvivalFemaleHumansInfantInflammation MediatorsLiver Failure, AcuteLiver TransplantationMaleRetrospective StudiesSurvival RateInflammation Mediators

Identifiers

PMID24244295
PMCPMC3823926
OpenAlexW2162780863

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.