Evidence map›Paper›PMID 24964230›Full record

ReviewPediatric research2014

Systems-level perspective of sudden infant death syndrome.

Nathan Salomonis

Open access · hybridAbstract readReview
In one paragraph

Review in Pediatric research, 2014. 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
0.5field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Noncardiac genetic predisposition in sudden infant death syndrome.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  5. Article
  6. Article
  7. Assigning cause for sudden unexpected infant death.Forensic science, medicine, and pathology · 2015
    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

1 author at 1 institution in 1 country.

Nathan SalomonisDepartment of Pediatrics, Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center Research Foundation, Cincinnati, Ohio.
Cincinnati Children's Hospital Medical Center · US

Funding

GenMAPP-CS, a dynamic resource pathway analysisR01GM080223 · NIGMS · J. DAVID GLADSTONE INSTITUTES · PI CONKLIN, BRUCE R · 2007 to 2010
$2.0M
NIGMS NIH HHS GM080223-06S1NIGMS NIH HHS R01 GM080223
6 · The paper itself

Abstract

Sudden infant death syndrome (SIDS) remains one of the primary causes of infant mortality in developed countries. Although the causes of SIDS remain largely inconclusive, some of the most informative associations implicate molecular, genetic, anatomical, physiological, and environmental (i.e., infant sleep) factors. Thus, a comprehensive and evolving systems-level model is required to understand SIDS susceptibility. Such models, by being powerful enough to uncover indirect associations, could be used to expand our list of candidate targets for in-depth analysis. We present an integrated WikiPathways model for SIDS susceptibility that includes associated cell systems, signaling pathways, genetics, and animal phenotypes. Experimental and literature-based gene-regulatory data have been integrated into this model to identify intersecting upstream control elements and associated interactions. To expand this pathway model, we performed a comprehensive analysis of existing proteomics data from brainstem samples of infants with SIDS. From this analysis, we discovered changes in the expression of several proteins linked to known SIDS pathologies, including factors involved in glial cell production, hypoxia regulation, and synaptic vesicle release, in addition to interactions with annotated SIDS markers. Our results highlight new targets for further consideration that further enrich this pathway model, which, over time, can improve as a wiki-based, community curation project.

Indexed as

Systems BiologyAnimalsBrain StemCause of DeathComputer SimulationDatabases, GeneticDatabases, ProteinGene Regulatory NetworksGenetic MarkersGenetic Predisposition to DiseaseGenomicsHumansInfantInfant MortalityInfant, NewbornNerve Tissue ProteinsGenetic MarkersNerve Tissue Proteins

Identifiers

PMID24964230
PMCPMC4193964
OpenAlexW1983475175

What OpenQuestion holds

Textmetadata
LicenceTDM
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.