Evidence map›Paper›PMID 29568526›Full record

ArticleBiomarker research2018

Erythrocyte fatty acid profiles in children are not predictive of autism spectrum disorder status: a case control study.

Daniel P Howsmon, James B Adams, Uwe Kruger, Elizabeth Geis, Eva Gehn, Juergen Hahn

Abstract read
In one paragraph

Article in Biomarker research, 2018. 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
–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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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

6 authors.

Daniel P Howsmon1Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, 12180 NY USA.
James B Adams3School for Engineering of Matter, Transport, and Energy, Arizona State University, PO Box: 876106, Tempe, 85281 AZ USA.
Uwe Kruger4Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, 12180 NY USA.
Elizabeth Geis3School for Engineering of Matter, Transport, and Energy, Arizona State University, PO Box: 876106, Tempe, 85281 AZ USA.
Eva Gehn3School for Engineering of Matter, Transport, and Energy, Arizona State University, PO Box: 876106, Tempe, 85281 AZ USA.
Juergen Hahn1Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, 12180 NY USA.

Funding

Modeling and Analysis of the Role of Microbiota Metabolites in T-Cell DifferentiationR01AI110642 · NIAID · TEXAS ENGINEERING EXPERIMENT STATION · PI ALANIZ, ROBERT CHRISTOPHER, HAHN, JUERGEN · 2015 to 2019
$2.0M
NIAID NIH HHS R01 AI110642
6 · The paper itself

Abstract

Biomarkers promise biomolecular explanations as well as reliable diagnostics, stratification, and treatment strategies that have the potential to help mitigate the effects of disorders. While no reliable biomarker has yet been found for autism spectrum disorder (ASD), fatty acids have been investigated as potential biomarkers because of their association with brain development and neural functions. However, the ability of fatty acids to classify individuals with ASD from age/gender-matched neurotypical (NEU) peers has largely been ignored in favor of investigating population-level differences. Contrary to existing work, this classification task between ASD and NEU cohorts is the main focus of this work. The data presented herein suggest that fatty acids do not allow for classification at the individual level.

Indexed as

Autism spectrum disorderDiagnostic biomarkersFatty acidsMultivariate statistical analysis

Identifiers

PMID29568526
PMCPMC5853097

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.