Evidence map›Paper›PMID 32365644›Full record

ArticleMolecules (Basel, Switzerland)2020

Fourier Transform Infrared Spectroscopy Based Complementary Diagnosis Tool for Autism Spectrum Disorder in Children and Adolescents.

Gulce Ogruc Ildiz, Sevgi Bayari, Ahmet Karadag, Ersin Kaygisiz, Rui Fausto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

5 authors.

Gulce Ogruc IldizDepartment of Physics, Faculty of Sciences and Letters, Istanbul Kultur University, 34158 Istanbul, Turke.ORCID 0000-0002-7827-5050
Sevgi BayariDepartment of Physics Engineering, Hacettepe University, 06800 Ankara, Turkey.
Ahmet KaradagDepartment of Physics, Faculty of Sciences and Letters, Istanbul Kultur University, 34158 Istanbul, Turke.
Ersin KaygisizDepartment of Geological Engineering, Istanbul University-Cerrahpasa, 34320 Istanbul, Turkey.ORCID 0000-0002-1945-2870
Rui FaustoDepartment of Chemistry, CQC, University of Coimbra, P-3004-535 Coimbra, Portugal.ORCID 0000-0002-8264-6854

Funding

Coimbra Chemistry Centre UI0313/QUI/2019Scientific and Technological Research Council of Turkey-TUBITAK 1001 Project 116Z294
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that begins early in life and continues lifelong with strong personal and societal implications. It affects about 1%-2% of the children population in the world. The absence of auxiliary methods that can complement the clinical evaluation of ASD increases the probability of false identification of the disorder, especially in the case of very young children. In this study, analytical models for auxiliary diagnosis of ASD in children and adolescents, based on the analysis of patients' blood serum ATR-FTIR (Attenuated Total Reflectance-Fourier Transform Infrared) spectra, were developed. The models use chemometrics (either Principal Component Analysis (PCA) or Partial Least Squares Discriminant Analysis (PLS-DA)) methods, with the infrared spectra being the

Indexed as

BiomarkersAdolescentAutism Spectrum DisorderCase-Control StudiesChildChild, PreschoolCluster AnalysisFemaleHumansMalePrincipal Component AnalysisSpectroscopy, Fourier Transform InfraredBiomarkersautism spectrum disorderchemometricsFTIR spectroscopy

Identifiers

PMID32365644
PMCPMC7249117

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Registered trials

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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.