Evidence map›Paper›PMID 33214678›Full record

ArticleScientific reports2020

ATR-FTIR spectroscopy in blood plasma combined with multivariate analysis to detect HIV infection in pregnant women.

Lidiane G Silva, Ana F S Péres, Daniel L D Freitas, Camilo L M Morais, Francis L Martin, Janaina C O Crispim, Kassio M G Lima

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.5field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. 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 2 institutions in 2 countries.

Lidiane G SilvaInstitute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande Do Norte, Natal, RN, 5072-970, Brazil.
Ana F S PéresDepartment of Clinical and Toxicological Analysis, Federal University of Rio Grande Do Norte, Natal, RN, 59072-970, Brazil.
Daniel L D FreitasInstitute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande Do Norte, Natal, RN, 5072-970, Brazil.
Camilo L M MoraisSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK.
Francis L MartinBiocel Ltd, Hull, HU10 7TS, UK.
Janaina C O CrispimDepartment of Clinical and Toxicological Analysis, Federal University of Rio Grande Do Norte, Natal, RN, 59072-970, Brazil.
Kassio M G LimaInstitute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande Do Norte, Natal, RN, 5072-970, Brazil. kassiolima@gmail.com.
Universidade Federal do Rio Grande do Norte · BRUniversity of Central Lancashire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary concern for HIV-infected pregnant women is the vertical transmission that can occur during pregnancy, in the intrauterine period, during labour or even breastfeeding. The risk of vertical transmission can be reduced by early diagnosis. Therefore, it is necessary to develop new methods to detect this virus in a quick and low-cost fashion, as colorimetric assays for HIV detection tend to be laborious and costly. Herein, attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy combined with multivariate analysis was employed to distinguish HIV-infected patients from healthy uninfected controls in a total of 120 blood plasma samples. The best sensitivity (83%) and specificity (92%) values were obtained using the genetic algorithm with linear discriminant analysis (GA-LDA). These good classification results in addition to the potential for high analytical frequency, the low cost and reagent-free nature of this method demonstrate its potential as an alternative tool for HIV screening during pregnancy.

Indexed as

AdultAlgorithmsCheminformaticsDiscriminant AnalysisFemaleHIV InfectionsHumansMultivariate AnalysisPregnancyPregnancy Complications, InfectiousPrincipal Component AnalysisSpectroscopy, Fourier Transform Infrared

Identifiers

PMID33214678
PMCPMC7677535
OpenAlexW3101255208

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.