Evidence map›Paper›PMID 34359377›Full record

ArticleDiagnostics (Basel, Switzerland)2021

To the Question on the Use of Multivariate Analysis and 2D Visualisation of Synchrotron ATR-FTIR Chemical Imaging Spectral Data in the Diagnostics of Biomimetic Sound Dentin/Dental Composite Interface.

Pavel Seredin, Dmitry Goloshchapov, Vladimir Kashkarov, Yuri Ippolitov, Ivan Ippolitov, Jitraporn Vongsvivut

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. An Update on Advanced Diagnostic Imaging in Dentistry.Diagnostics (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Article
  9. 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

6 authors.

Pavel SeredinSolid State Physics and Nanostructures Department, Voronezh State University, University sq.1, 394018 Voronezh, Russia.ORCID 0000-0002-6724-0063
Dmitry GoloshchapovSolid State Physics and Nanostructures Department, Voronezh State University, University sq.1, 394018 Voronezh, Russia.
Vladimir KashkarovSolid State Physics and Nanostructures Department, Voronezh State University, University sq.1, 394018 Voronezh, Russia.
Yuri IppolitovDepartment of Pediatric Dentistry with Orthodontia, Voronezh State Medical University, Studentcheskaya st. 11, 394006 Voronezh, Russia.
Ivan IppolitovDepartment of Pediatric Dentistry with Orthodontia, Voronezh State Medical University, Studentcheskaya st. 11, 394006 Voronezh, Russia.
Jitraporn VongsvivutInfrared Microspectroscopy (IRM) Beamline, ANSTO-Australian Synchrotron, 800 Blackburn Road, Clayton, VIC 3168, Australia.ORCID 0000-0003-0699-3464

Funding

Russian Science Foundation 21-15-00026
6 · The paper itself

Abstract

In this short communication, we provide information on the use of the hierarchical cluster analysis of synchrotron ATR-FTIR 2D chemical imaging spectral data as a useful and powerful approach to the microspectroscopic diagnostics of molecular composition in the hybrid sound dentin/dental composite interfaces and materials, including ones developed with the use of biomimetic strategies. The described diagnostic approach can be successfully transferred to the analysis and visualisation of 2D spectral data, collected using laboratory Raman and FTIR microspectroscopy techniques.

Indexed as

diagnostics of biomimetic interfacehybrid layer formationmultivariate analysissynchrotron ATR-FTIR chemical imaging visualisation

Identifiers

PMID34359377
PMCPMC8307683

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.