Evidence map›Paper›PMID 32319030›Full record

ReviewMedical & biological engineering & computing2020

The past, present, and prospective on UV-VIS-NIR skin photonics and spectroscopy-a wavelength guide.

Abdul Halim Poh, F R M Adikan, Mahmoud Moghavvemi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Abdul Halim PohDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
F R M AdikanDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. rafiq@um.edu.my.
Mahmoud MoghavvemiDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.

Funding

Ministry of Higher Education, Malaysia FRGS/2/2014/TK03/UM/01/1 (FP003-2014B)Universiti Malaya PG096-2016A
6 · The paper itself

Abstract

The study and applications of in vivo skin optics have been openly documented as early as the year 1954, or possibly earlier. To date, challenges in analyzing the complexities of this field remain, with wide scopes requiring more scrutiny. Recent advances in spectroscopic research and multivariate analytics allow a closer look into applications potentially for detecting or monitoring diseases. One of the challenges in this field is in establishing a reference for applications which correspond to certain bandwidths. This article reviews the scope on past research on skin spectroscopy, and the clinical aspects which have or may have applications on disease detection or enhancing diagnostics. A summary is supplied on the technicalities surrounding the measurements reported in literature, focused towards the wavelength-dependent applications in themes central to the respective research. Analytics on the topology of the papers' data cited in this work is also provided for a statistical perspective. In short, this paper strives to immediately inform the reader with possible applications via the spectroscopic devices at hand. Graphical Abstract .

Indexed as

Blood CirculationErythemaHumansInfantMelaninsMonitoring, PhysiologicOptics and PhotonicsOximetrySkinSkin DiseasesSpectrometry, FluorescenceSpectrophotometry, UltravioletSpectroscopy, Fourier Transform InfraredSpectroscopy, Near-InfraredSpectrum Analysis, RamanMelaninsIn vivo diagnosticsNear infraredOptoelectronicsSkin reflectanceSpectrometryUltravioletVisible

Identifiers

PMID32319030

What OpenQuestion holds

Textmetadata
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.