Evidence map›Paper›PMID 32609429›Full record

ArticleJournal of biophotonics2020

Raman spectroscopy-based detection of RNA viruses in saliva: A preliminary report.

Sanket Desai, Saket V Mishra, Asim Joshi, Debashmita Sarkar, Arti Hole, Rohit Mishra, Shilpee Dutt, Murali K Chilakapati, Sudeep Gupta, Amit Dutt

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
10.4field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

10 authors at 3 institutions in 1 country.

Sanket DesaiIntegrated Cancer Genomics Laboratory, Navi Mumbai, India.
Saket V MishraShilpee Dutt Laboratory, Navi Mumbai, India.
Asim JoshiIntegrated Cancer Genomics Laboratory, Navi Mumbai, India.
Debashmita SarkarShilpee Dutt Laboratory, Navi Mumbai, India.
Arti HoleChilkapati Laboratory, Navi Mumbai, India.
Rohit MishraIntegrated Cancer Genomics Laboratory, Navi Mumbai, India.
Shilpee DuttShilpee Dutt Laboratory, Navi Mumbai, India.
Murali K ChilakapatiChilkapati Laboratory, Navi Mumbai, India.
Sudeep GuptaDepartment of Medical Oncology, Advanced Centre for Treatment, Research, and Education in Cancer, Navi Mumbai, India.
Amit DuttIntegrated Cancer Genomics Laboratory, Navi Mumbai, India.ORCID 0000-0002-1119-4774
Homi Bhabha National Institute · INKerala State Council for Science, Technology and Environment · INMedpace (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several non-invasive Raman spectroscopy-based assays have been reported for rapid and sensitive detection of pathogens. We developed a novel statistical model for the detection of RNA viruses in saliva, based on an unbiased selection of a set of 65 Raman spectral features that mostly attribute to the RNA moieties, with a prediction accuracy of 91.6% (92.5% sensitivity and 88.8% specificity). Furthermore, to minimize variability and automate the downstream analysis of the Raman spectra, we developed a GUI-based analytical tool "RNA Virus Detector (RVD)." This conceptual framework to detect RNA viruses in saliva could form the basis for field application of Raman Spectroscopy in managing viral outbreaks, such as the ongoing COVID-19 pandemic. (http://www.actrec.gov.in/pi-webpages/AmitDutt/RVD/RVD.html).

Indexed as

HEK293 CellsHumansRNA VirusesSalivaSpectrum Analysis, RamanUser-Computer InterfaceGUI-based automated computational analysislinear discriminant analysisprincipal component analysisRaman spectroscopyRNA virus

Identifiers

PMID32609429
PMCPMC7361326
OpenAlexW3039650763

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.