Evidence map›Paper›PMID 30046865›Full record

ArticleAnalytical and bioanalytical chemistry2018

Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing.

Surya P Singh, Soumavo Mukherjee, Luis H Galindo, Peter T C So, Ramachandra Rao Dasari, Uzma Zubair Khan, Raghuraman Kannan, Anandhi Upendran, Jeon Woong Kang

Erratum issuedAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Surya P SinghLaser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Soumavo MukherjeeDepartment of Biological Engineering, School of Medicine, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Luis H GalindoLaser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Peter T C SoLaser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Ramachandra Rao DasariLaser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Uzma Zubair KhanDepartment of Endocrinology, School of Medicine, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Raghuraman KannanDepartment of Radiology, School of Medicine, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Anandhi UpendranMU-institute of Clinical and Translational Sciences (MU-iCATS), School of Medicine, University of Missouri-Columbia, Columbia, MO, 65211, USA. upendrana@health.missouri.edu.
Jeon Woong KangLaser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. jwkang76@mit.edu.

Funding

Wide-Field Short-Wave Infrared (SWIR) multiphoton (MP) tissue imagingP41EB015871 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2012 to 2021
$11.3M
Characterizing mechanisms of sickle cell crisis via dynamic optical assayR01HL121386 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2014 to 2016
$1.7M
Next generation high-throughput random access imaging, in vivoU01NS090438 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI NEDIVI, ELLY, SO, PETER T. · 2014 to 2016
$1.4M
New technologies for in vivo spectral resolved high speed multiphoton microscopsyR21NS091982 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI NEDIVI, ELLY, SO, PETER T. · 2015 to 2016
$429k
NHLBI NIH HHS R01 HL121386NIBIB NIH HHS P41 EB015871NIH HHS P41-EB015871-30NINDS NIH HHS R21 NS091982NINDS NIH HHS U01 NS090438
6 · The paper itself

Abstract

Optical monitoring of blood glucose levels for non-invasive diagnosis is a growing area of research. Recent efforts in this direction have been inclined towards reducing the requirement of calibration framework. Here, we are presenting a systematic investigation on the influence of variation in the ratio of calibration and validation points on the prospective predictive accuracy of spectral models. A fiber-optic probe coupled Raman system has been employed for transcutaneous measurements. Limit of agreement analysis between serum and partial least square regression predicted spectroscopic glucose values has been performed for accurate comparison. Findings are suggestive of strong predictive accuracy of spectroscopic models without requiring substantive calibration measurements. Graphical abstract.

Indexed as

Blood GlucoseModels, BiologicalBiosensing TechniquesCalibrationLeast-Squares AnalysisSpectrum Analysis, RamanValidation Studies as TopicBlood GlucoseDiabetesGlucose sensingPartial least squares regressionRaman spectroscopy

Identifiers

PMID30046865
PMCPMC6128756

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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.