Evidence map›Paper›PMID 31531221›Full record

ArticleHealthcare technology letters2019

Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters.

Sarul Malik, Harsh Parikh, Neil Shah, Sneh Anand, Shalini Gupta

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Sarul MalikCenter for Biomedical Engineering, Indian Institute of Technology Delhi, India.
Harsh ParikhDepartment of Computer Science, Indian Institute of Technology Delhi, India.
Neil ShahDepartment of Computer Science, Indian Institute of Technology Delhi, India.
Sneh AnandCenter for Biomedical Engineering, Indian Institute of Technology Delhi, India.
Shalini GuptaDepartment of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas 110016, India.
Indian Institute of Technology Delhi · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a metabolic disorder that affects more than 400 million people worldwide. Most existing approaches for measuring fasting blood glucose levels (FBGLs) are invasive. This work presents a proof-of-concept study in which saliva is used as a proxy biofluid to estimate FBGL. Saliva collected from 175 volunteers was analysed using portable, handheld sensors to measure its electrochemical properties such as conductivity, redox potential, pH and K

Indexed as

bloodCa2+calciumdiabetesdiseaseselectrochemical propertieselectrochemical sensorsfasting blood glucose levelsFBGL determination processgraphical user interfacesionic concentrationsK+medical computingmetabolic disorderNa+noninvasive platformpainless FBGL estimationpatient diagnosispH measurementportable sensorspotassiumproxy biofluidsalivary electrochemical parameterssodiumsugar

Identifiers

PMID31531221
PMCPMC6718070
OpenAlexW2944553643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.