Evidence map›Paper›PMID 31878023›Full record

ReviewSensors (Basel, Switzerland)2019

Metabolic Syndrome-An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies.

Madhurantakam Sasya, K S Shalini Devi, Jayanth K Babu, John Bosco Balaguru Rayappan, Uma Maheswari Krishnan

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 14 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 2 countries.

Madhurantakam SasyaDepartment of Molecular Physiology, School of Medicine, Niigata University, Niigata-9518510, Japan.
K S Shalini DeviCentre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed-to-be University, Thanjavur 613401, India.
Jayanth K BabuCentre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed-to-be University, Thanjavur 613401, India.
John Bosco Balaguru RayappanCentre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed-to-be University, Thanjavur 613401, India.
Uma Maheswari KrishnanDepartment of Molecular Physiology, School of Medicine, Niigata University, Niigata-9518510, Japan.
SASTRA University · INNiigata University · JP

Funding

department of science and technology IF120812Japan Society for the Promotion of Science P18411Medical Research Council MR/P027881/1Research councils UK MR/P027881/1
6 · The paper itself

Abstract

Metabolic syndrome is a condition that results from dysfunction of different metabolic pathways leading to increased risk of disorders such as hyperglycemia, atherosclerosis, cardiovascular diseases, cancer, neurodegenerative disorders etc. As this condition cannot be diagnosed based on a single marker, multiple markers need to be detected and quantified to assess the risk facing an individual of metabolic syndrome. In this context, chemical- and bio-sensors capable of detecting multiple analytes may provide an appropriate diagnostic strategy. Research in this field has resulted in the evolution of sensors from the first generation to a fourth generation of 'smart' sensors. A shift in the sensing paradigm involving the sensing element and transduction strategy has also resulted in remarkable advancements in biomedical diagnostics particularly in terms of higher sensitivity and selectivity towards analyte molecule and rapid response time. This review encapsulates the significant advancements reported so far in the field of sensors developed for biomarkers of metabolic syndrome.

Indexed as

biomarkersbiosensorelectrochemistrymetabolic syndromenanomaterials

Identifiers

PMID31878023
PMCPMC6982738
OpenAlexW2996097398

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.