Evidence map›Paper›PMID 37810167›Full record

ReviewHeliyon2023

Nanosensors in the detection of antihypertension drugs, a golden step for medication adherence monitoring.

Ahmad Mobed, Sarah Gholami, Amir Tahavvori, Farhood Ghazi, Zahra Masoumi, Iraj Alipourfard, Ramtin Naderian, Mehran Mohammadzadeh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ahmad MobedNeuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Sarah GholamiYoung Researchers and Ellie Club, Babol Branch. Islamic Azad University, Babol, Iran.
Amir TahavvoriInternal Department, Medical Faculty, Urmia University of Medical Sciences, Iran.
Farhood GhaziStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, 5154853431, Iran.
Zahra MasoumiStudent Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Iraj AlipourfardInstitute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland.
Ramtin NaderianStudent Committee of Medical Education Development, Education Development Center, Semnan University of Medical Science, Iran.
Mehran MohammadzadehStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, 5154853431, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is associated with structural and functional changes in blood vessels with increased arteriosclerosis, vascular inflammation, and endothelial dysfunction. Decreased adherence (compliance) to antihypertensive medications contributes significantly to morbidity and mortality in hypertensive patients. Antihypertensive drugs (AHTDs) and lifestyle changes are the main cornerstones for treating hypertension. Several approaches have been described in the literature for determining AHTDs based on different analytical techniques. Amongst biosensors are one of the most attractive tools due to their inherent advantages. Biosensors are used for the detection of wide range of biomarkers as well as different drugs in past two decades. The main focus of the present study is to review the latest biosensors developed for the detection of AHTDs. Readers of the present study will be able to familiarize themselves with biosensors as advanced and modern diagnostic tools while reviewing the most widely used AHTDs. In the present study, the routine methods are first reviewed and while examining their advantages and disadvantages, biosensors have been introduced as ideal alternative tools.

Indexed as

Antihypertension drugs (AHTDs)Clinical chemistryHypertensionMedication adherenceNanosensors

Identifiers

PMID37810167
PMCPMC10558620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.