Evidence map›Paper›PMID 36832048›Full record

ReviewBiosensors2023

Approaches and Challenges for Biosensors for Acute and Chronic Heart Failure.

Sariye Irem Kaya, Ahmet Cetinkaya, Goksu Ozcelikay, Seyda Nur Samanci, Sibel A Ozkan

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2023. 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
3.5field-weighted citation impact, top 7% 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, 14 citations in OpenAlex.

  1. Article
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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.

Sariye Irem KayaDepartment of Analytical Chemistry, Gulhane Faculty of Pharmacy, University of Health Sciences, Ankara 06018, Turkey.
Ahmet CetinkayaDepartment of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara 06560, Turkey.
Goksu OzcelikayDepartment of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara 06560, Turkey.
Seyda Nur SamanciDepartment of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara 06560, Turkey.ORCID 0000-0003-3573-8147
Sibel A OzkanDepartment of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara 06560, Turkey.ORCID 0000-0001-7494-3077
Ankara University · TRSağlık Bilimleri Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a cardiovascular disease defined by several symptoms that occur when the heart cannot supply the blood needed by the tissues. HF, which affects approximately 64 million people worldwide and whose incidence and prevalence are increasing, has an important place in terms of public health and healthcare costs. Therefore, developing and enhancing diagnostic and prognostic sensors is an urgent need. Using various biomarkers for this purpose is a significant breakthrough. It is possible to classify the biomarkers used in HF: associated with myocardial and vascular stretch (B-type natriuretic peptide (BNP), N-terminal proBNP and troponin), related to neurohormonal pathways (aldosterone and plasma renin activity), and associated with myocardial fibrosis and hypertrophy (soluble suppression of tumorigenicity 2 and galactin 3). There is an increasing demand for the design of fast, portable, and low-cost biosensing devices for the biomarkers related to HF. Biosensors play a significant role in early diagnosis as an alternative to time-consuming and expensive laboratory analysis. In this review, the most influential and novel biosensor applications for acute and chronic HF will be discussed in detail. These studies will be evaluated in terms of advantages, disadvantages, sensitivity, applicability, user-friendliness, etc.

Indexed as

Biosensing TechniquesCardiovascular DiseasesHeart FailureBiomarkersChronic DiseaseHumansPeptide FragmentsPrognosisBiomarkersPeptide Fragmentsbiomarkersbiosensorsdetectiondiagnosisheart failure

Identifiers

PMID36832048
PMCPMC9954479
OpenAlexW4321230973

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.