Evidence map›Paper›PMID 34329690›Full record

ReviewJournal of immunological methods2021

The role of antibody-based troponin detection in cardiovascular disease: A critical assessment.

Hui Ma, Arabelle Cassedy, Richard O'Kennedy

Open access · greenAbstract readReview
In one paragraph

Review in Journal of immunological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 22 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

3 authors at 2 institutions in 2 countries.

Hui MaSchool of Biotechnology, Dublin City University, Dublin 9 D09 V2O9, Ireland.
Arabelle CassedySchool of Biotechnology, Dublin City University, Dublin 9 D09 V2O9, Ireland.
Richard O'KennedySchool of Biotechnology, Dublin City University, Dublin 9 D09 V2O9, Ireland; Qatar Foundation and Hamad Bin Khalifa University, Research Complex, Education City, Doha, Qatar. Electronic address: rkennedy@qf.org.qa.
Dublin City University · IEQatar Foundation · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease has remained the world's biggest killer for 30 years. To aid in the diagnosis and prognosis of patients suffering cardiovascular-related disease accurate detection methods are essential. For over 20 years, the cardiac-specific troponins, I (cTnI) and T (cTnT), have acted as sensitive and specific biomarkers to assist in the diagnosis of various types of heart diseases. Various cardiovascular complications were commonly detected in patients with COVID-19, where cTn elevation is detectable, which suggested potential prognostic value of cTn in COVID-19-infected patients. Detection of these biomarkers circulating in the bloodstream is generally facilitated by immunoassays employing cTnI- and/or cTnT-specific antibodies. While several anti-troponin assays are commercially available, there are still obstacles to overcome to achieve optimal troponin detection. Such obstacles include the proteolytic degradation of N and C terminals on cTnI, epitope occlusion of troponin binding-sites by the cTnI/cTnT complex, cross reactivity of antibodies with skeletal troponins or assay interference caused by human anti-species antibodies. Therefore, further research into multi-antibody based platforms, multi-epitope targeting and rigorous validation of immunoassays is required to ensure accurate measurements. Moreover, in combination with various technical advances (e.g. microfluidics), antibody-based troponin detection systems can be more sensitive and rapid for incorporation into portable biosensor systems to be used at point-of care.

Indexed as

AntibodiesBiomarkersCardiovascular DiseasesCOVID-19HumansImmunoassayPrognosisSARS-CoV-2Troponin ITroponin TAntibodiesBiomarkersTroponin ITroponin TAntibodyCardiovascular diseaseCOVID-19DetectionTroponin

Identifiers

PMID34329690
PMCPMC8412434
OpenAlexW3186260312

What OpenQuestion holds

Textmetadata
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.