Evidence map›Paper›PMID 22384528›Full record

ArticleBiochemia medica2012

Non-commutability of results of highly sensitive troponin I and T immunoassays.

Giuseppe Lippi, Gianfranco Cervellin, Rosalia Aloe, Martina Montagnana, Gian Luca Salvagno, Gian Cesare Guidi

Open access · diamondAbstract read
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Article in Biochemia medica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Giuseppe LippiU.O. di Diagnostica Ematochimica, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy. glippi@ao.pr.it
Gianfranco Cervellin
Rosalia Aloe
Martina Montagnana
Gian Luca Salvagno
Gian Cesare Guidi
Ospedale di Parma · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe measurement of cardiospecific troponins is pivotal in the diagnostic and prognostic approach of patients with suspected acute myocardial infarction (AMI). However, no information is available on the commutability of results between the novel highly-sensitive (HS) troponin T (TnT) and I (TnI) immunoassays. MATERIALS AND

methodsThe study population consisted in 47 consecutive patients presenting at the emergency department (ED) of the Academic Hospital of Parma with suspected AMI. TnI was measured with the novel prototype Beckman Coulter HS-AccuTnI immunoassay on Access 2, whereas TnT was measured with the Roche HS-TnT immunoassay on Cobas.

resultsEight out of the 47 patients (17%) were finally diagnosed as having an AMI. The overall correlation between TnT and TnI for total patient group was acceptable (r = 0.944; P < 0.01). Nevertheless, when the analysis of data was carried out in separate groups according to the final diagnosis of AMI, two different equation results were obtained, i.e., HS-TnT = HS-AccuTnI x 0.349 + 20 (r = 0.823; P < 0.01) in non-AMI patients, and HS-TnT = HS-AccuTnI x 0.134 + 67 (r = 0.972; P < 0.01) in those with AMI.

conclusionsThis study suggests the existence of two biological relationships between Tnl and TnT in plasma, depending on the source of release from the myocardium. Moreover, the non-commutability of data between HS-TnT and HS-AccuTnI jeopardizes the clinical decision making, makes it impossible to calculate the delta or reference change value using the two biomarkers and to finally establish a reliable kinetics of troponin release from the injured myocardium.

Indexed as

ImmunoassayBiomarkersHumansMyocardial InfarctionPrognosisReference StandardsReproducibility of ResultsTroponin ITroponin TBiomarkersTroponin ITroponin T

Identifiers

PMID22384528
PMCPMC4062322
OpenAlexW1977473897

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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.