Evidence map›Paper›PMID 35677736›Full record

ArticleMediators of inflammation2022

Troponin I Cutoff for Non-ST-Segment Elevation Myocardial Infarction in Sepsis.

Meng-Ko Tsai, Chao-Hung Lai, Chia-Lien Hung, Keng-Yi Wu

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 4 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

4 authors at 2 institutions in 1 country.

Meng-Ko TsaiDivision of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-2519-0501
Chao-Hung LaiDivision of Cardiology, Department of Internal Medicine, Taichung Armed Forces General Hospital, Taichung, Taiwan.
Chia-Lien HungDepartment of Medical Education and Research, Taichung Armed Forces General Hospital, Taichung, Taiwan.
Keng-Yi WuDivision of Cardiology, Department of Internal Medicine, Taichung Armed Forces General Hospital, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-1912-8245
Taichung Armed Forces General Hospital · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic value and optimal cutoff level of cardiac troponin I in patients with sepsis have not been studied. In this single hospital retrospective study, we assessed the optimal cutoff value of troponin I for diagnosing non-ST-segment elevation myocardial infarction (NSTEMI) with type 1 myocardial infarction (MI) in patients with sepsis who had undergone a percutaneous coronary intervention from 2009 to 2019. In total, 5,341 patients (excluding patients with chronic kidney disease) were included, of whom 277 had sepsis or septic shock. Of the 123 patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and sepsis, 77 (62.6%) were diagnosed with NSTEMI with type 1 MI. The receiver-operating characteristic curve showed an area under the curve (AUC) of 0.705 for diagnosis of NSTEMI with type 1 MI with a troponin I cutoff of >300 ng/L (sensitivity: 68.4%, specificity: 70.2%, Youden index: 0.386). Multiple linear regression showed no significant predictors of NSTEMI with type 1 MI. Troponin level and the Global Registry of Acute Coronary Events (GRACE) scores were correlated (

Indexed as

Acute Coronary SyndromeMyocardial InfarctionNon-ST Elevated Myocardial InfarctionSepsisST Elevation Myocardial InfarctionElectrocardiographyHumansRetrospective StudiesTroponin ITroponin I

Identifiers

PMID35677736
PMCPMC9168824
OpenAlexW4282001395

What OpenQuestion holds

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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.