Evidence map›Paper›PMID 33561174›Full record

ArticlePloS one2021

5th generation vs 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications: A cohort study.

Vedant Gupta, Marc Paranzino, Talal Alnabelsi, Karam Ayoub, Joshua Eason, Andin Mullis, John R Kotter, Andrew Parks, Levi May, Sethabhisha Nerusu and 4 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2021. 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 36% 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, 3 citations in OpenAlex.

  1. Predicting adverse cardiovascular events in emergency department patients with bupropion overdose.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Article
  2. Article
  3. 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

14 authors at 1 institution in 1 country.

Vedant GuptaGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0002-0739-153X
Marc ParanzinoGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0002-6980-3923
Talal AlnabelsiGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.
Karam AyoubGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.
Joshua EasonGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.
Andin MullisGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.
John R KotterGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.
Andrew ParksDepartment of Internal Medicine, University of Kentucky, Lexington, Kentucky, United States of America.
Levi MayDepartment of Internal Medicine, University of Kentucky, Lexington, Kentucky, United States of America.
Sethabhisha NerusuPerformance Analytics Center of Excellence, University of Kentucky, Lexington, Kentucky, United States of America.
Chen DaiPerformance Analytics Center of Excellence, University of Kentucky, Lexington, Kentucky, United States of America.
Daniel ClelandPerformance Analytics Center of Excellence, University of Kentucky, Lexington, Kentucky, United States of America.
Steve Wah LeungGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0003-2832-2258
Vincent Leigh SorrellGill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, United States of America.
University of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe frequency and implications of an elevated cardiac troponin (4th or 5th generation TnT) in patients outside of the emergency department or presenting with non-cardiac conditions is unclear.

methodsConsecutive patients aged 18 years or older admitted for a primary non-cardiac condition who had the 4th generation TnT drawn had the 5th generation TnT run on the residual blood sample. Primary and secondary outcomes were all-cause mortality (ACM) and major adverse cardiovascular events (MACE) respectively at 1 year.

results918 patients were included (mean age 59.8 years, 55% male) in the cohort. 69% had elevated 5th generation TnT while 46% had elevated 4th generation TnT. 5th generation TnT was more sensitive and less specific than 4th generation TnT in predicting both ACM and MACE. The sensitivities for the 5th generation TnT assay were 85% for ACM and 90% for MACE rates, compared to 65% and 70% respectively for the 4th generation assay. 5th generation TnT positive patients that were missed by 4th generation TnT had a higher risk of ACM (27.5%) than patients with both assays negative (27.5% vs 11.1%, p<0.001), but lower than patients who had both assay positive (42.1%). MACE rates were not better stratified using the 5th generation TnT assay.

conclusionsIn patients admitted for a non-cardiac condition, 5th generation TnT is more sensitive although less specific in predicting MACE and ACM. 5th generation TnT identifies an intermediate risk group for ACM previously missed with the 4th generation assay.

Indexed as

Predictive Value of TestsCardiovascular DiseasesElectrocardiographyFemaleHospitalizationHumansImmunoassayMaleMiddle AgedMortalityTroponin TTroponin T

Identifiers

PMID33561174
PMCPMC7872231
OpenAlexW3126941539

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.