Evidence map›Paper›PMID 33923925›Full record

ArticleJournal of clinical medicine2021

Clinical History and Detectable Troponin Concentrations below the 99th Percentile for Risk Stratification of Patients with Chest Pain and First Normal Troponin.

Agustín Fernández-Cisnal, Ernesto Valero, Sergio García-Blas, Vicente Pernias, Adela Pozo, Arturo Carratalá, Jessika González, José Noceda, Gema Miñana, Julio Núñez and 1 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Agustín Fernández-CisnalCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.
Ernesto ValeroCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.
Sergio García-BlasCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.ORCID 0000-0002-1998-3735
Vicente PerniasCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.
Adela PozoCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.
Arturo CarrataláClinical Biochemistry Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), 46010 València, Spain.ORCID 0000-0003-4513-7214
Jessika GonzálezCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.ORCID 0000-0003-3726-4918
José NocedaEmergency Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), 46010 València, Spain.
Gema MiñanaCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.ORCID 0000-0001-8777-2588
Julio NúñezCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.ORCID 0000-0003-1672-7119
Juan SanchisCardiology Department, University Clinic Hospital of València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), 46010 València, Spain.ORCID 0000-0003-0797-8709

Funding

Instituto Salud Carlos III CIBERCV 16/11/00420
6 · The paper itself

Abstract

Decision-making is challenging in patients with chest pain and normal high-sensitivity cardiac troponin T (hs-cTnT; <99th percentile; <14 ng/L) at hospital arrival. Most of these patients might be discharged early. We investigated clinical data and hs-cTnT concentrations for risk stratification. This is a retrospective study including 4476 consecutive patients presenting to the emergency department with chest pain and first normal hs-cTnT. The primary endpoint was one-year death or acute myocardial infarction, and the secondary endpoint added urgent revascularization. The number of primary and secondary endpoints was 173 (3.9%) and 252 (5.6%). Mean hs-cTnT concentrations were 6.9 ± 2.5 ng/L. Undetectable (<5 ng/L) hs-cTnT (

Indexed as

acute coronary syndromechest painclinical evaluationischemic heart diseasetroponin

Identifiers

PMID33923925
PMCPMC8073372

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.