Evidence map›Paper›PMID 27294089›Full record

ReviewAnnals of translational medicine2016

Diagnostic algorithms for acute coronary syndrome-is one better than another?

Gianfranco Cervellin, Camilla Mattiuzzi, Chiara Bovo, Giuseppe Lippi

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 43 citations in OpenAlex.

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  11. Multicenter observational study on the reliability of the HEART score.Clinical and experimental emergency medicine · 2019
    Article
  12. Article
  13. Intermittent Typical Angina: Remember Wellens' Syndrome.Advanced journal of emergency medicine · 2019
    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.

Gianfranco Cervellin1 Emergency Department, Academic Hospital of Parma, Parma, Italy ; 2 Medical Direction, General Hospital of Trento, Trento, Italy ; 3 Medical Direction, University Hospital of Verona, Verona, Italy ; 4 Section of Clinical Biochemistry, University of Verona, Verona, Italy.
Camilla Mattiuzzi1 Emergency Department, Academic Hospital of Parma, Parma, Italy ; 2 Medical Direction, General Hospital of Trento, Trento, Italy ; 3 Medical Direction, University Hospital of Verona, Verona, Italy ; 4 Section of Clinical Biochemistry, University of Verona, Verona, Italy.
Chiara Bovo1 Emergency Department, Academic Hospital of Parma, Parma, Italy ; 2 Medical Direction, General Hospital of Trento, Trento, Italy ; 3 Medical Direction, University Hospital of Verona, Verona, Italy ; 4 Section of Clinical Biochemistry, University of Verona, Verona, Italy.
Giuseppe Lippi1 Emergency Department, Academic Hospital of Parma, Parma, Italy ; 2 Medical Direction, General Hospital of Trento, Trento, Italy ; 3 Medical Direction, University Hospital of Verona, Verona, Italy ; 4 Section of Clinical Biochemistry, University of Verona, Verona, Italy.
University of Verona · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rather short history of diagnostic algorithms for investigating patients with a suspected acute coronary syndrome (ACS) has led to a constantly evolving and unquestionably chaotic scenario. Although the recent development and introduction of high-sensitivity immunoassays for the measurement of cardiac troponins has represented a paradigm shift for dispersing part of the overwhelming fog, many uncertainties remain, especially concerning the appropriate timing for serial testing and the interpretation of cardiac troponin variations over time. Therefore, the aim of this article is to review the available evidence about diagnostic algorithms for ACS which incorporate the measurement of cardiac troponins, and generate a final algorithm attempting to integrate and harmonize the many clinical and laboratory findings emerged from the recent scientific literature.

Indexed as

Acute coronary syndrome (ACS)algorithmdiagnosismyocardial infarction (MI)troponin

Identifiers

PMID27294089
PMCPMC4885886
OpenAlexW2397095769

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.