Evidence map›Paper›PMID 38427126›Full record

ArticleHerz2024

New categorization of chest pain: noncardiac is in, atypical is out!

Stephan Settelmeier, Sebastian Steven, Felix Post, Ingo Ahrens, Evangelos Giannitsis, Frank Breuckmann, Arbeitsgruppe Akuter Thoraxschmerz (AG 44) der Deutschen Gesellschaft für Kardiologie – Herz- und Kreislaufforschung e. V. (DGK)

Abstract read
PubMed Publisher
In one paragraph

Article in Herz, 2024. 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
–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

0 citing papers in PubMed.

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

7 authors.

Stephan SettelmeierDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, Hufelandstr. 55, 45147, Essen, Germany.
Sebastian StevenMed. Klinik III-Department for Cardiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Felix PostInternal Medicine, General and interventional Cardiology, Katholisches Klinikum Koblenz-Montabaur, Rudolf-Virchow-Str. 7-9, 56073, Koblenz, Germany.
Ingo AhrensKrankenhaus der Augustinerinnen, Department for Cardiology and Intensive Care Medicine, Jakobstr. 27-31, 50678, Köln, Germany.
Evangelos GiannitsisDepartment for Internal Medicine III, Cardiology, Vascular Medicine and Pneumology, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Frank BreuckmannDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, Hufelandstr. 55, 45147, Essen, Germany. frank.breuckmann@k-kl.de.
Arbeitsgruppe Akuter Thoraxschmerz (AG 44) der Deutschen Gesellschaft für Kardiologie – Herz- und Kreislaufforschung e. V. (DGK)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chest pain poses a diagnostic challenge in the emergency department and requires a thorough clinical assessment. The traditional distinction between "atypical" and "typical" chest pain carries the risk of not addressing nonischemic clinical pictures. The newly conceived subdivision into cardiac, possibly cardiac, and (probably) noncardiac causes of the presenting symptom complex addresses a much more interdisciplinary approach to a symptom-oriented diagnostic algorithm. The diagnostic structures of the chest pain units in Germany do not currently reflect this. An adaptation should therefore be considered.

Indexed as

Chest PainDiagnosis, DifferentialGermanyHumansChest pain unitDiagnostic algorithmEmergency treatmentSymptom assessmentThoracic pain

Identifiers

PMID38427126

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.