Evidence map›Paper›PMID 37930743›Full record

ReviewEuropean heart journal. Quality of care & clinical outcomes2024

Diagnostic accuracy, clinical characteristics, and prognostic differences of patients with acute myocarditis according to inclusion criteria.

Roman Roy, Antonio Cannata, Mohammad Al-Agil, Emma Ferone, Antonio Jordan, Brian To-Dang, Matthew Sadler, Aamir Shamsi, Mohammad Albarjas, Susan Piper and 5 more

Abstract readReview
In one paragraph

Review in European heart journal. Quality of care & clinical outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Giant Cell Myocarditis: Is It Time to Redeploy Cytokine Inhibitors?Mediterranean journal of rheumatology · 2026
    Article
  3. Article
  4. Myocarditis-Associated Cardiogenic Shock: A Nationwide Multicenter Study.Journal of the American Heart Association · 2025
    Article
  5. 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

15 authors.

Roman RoyKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.ORCID 0000-0002-9438-8581
Antonio CannataKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.ORCID 0000-0001-7609-6297
Mohammad Al-AgilKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.
Emma FeroneKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.
Antonio JordanKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.
Brian To-DangKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.
Matthew SadlerKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.
Aamir ShamsiKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.
Mohammad AlbarjasPrincess Royal University Hospital, Orpington, London BR6 8ND, UK.
Susan PiperKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.ORCID 0000-0002-3650-2091
Mauro GiaccaKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.ORCID 0000-0003-2927-7225
Ajay M ShahKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.
Theresa McDonaghKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.ORCID 0000-0003-1305-9602
Daniel I BromageKing's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, London SE5 9NU, UK.ORCID 0000-0002-4243-5964
Paul A ScottKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.

Funding

British Heart Foundation FS/CRTF/21/24175European Research Council 787971Medical Research Council MR/X001881/1
6 · The paper itself

Abstract

introductionThe diagnosis of acute myocarditis (AM) is complex due to its heterogeneity and typically is defined by either Electronic Healthcare Records (EHRs) or advanced imaging and endomyocardial biopsy, but there is no consensus. We aimed to investigate the diagnostic accuracy of these approaches for AM.

methodsData on ICD 10th Revision(ICD-10) codes corresponding to AM were collected from two hospitals and compared to cardiac magnetic resonance (CMR)-confirmed or clinically suspected (CS)-AM cases with respect to diagnostic accuracy, clinical characteristics, and all-cause mortality. Next, we performed a review of published AM studies according to inclusion criteria.

resultsWe identified 291 unique admissions with ICD-10 codes corresponding to AM in the first three diagnostic positions. The positive predictive value of ICD-10 codes for CMR-confirmed or CS-AM was 36%, and patients with CMR-confirmed or CS-AM had a lower all-cause mortality than those with a refuted diagnosis (P = 0.019). Using an unstructured approach, patients with CMR-confirmed and CS-AM had similar demographics, comorbidity profiles and survival over a median follow-up of 52 months (P = 0.72). Our review of the literature confirmed our findings. Outcomes for patients included in studies using CMR-confirmed criteria were favourable compared to studies with endomyocardial biopsy-confirmed AM cases.

conclusionICD-10 codes have poor accuracy in identification of AM cases and should be used with caution in clinical research. There are important differences in management and outcomes of patients according to the selection criteria used to diagnose AM. Potential selection biases must be considered when interpreting AM cohorts and requires standardization of inclusion criteria for AM studies.

Indexed as

Magnetic Resonance Imaging, CineMyocarditisAcute DiseaseAdultBiopsyFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesCardiac magnetic resonance imagingDiagnosisEndomyocardial biopsyICD codesMyocarditis

Identifiers

PMID37930743
PMCPMC11187717

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Registered trials

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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.