Evidence map›Paper›PMID 37878823›Full record

ArticleQJM : monthly journal of the Association of Physicians2024

Comprehensive validation of early diagnostic algorithms for myocardial infarction in the emergency department.

M Tada, H Matano, H Azuma, K-I Kano, S Maeda, S Fujino, N Yamada, H Uzui, H Tada, K Maeno and 22 more

Open access · hybridAbstract read
In one paragraph

Article in QJM : monthly journal of the Association of Physicians, 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
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

32 authors at 10 institutions in 2 countries.

M TadaDepartment of Emergency Medicine, Nagoya City University East Medical Center, Aichi, Japan.
H MatanoDepartment of Emergency Medicine, Fukui-Ken Saiseikai Hospital, Fukui, Japan.
H AzumaDepartment of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan.
K-I KanoDepartment of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan.
S MaedaDepartment of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan.
S FujinoDepartment of Cardiology, Vascular Center, Fukui Prefectural Hospital, Fukui, Japan.
N YamadaDepartment of Emergency Medicine, University of Fukui, Fukui, Japan.
H UzuiDepartment of Cardiovascular Medicine, University of Fukui, Fukui, Japan.
H TadaDepartment of Cardiovascular Medicine, University of Fukui, Fukui, Japan.
K MaenoDepartment of Cardiology, Fukui-Ken Saiseikai Hospital, Fukui, Japan.
Y ShimadaDepartment of Emergency Medicine, Japanese Red Cross Fukui Hospital, Fukui, Japan.
H YoshidaDepartment of Cardiology, Japanese Red Cross Fukui Hospital, Fukui, Japan.
M AndoDepartment of Emergency and Critical Care Medicine, Kariya Toyota General Hospital, Aichi, Japan.
T IchihashiDepartment of Cardiology, Nagoya City University East Medical Center, Aichi, Japan.
Y MurakamiDepartment of Cardiology, Nagoya City University East Medical Center, Aichi, Japan.
Y HommaDepartment of Emergency Medicine, Chiba Kaihin Municipal Hospital, Chiba, Japan.
H FunakoshiDepartment of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Chiba, Japan.
K ObunaiDepartment of Cardiology, Tokyo Bay Urayasu Ichikawa Medical Center, Chiba, Japan.ORCID 0000-0003-4615-6732
A MatsushimaDepartment of Emergency Medicine and Critical Care, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan.
N OhteDepartment of Cardiology, Nagoya City University Graduate School of Medicine, Aichi, Japan.ORCID 0000-0003-1934-6864
A TakeuchiDepartment of Emergency Medicine, Konan Kosei Hospital, Aichi, Japan.
Y TakadaDepartment of Cardiology, Konan Kosei Hospital, Aichi, Japan.
S MatsukuboDepartment of Emergency Medicine and General Internal Medicine, Social Medical Corporation Kyouryoukai Ichinomiya Nishi Hospital, Aichi, Japan.
H AndoDepartment of Emergency Medicine and General Internal Medicine, Social Medical Corporation Kyouryoukai Ichinomiya Nishi Hospital, Aichi, Japan.
Y FurukawaDepartment of Cardiology, Social Medical Corporation Kyouryoukai Ichinomiya Nishi Hospital, Aichi, Japan.
A KuriyamaDepartment of Primary Care and Emergency Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
T FujisawaBritish Heart Foundation Center for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
A R ChapmanBritish Heart Foundation Center for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
N L MillsBritish Heart Foundation Center for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-0533-7991
H HayashiDepartment of Emergency Medicine, University of Fukui, Fukui, Japan.
N WatanabeDepartment of Psychiatry, Soseikai General Hospital, Kyoto, Japan.
T A FurukawaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Fukui Prefectural Hospital · JPNagoya City University · JPUniversity of Fukui · JPBritish Heart Foundation · GBKyoto University · JPFukui-ken Saiseikai Hospital · JPFukui Red Cross Hospital · JPKonan Kosei Hospital · JPChiba Kaihin Municipal Hospital · JPKariya Toyota General Hospital · JP

Funding

British Heart Foundation CH/F/21/90010British Heart Foundation RG/20/10/34966
6 · The paper itself

Abstract

objectiveTo comprehensively evaluate diagnostic algorithms for myocardial infarction using a high-sensitivity cardiac troponin I (hs-cTnI) assay. PATIENTS AND

methodsWe prospectively enrolled patients with suspected myocardial infarction without ST-segment elevation from nine emergency departments in Japan. The diagnostic algorithms evaluated: (i) based on hs-cTnI alone, such as the European Society of Cardiology (ESC) 0/1-h or 0/2-h and High-STEACS pathways; or (ii) used medical history and physical findings, such as the ADAPT, EDACS, HEART, and GRACE pathways. We evaluated the negative predictive value (NPV), sensitivity as safety measures, and proportion of patients classified as low or high-risk as an efficiency measure for a primary outcome of type 1 myocardial infarction or cardiac death within 30 days.

resultsWe included 437 patients, and the hs-cTnI was collected at 0 and 1 hours in 407 patients and at 0 and 2 hours in 394. The primary outcome occurred in 8.1% (33/407) and 6.9% (27/394) of patients, respectively. All the algorithms classified low-risk patients without missing those with the primary outcome, except for the GRACE pathway. The hs-cTnI-based algorithms classified more patients as low-risk: the ESC 0/1-h 45.7%; the ESC 0/2-h 50.5%; the High-STEACS pathway 68.5%, than those using history and physical findings (15-30%). The High-STEACS pathway ruled out more patients (20.5%) by hs-cTnI measurement at 0 hours than the ESC 0/1-h and 0/2-h algorithms (7.4%).

conclusionsThe hs-cTnI algorithms, especially the High-STEACS pathway, had excellent safety performance for the early diagnosis of myocardial infarction and offered the greatest improvement in efficiency.

Indexed as

Myocardial InfarctionAlgorithmsBiomarkersEmergency Service, HospitalHumansPredictive Value of TestsProspective StudiesTroponin ITroponin TBiomarkersTroponin ITroponin T

Identifiers

PMID37878823
PMCPMC10972704
OpenAlexW4387934136

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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.