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Record W2981924706 · doi:10.1093/eurheartj/ehz748.0147

2389Survival after myocardial infarction with non-obstructive coronary arteries (MINOCA) - A comprehensive systematic review and meta-analysis

2019· article· en· W2981924706 on OpenAlexaff
Sivabaskari Pasupathy, Bertil Lindahl, Paul E. Litwin, Rosanna Tavella, Mathew Williams, Tracy Air, Raffaele Marfella, Kevin R. Bainey, Karam Alzuhairi, Harmony R. Reynolds, Nina Johnston, Andrew Kerr, John F. Beltrame

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineMyocardial infarctionInternal medicineMeta-analysisCardiologyOdds ratioConfidence intervalCoronary artery diseaseCohortCoronary arteriesArtery

Abstract

fetched live from OpenAlex

Abstract Introduction Myocardial Infarction (MI) with Non-Obstructive Coronary Arteries (MINOCA) is now a recognised MI subtype. A 2013 systematic review of MINOCA literature indicated that MINOCA prognosis is favourable compared to those with MI and obstructive coronary artery disease (MICAD), but healthy controls were not included. With the growth of recent literature and evaluation of MINOCA prognosis, we performed an in-depth analysis of MINOCA prognosis, in relation to 1-year all-cause mortality and 1-year re-infarction compared with MICAD patients and a healthy cohort. Methods An unrestricted literature search was conducted on the terms “MI”, “non-obstructive”, “angiography” and “prognosis” using PubMed and Embase. Publications with non-consecutive recruitment, less than 100 MINOCA patients or selection bias (i.e. restricted age group) were excluded. MINOCA & MICAD were defined as the presence of an MI (as per the universal criteria) in the absence & presence of CAD (i.e. epicardial vessel with a stenosis ≥50% on angiography), respectively. The healthy cohort was defined as those with no history of cardiovascular diseases. Unpublished data were accumulated via the MINOCA Global Collaboration. Data from the included studies were pooled and analysed using DerSimonian-Laird random-effects meta-analysis. Heterogeneity was assessed using Cochran's Q and I2 statistics. Odds ratios (ORs), mean differences and 95% confidence intervals (CI) were calculated for proportion and continuous data respectively. Results The search identified 2889 unique publications, of which 27 included prognosis data. Of the 563660 consecutive MI patients, the overall pooled prevalence of MINOCA wasat 8.7% (95% CI: 7.5%-9.9%). The 1-year mortality and 1-year re-infarction data by diagnosis are presented in the table. Prognosis comparison by diagnosis MINOCA (n=41658) MINOCA vs MICAD MINOCA vs Healthy % (95% CI) MINOCA (n=16642) MICAD (n=174461) Mean difference or OR 95% CI MINOCA (n=8465) Healthy (n=33074) Mean difference or OR 95% CI Years or % (95% CI) Years or % (95% CI) Years or % (95% CI) Years or % (95% CI) Age 61 (60–62) 61 (59–63) 64 (63–66) 3.2 (2.2–4.2) 62 (57–66) 60 (58–63) 1.6 (−5–8.6) Female 51 (48–53) 51 (48–55) 28 (26–30) 2.8 (2.5–3.1) 56 (48–64) 38 (24–52) 2.2 (1.3–3.7) 1 year mortality 3.4 (2.9–4) 3.4 (2.9–3.9) 5.5 (4.7–6.2) 0.6 (0.5–0.7) 2.6 (1.2–4) 0.7 (0.5–1) 3.7 (1.7–8.2) 1 year Re-MI 2.7 (2.1–3.3) 2.8 (1.8–3.7) 5.7 (3.9–7.5) 0.5 (0.4–0.7) 3.5 (0–7) 0.3 (0–0.6) 14.1 (9.5–21.2) Conclusions This pooled analysis shows that MINOCA accounts for almost one in ten MI presentations. The risks of re-infarction and death among MINOCA patients are much higher than in healthy controls, but lower than for MICAD patients. Efforts are needed to improve understanding of the optimal management and secondary prevention strategies in this unique and heterogeneous population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.259
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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