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Record W4281778523 · doi:10.14740/jmc3939

ST-Elevation Acute Myocardial Infarction in a Young Man

2022· article· en· W4281778523 on OpenAlexvenueno aff
Daisuke Usuda, Risa Tanaka, Makoto Suzuki, Hayabusa Takano, Yuta Hotchi, Shintaro Shimozawa, Shungo Tokunaga, Ippei Osugi, Risa Katou, Sakurako Ito, Kentaro Mishima, Akihiko Kondo, Keiko Mizuno, Hiroki Takami, Takayuki Komatsu, Jiro Oba, Tomohisa Nomura, Manabu Sugita

Bibliographic record

VenueJournal of Medical Cases · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyInternal medicineMyocardial infarctionST segmentST elevationChest painAcute coronary syndromeStenosisAngioplastyIncidence (geometry)Family historyArteryBalloon

Abstract

fetched live from OpenAlex

Acute myocardial infarction (AMI) in young patients is very rare, but the incidence has increased over years past at younger ages, likely due to the presence of multiple risk factors. We present the first known case of ST-elevation AMI (STEMI) in a young man. A 22-year-old Japanese man was transferred to our hospital due to suddenly occurred anterior chest pain. An electrocardiogram revealed ST elevation in anteroseptal leads together with reciprocal ST depression in inferior leads. An emergency coronary angiogram was performed, revealing a 100% occlusion at segment 6 of the coronary artery and we established a diagnosis of STEMI. The lesion was expanded to 0% stenosis through plain old balloon angioplasty, after which a third-generation drug-eluting stent was installed there. Afterwards, the patient was discharged on day 17. In this case, a combination of mild six risk factors plus family history of hypertension might lead to this atypical event.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.357
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Cases→Same topicAcute Myocardial Infarction Research→French-language works237,207→