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Record W4403260459 · doi:10.3995/jstroke.11268

A case of cerebral embolism caused by takotsubo cardiomyopathy induced by bronchial asthma attack treatment

2024· article· en· W4403260459 on OpenAlexaboutno aff
Hirofumi Takuma, Rena Koyama, Takumi Uehara, Tatsuya Shingaki

Bibliographic record

VenueNosotchu · 2024
Typearticle
Languageen
FieldMedicine
TopicTakotsubo Cardiomyopathy and Associated Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsthmaCerebral embolismCardiomyopathyCardiologyAsthma attackInternal medicineEmbolismHeart failure

Abstract

fetched live from OpenAlex

症例は67歳男性.気管支喘息発作の治療目的で入院した.β2刺激薬吸入剤の頻回使用が原因と考えられる,たこつぼ型心筋症を併発していた.抗凝固薬の投与は行っておらず,入院5日目に病室内にて意識障害で発見され脳梗塞と診断された.診断時,最終未発症確認時より3.5時間以上経過しており,左MCA閉塞とDWIで広範囲の虚血変化を認めたため(DWI-Alberta Stroke Program Early CT Score 4点),rt-PA療法は行わず,機械的血栓回収療法を行った.リハビリテーションを行い失語は残存するが,mRS 2で自宅退院した.たこつぼ型心筋症が疑われた場合,経過中に脳梗塞を合併する可能性を念頭に置くことは重要である.

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)0.002
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.280
Teacher spread0.258 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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