MétaCan
Menu
Back to cohort
Record W2998058825

【投稿論文:Original Article】 院内発症急性脳主幹動脈閉塞例の検討

2017· article· ja· W2998058825 on OpenAlexaboutno aff
伊藤 裕平

Bibliographic record

Venue脳神経外科速報 · 2017
Typearticle
Languageja
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)Cerebral infarctionNeurosurgerySurgeryOcclusionInternal medicineIschemia
DOInot available

Abstract

fetched live from OpenAlex

Background: Recently, the prognosis of ischemic stroke, especially with major vessel occlusion cases, has been improving because of the spread of mechanical thrombectomy. However, there are some reports that the hospital-onset stroke has a poor prognosis as compared with the outpatient onset stroke. Materials and Methods: We studied six patients who developed cerebral infarction with main artery occlusion during hospitalization in the Department of Neurosurgery, Fukushima Redcross Hospital, between July 2014 and September 2016. Result: Four patients were male and two were female.Mean age was 75. 8±12. Reasons for admission were cardiac diseases in 3 patients (50%), rheumatoid arthritis in 1 patient, gastric cancer in 1 patient and cholecystitis in 1 patient. Median National Institute of Health Stroke Scale (NIHSS) score was 17, and median DWI-Alberta Stroke Programme Early CT Score (DWI ASPECTS) score was 8. Three patients received treatment with tPA, and five patients received mechanical thrombectomy. At discharge, 4 patients achieved mRS of 0 to 2, and 1 patient achieved mRS of 6. Mean time of Door to Picture time (D2P) was 20 min, Picture to Puncture time (P2P) was 79 min, Puncture to Reperfusion time (P2R) was 35 min. Conclusion: The prognosis of the cases studied this time was not necessarily bad, but the course of treatment should be improved. Further education on treatment for in-hospital onset stroke is necessary.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.022

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 head0.070
GPT teacher head0.430
Teacher spread0.361 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venue脳神経外科速報Same topicMedical Research and TreatmentsFrench-language works237,207