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Relationship between reperfusion and intracranial hemorrhage after thrombectomy

2019· article· en· W2981439029 on OpenAlex
Shashvat M. Desai, Daniel A. Tonetti, A. Morrison, Bradley A. Gross, Brian T. Jankowitz, Tudor G. Jovin, Ashutosh P. Jadhav

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntracerebral hemorrhageIntracranial HemorrhagesStroke (engine)Subarachnoid hemorrhageCardiologySurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Symptomatic intracerebral hemorrhage (sICH) is a devastating complication after endovascular thrombectomy. Prior reports have demonstrated that thrombolysis in cerebral infarction (TICI) ≥2 b reperfusion is protective against sICH. We aimed to further examine the relationship between reperfusion grade and sICH, to elucidate whether a difference between TICI 2b and 3 exists, and to determine whether this relationship holds true for patients undergoing delayed thrombectomy (6-24 hours). METHODS: We performed a single-center retrospective review of prospectively-recorded data for patients undergoing endovascular thrombectomy for large vessel occlusion between January 2015 and February 2018. Multivariable logistic regression analyses were performed to identify predictors of parenchymal hematoma (PH) and sICH (NINDS-National Institute of Neurological Disorders and Stroke, SITS-MOST-Safe Implementation of Thrombolysis in Stroke Monitoring Study, ECASS III-European-Australian Cooperative Acute Stroke Study III criteria) and to identify the role of reperfusion grade. This analysis was repeated for delayed thrombectomy patients. RESULTS: 528 patients were included; mean age was 71.5% and 43% were male. Median NIHSS (National Institutes of Health Stroke Scale) and time last seen well (TLSW) to treatment were 17 and 4.8 hours, respectively. Successful recanalization was achieved in 94%. On multivariable analyses, ASPECTS (Alberta Stroke Programme Early CT Score) was a predictor of PH (OR 0.7, 95% CI 0.57 to 0.87; p=0.002) for patients achieving any reperfusion grade. For patients achieving successful reperfusion, lower ASPECTS was a predictor of PH (OR 0.73, 95% CI 0.58 to 0.91; p=0.005) and of sICH (ECASS III) (OR 0.67, 95% CI 0.45 to 0.98; p=0.04); in addition, TICI 2b as compared with TICI 3 was a predictor of PH (OR 2.1, 95% CI 1 to 4.4; p=0.04) and of sICH (NINDS) (OR 7.5, 95% CI 1 to 57; p=0.045). TLSW to treatment was not an independent predictor of PH or sICH. CONCLUSION: Higher baseline ASPECTS and higher degree of reperfusion following endovascular thrombectomy is associated with reduced likelihood of PH and sICH.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.030
GPT teacher head0.279
Teacher spread0.249 · 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