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Record W2973607188 · doi:10.1177/2516608519864761

Case Report of Endovascular Thrombectomy in Severe Acute Ischemic Stroke After Dabigatran Reversal with Idarucizumab

2019· article· en· W2973607188 on OpenAlexaff
Sandeep Nayani, Rajesh Reddy Chenna, Rajesh Reddy Sannareddy, Sandeep Bhapkar, Sonesh Kalra, Nilan T. Jacob

Bibliographic record

VenueJournal of Stroke Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsDabigatranIdarucizumabMedicineAtrial fibrillationVitamin K antagonistStroke (engine)Ischemic strokeWarfarinIntensive care medicineInternal medicineIschemia

Abstract

fetched live from OpenAlex

Non-vitamin K antagonist oral anticoagulants have provided an optimization of management of patients in the prevention of stroke in nonvalvular atrial fibrillation. The lack of an effective reversal agent has remained a challenge to these agents’ widespread utilization. Idarucizumab, a specific reversal agent for dabigatran, is approved in many countries including India. However, there is limited data for its use for Indian patients. We are reporting one of the cases of its use in India where it successfully reversed dabigatran prior to mechanical thrombectomy in acute ischemic stroke.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0050.003
Scholarly communication0.0030.004
Open science0.0030.003
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0040.002

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 head0.019
GPT teacher head0.287
Teacher spread0.268 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

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