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Record W2558292062

RESULTS OF OCTAPLEX FOR REVERSAL OF WARFARIN ANTICOAGULATION IN HIP FRACTURE PATIENTS

2016· article· en· W2558292062 on OpenAlexaboutno aff
Rowena Ng, Meer‐Taher Shabani‐Rad, Charles MacAdams

Bibliographic record

VenueJournal of Bone and Joint Surgery-british Volume · 2016
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWarfarinHip fractureAtrial fibrillationInclusion and exclusion criteriaSurgeryMedical recordOsteoporosisInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Hip fractures are a common cause of morbidity and mortality in the elderly, with approximately 30,000 hip fractures a year in Canada. Many hip fracture patients are prone to heart failure and present anticoagulated with Warfarin for medical comorbidities including atrial fibrillation or previous thromboembolic disease. Reversal of warfarin anticoagulation to an INR A database review of all patients who received Octaplex was performed. Medical records of all hip fracture patients in Calgary who received Octaplex between December 2009 and February 2015 were reviewed. After application of inclusion and exclusion criteria, 33 patients were identified. A timeline of International Normalised Ratio (INR), Octaplex administration, and hip fracture surgery was recorded. Mortality and complications were assessed at 30 days. A single dose of Octaplex corrected the INR to Octaplex is effective at rapidly reversing warfarin anticoagulation and reducing time to surgery, potentially reducing the morbidity and mortality of hip fractures. Administration of both Octaplex and FFP were associated with higher early mortality in this case series. Further research is required to assess the safety of Octaplex, vitamin K, and FFP for reversal of warfarin anticoagulation in this population.

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)0.001
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 score0.048
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.047
GPT teacher head0.282
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bone and Joint Surgery-british VolumeSame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207