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Record W2081537114 · doi:10.5301/hip.2013.10724

Clinical Experience with Tranexamic Acid during Primary Total Hip Arthroplasty

2013· article· en· W2081537114 on OpenAlexaff
Gerard March, Salah Elfatori, Paul E. Beaulé

Bibliographic record

VenueHip International · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineTranexamic acidPerioperativeBlood transfusionTotal hip arthroplastyBody mass indexArthroplastySurgeryBlood lossAnesthesiaBlood managementInternal medicine

Abstract

fetched live from OpenAlex

We examined whether a single 1-gram preoperative dose of tranexamic acid (TXA) was effective in reducing 1) allogeneic blood transfusion, 2) haemoglobin (Hb) decreases, and 3) perioperative blood loss following primary total hip arthroplasty (THA) and resurfacing hip arthroplasty (RHA). One hundred and thirty-two patients (88 THA, 44 RHA; 66M, 66F; mean age = 58.2 years) who received TXA were compared with a control group matched for starting Hb, body mass index (BMI), age and gender. For the THR, transfusion rates were 4.5% and 19.3% for the TXA and control groups, respectively (p = 0.001) with no difference for the resurfacing patients. The mean overall Hb decrease was significantly lower in the TXA treatment groups for both THA and RHA patients (p<0.0001 and p = 0.01 respectively). 1 g of tranexamic acid administered preoperatively significantly reduced the mean decrease in haemoglobin as well as risk of transfusion.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0040.000

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 head0.018
GPT teacher head0.280
Teacher spread0.262 · 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.

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

Citations17
Published2013
Admission routes1
Has abstractyes

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