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Record W4292487857 · doi:10.1177/10711007221114139

Tranexamic Acid Utilization in Foot and Ankle Surgery: A Meta-analysis

2022· review· en· W4292487857 on OpenAlexaboutno aff
Motasem Salameh, Ahmed Khalil Attia, Suhaib El Khatib, Ashraf T. Hantouly, Raymond Y. Hsu, Brad D. Blankenhorn

Bibliographic record

VenueFoot & Ankle International · 2022
Typereview
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTranexamic acidAnkleFoot (prosody)SurgeryFoot and ankle surgeryCritical appraisalBlood lossMeta-analysisInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Tranexamic acid (TXA) has been widely used in various orthopaedic subspecialities to decrease blood loss, transfusions, and wound complications. However, the role of TXA in foot and ankle surgery is not clearly delineated. This meta-analysis aims to report the efficacy and safety of TXA in relation to foot and ankle surgical procedures. METHODS: Database searches were conducted for eligible studies from data inception through January 2022. Clinical studies on the use of TXA in foot and ankle procedures reporting the desired outcomes were included. Outcomes were estimated blood loss, change in hemoglobin, and overall complications. Risk of bias was assessed using the Newcastle-Ottawa quality assessment scale and the Joanna Briggs Institute (JBI) critical appraisal tool. RESULTS: Nine studies met the inclusion criteria. A total of 752 foot and ankle procedures were included, in which 511 (67.95%) procedures received TXA whereas 241 (32.05%) served as controls and did not receive TXA. The pooled data of change in hemoglobin and overall complications showed no difference between the TXA and control group. Estimated blood loss was significantly lower in the patients who received TXA. CONCLUSION: In conclusion, TXA use was associated with lower estimated blood loss in foot and ankle surgeries without increased risk of thromboembolic events, wound complications, or changes in hemoglobin. LEVEL OF EVIDENCE: Level IV, meta-analysis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.256
GPT teacher head0.383
Teacher spread0.127 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations12
Published2022
Admission routes1
Has abstractyes

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