MétaCan
Menu
Back to cohort
Record W2906722012 · doi:10.1001/jamafacial.2018.1737

Role of Tranexamic Acid in Reducing Intraoperative Blood Loss and Postoperative Edema and Ecchymosis in Primary Elective Rhinoplasty

2019· review· en· W2906722012 on OpenAlexaff
Connor McGuire, Sean Nurmsoo, Osama A. Samargandi, Michael Bezuhly

Bibliographic record

VenueJAMA Facial Plastic Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsEcchymosisTranexamic acidMedicineRhinoplastySurgeryEdemaRandomized controlled trialAnesthesiaBlood loss

Abstract

fetched live from OpenAlex

IMPORTANCE: Blood loss from surgical procedures is a major issue worldwide as the demand for blood products is increasing. Tranexamic acid is an antifibrinolytic agent commonly used to reduce intraoperative blood loss. OBJECTIVE: To systematically examine the role of tranexamic acid in reducing intraoperative blood loss and postoperative edema and ecchymosis among patients undergoing primary elective rhinoplasty. DATA SOURCES: A systematic review and meta-analysis was undertaken in an academic medical setting using Medline, Embase, and Google Scholar from inception to June 30, 2018. All references of included articles were screened for potential inclusion. The search was mapped to Medical Subject Headings, and the following terms were used to identify potential articles: reconstruction or rhinoplasty and tranexamic acid or anti-fibrinolysis or antifibrinolysis and bleeding or ecchymosis or bruising or edema or complications. STUDY SELECTION: The population of interest consisted of adult patients undergoing primary elective rhinoplasty. The intervention was the use of tranexamic acid. The control group was composed of patients receiving a placebo. Primary outcomes were intraoperative blood loss and postoperative edema and ecchymosis. In vitro or animal studies were excluded, and only English-language articles were included. DATA EXTRACTION AND SYNTHESIS: The PRISMA guidelines were followed, and articles were assessed using the Cochrane Collaboration's tool for assessing risk of bias and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines. Random-effects meta-analysis was performed to determine the overall effect size. MAIN OUTCOMES AND MEASURES: The primary outcomes were intraoperative blood loss and postoperative edema and ecchymosis. RESULTS: Five studies (comprising 332 patients) were included in the qualitative analysis, all of which were randomized clinical trials published within the past 5 years. The mean (SD) patient age was 27 (7) years (age range, 16-42 years), while the mean (SD) sample size was 66 (19) (range, 50-96). Meta-analysis of 4 studies (271 patients) indicated that tranexamic acid treatment resulted in a mean reduction in intraoperative blood loss of -41.6 mL (95% CI, -69.8 to -13.4 mL) compared with controls (P = .004). Three studies indicated that postoperative edema and ecchymosis were reduced with tranexamic acid treatment compared with controls; however, there was no significant difference compared with corticosteroid use. Four studies were considered of high methodological quality, with a low risk of bias. The overall quality of evidence was high. CONCLUSIONS AND RELEVANCE: Tranexamic acid has the ability to significantly reduce intraoperative blood loss and postoperative edema and ecchymosis among patients undergoing primary elective rhinoplasty. LEVEL OF EVIDENCE: 4.

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)0.008
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.010
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.260
Teacher spread0.240 · 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 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

Citations72
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJAMA Facial Plastic SurgerySame topicBlood transfusion and managementFrench-language works237,207