Evidence map›Paper›PMID 37662475›Full record

ArticlePlastic and reconstructive surgery. Global open2023

Use of Tranexamic Acid in Aesthetic Surgery: A Retrospective Comparative Study of Outcomes and Complications.

Omar Fouda Neel, Raghad AlKhashan, Emad Abdulrahman AlFadhel, Reem Abdulmonem Al-Terkawi, Hatan Mortada

Open access · goldAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Omar Fouda NeelFrom Division of Plastic Surgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia.
Raghad AlKhashanCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Emad Abdulrahman AlFadhelCollege of Medicine, Qassim University, Buraydah, Saudi Arabia.
Reem Abdulmonem Al-TerkawiPrivate Practice, Riyadh, Saudi Arabia.
Hatan MortadaDivision of Plastic Surgery, Department of Surgery, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
King Saud University · SAQassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bleeding is a potential complication of aesthetic surgery. Surgeons have adhered to the principle of minimizing blood loss. Tranexamic acid (TXA) is an antifibrinolytic medication capable of reducing bleeding. This study aimed to investigate TXA and its effect on complications and overall outcomes in aesthetic surgery patients. Methods: This retrospective chart review of patients undergoing various aesthetic procedures between 2019 and 2022 was conducted in Riyadh, Saudi Arabia. Preoperative and postoperative hemoglobin levels, blood transfusions, and complications were the primary outcomes. Furthermore, the predictors of giving TXA were studied. Results: In total, 435 patients were included in the study. TXA was administered to 181 patients (41.6%). Significantly higher proportions of patients who received TXA underwent trunk aesthetic surgery ( Conclusions: Although our data show improvement in patient outcomes in multiple aspects, the heterogeneity of our cohort makes us unable to draw definite conclusions to recommend the use of TXA in aesthetic surgery. Thus, a randomized controlled trial is necessary to support the findings of this study.

Identifiers

PMID37662475
PMCPMC10473321
OpenAlexW4386378369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.