Evidence map›Paper›PMID 41249530›Full record

SynthesisAesthetic plastic surgery2026

Hyaluronidase Protocol in Management of Hyaluronic Acid Filler-Related Vascular Complications: A Systematic Review and Meta-Analysis.

Abdullah M Alhusain, Malak Alsaif, Ali M Alkhathami, Abdulaziz M Alghamdi, Jullanar Alkhunein, Muhannad Alqirnas, Razan O Alsubhi, Seham Alsalamah, Majed M Alanazi, Abdulaziz Fathi and 3 more

Abstract readSystematic ReviewMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

13 authors.

Abdullah M AlhusainDivision of Plastic Surgery, Department of Surgery, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia. alhusainab@mngha.med.sa.
Malak AlsaifDivision of Plastic Surgery, Department of Surgery, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia.
Ali M AlkhathamiDivision of Plastic Surgery, Department of Surgery, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia.
Abdulaziz M AlghamdiPlastic and Reconstructive Surgery Department, King Saud Medical City, Riyadh, Saudi Arabia.
Jullanar AlkhuneinKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Muhannad AlqirnasPlastic and Reconstructive Surgery Division, King Salman Hospital, Riyadh, Saudi Arabia.
Razan O AlsubhiCollege of Medicine, Taibah University, Medina, Saudi Arabia.
Seham AlsalamahKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Majed M AlanaziDepartment of Dermatology, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia.
Abdulaziz FathiDivision of Plastic Surgery, Department of Surgery, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia.
Abdulrahman AlghamdiCollege of Medicine, Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Fay AlowidCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Sami AleissaDivision of Plastic Surgery, Department of Surgery, Security Forces Hospital, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyaluronic acid (HA) fillers are widely used in aesthetic procedures but can lead to serious vascular complications, including skin necrosis and visual impairment. The timely administration of hyaluronidase (HYAL) is critical for mitigating these adverse effects. This systematic review and meta-analysis aim to evaluate the efficacy and propose a management protocol of HYAL in managing HA-related vascular complications.

methodsA comprehensive literature search was conducted across MEDLINE, PubMed, Cochrane, and Web of Science for studies published from 2000 to February 2025. Eligible studies included randomized controlled trials, cohort studies, and case series involving HYAL treatment for HA-related complications. Data extraction focused on treatment protocols, patient demographics, outcomes, and resolution rates.

resultsTwenty-one studies involving 231 patients were included. The mean age was 30.1 years, with a predominance of female patients (90.9%). Skin necrosis occurred in 60.6% of cases and visual impairment in 52.8%. The overall resolution rates for skin necrosis and visual impairment were 78.4% and 45.2%, respectively. Early intervention (within 6 hours) significantly improved outcomes, with higher doses of HYAL correlating with better resolution rates in skin necrosis.

conclusionThis study underscores the effectiveness of hyaluronidase in treating HA-related vascular complications, particularly when administered promptly. The findings support the establishment of standardized treatment protocols to enhance patient safety and outcomes in aesthetic practices. Future research should focus on optimizing dosing strategies and further elucidating the role of adjunctive therapies. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Cosmetic TechniquesDermal FillersHyaluronic AcidHyaluronoglucosaminidaseAdultFemaleHumansNecrosisSkinSkin AgingTreatment OutcomeDermal FillersHyaluronic AcidHyaluronoglucosaminidaseBlindinessHyalaseHyalorinodaseHyaloronic acid related vascular complicationsSkin necrosis

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Registered trials

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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.