Evidence map›Paper›PMID 40593115›Full record

ArticleAesthetic plastic surgery2025

Decades of Scientific Data and Global Media Reporting on Complications in Non-surgical Aesthetic Treatments for a Transparent Safety Profile: Kissing Snow White Awake.

Eqram Rahman, Parinitha Rao, Karim Sayed, Patricia E Garcia, Sotirios Ioannidis, Nanze Yu, Shabnam Sadeghi-Esfahlani, Alexander D Nassif, William Richard Webb, Zakia Rahman and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Aesthetic plastic surgery, 2025. 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
–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

4 citing papers in PubMed.

  1. Med Spas: Patient Safety and Accreditation.Aesthetic surgery journal · 2026
    Article
  2. Review
  3. Review
  4. 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

12 authors.

Eqram RahmanResearch and Innovation Hub, Innovation Aesthetics, London, WC2H 9JQ, UK. Eqram.rahman@gmail.com.ORCID 0000-0002-8443-8338
Parinitha RaoThe Skin Address, Aesthetic Dermatology Practice, Bangalore, India.
Karim SayedNomi Oslo, Oslo, Norway.
Patricia E GarciaPrivate Practice in Dermatology, Puerto Vallarta, Mexico.
Sotirios IoannidisPlastic Surgery Clinic, 546 21, Thessaloniki, Greece.
Nanze YuDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Shabnam Sadeghi-EsfahlaniMedical Technology Research Centre (MTRC), Anglia Ruskin University, Chelmsford, Essex, UK.
Alexander D NassifDepartamento de Pesquisa, Núcleo Nassif-Ensino Médico e Pesquisa, Belo Horizonte, 30411-148, Brazil.
William Richard WebbResearch and Innovation Hub, Innovation Aesthetics, London, WC2H 9JQ, UK.
Zakia RahmanStanford Dermatology, Stanford University School of Medicine, Redwood City, CA, USA.
Hsien-Li Peter PengP-Skin Professional Clinic, Kaohsiung City, Taiwan.
Greg J GoodmanMonash University Australia, Clayton, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-surgical aesthetic treatments (NSATs) have gained significant traction over the past two decades, prized for their minimally invasive nature, cost-effectiveness, and rapid outcomes. Yet complications associated with these procedures remain underreported, inadequately studied, and inconsistently regulated, compromising patient safety. METHODOLOGY: This mixed-methods study synthesised global data from 457 peer-reviewed studies, 37,250 media articles, 2.28 million social media posts, and regulatory databases, encompassing 231,475 documented complications. Statistical methodologies, including Cox proportional hazards models, Bayesian hierarchical modelling, and geospatial mapping, were employed to evaluate risk trends. Machine learning algorithms forecasted emerging risks, while sensitivity analyses addressed potential data biases.

resultsDermal fillers accounted for 42% of complications, chiefly granulomas, vascular occlusions, and delayed hypersensitivity reactions. Botulinum toxin A contributed 15% of cases, predominantly mild adverse effects such as headache, ptosis, and bruising. Thread lift procedures were marred by frequent extrusion and infection rates. The safest products were identified as Prabotulinumtoxin A, Juvéderm high-viscosity fillers, Profhilo, APTOS Light Lift, microneedling radiofrequency devices, Ultherapy, and EMFACE, each demonstrating > 85% safety probability. Predictive models highlighted escalating risks linked to unregulated therapies (e.g. exosomes), while geospatial analysis revealed stark regional disparities, with Asia reporting 34% of complications-attributed to medical tourism and variable oversight.

conclusionWhile advancements like standardised complication registries and ultrasound-guided techniques herald progress, transformative measures are imperative. These include mandating adverse event reporting, harmonising global regulatory frameworks, and integrating AI-driven surveillance systems. The field must prioritise transparency, rigorous credentialling, and patient-centred ethics to ensure its evolution aligns with uncompromising safety standards. 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 FillersPatient SafetyBayes TheoremFemaleHumansRisk AssessmentDermal FillersBotulinum toxin AChemical peelsComplicationsEnergy-based devicesExosomesFat graftingGeospatial mappingNon-surgical aesthetic treatmentsPatient safetyPlatelet-rich plasmaPredictive modellingSentiment analysisStem cellsThread liftsTissue fillers

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.