Evidence map›Paper›PMID 39301305›Full record

ArticlePlastic and reconstructive surgery. Global open2024

A Novel Hybrid Injectable for Soft-tissue Augmentation: Analysis of Data and Practical Experience.

André Braz, Camila Cazerta de Paula Eduardo, Alexander Pierce, Alexandra Grond, Artem Kutikov, Lauren Nakab

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. 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

6 authors.

André BrazFrom Private Practice, Rio de Janeiro, Brazil.
Camila Cazerta de Paula EduardoAllergan Aesthetics, an AbbVie Company, São Paulo, Brazil.
Alexander PierceAllergan Aesthetics, an AbbVie Company, Irvine, Calif.
Alexandra GrondAllergan Aesthetics, an AbbVie Company, Irvine, Calif.
Artem KutikovAllergan Aesthetics, an AbbVie Company, Irvine, Calif.
Lauren NakabAllergan Aesthetics, an AbbVie Company, Irvine, Calif.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: HA/CaHa (HArmonyCa, Allergan Aesthetics, an AbbVie Company) is a hybrid injectable filler developed for aesthetic purposes that contains calcium hydroxyapatite microspheres suspended in a hyaluronic acid gel. This review describes preclinical and clinical data, recommendations for use based on the primary author's clinical experience, and case studies that illustrate implementation of product use recommendations and patient outcomes. Methods: Preclinical data on the lift capacity and tissue integration of the HA/CaHa hybrid injectable and clinical data on its safety, efficacy, and real-world use were extracted from poster presentations, published literature, manufacturer instructions for use, and proprietary data files. Case studies were presented based on clinical experience. Results: The HA component of HA/CaHa provides an immediate and noticeable filling and lifting effect, whereas CaHa microspheres result in neocollagenesis. In preclinical studies, HA/CaHa demonstrated higher lift capacity ( Conclusion: The novel hybrid injectable consisting of HA with incorporated CaHa microspheres in a single marketed product may help achieve aesthetic goals by immediately restoring volume and potentially improving skin architecture and soft-tissue quality over time.

Identifiers

PMID39301305
PMCPMC11412701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.