ArticleAesthetic plastic surgery2022
Trends in Breast Augmentation Research: A Bibliometric Analysis.
Article in Aesthetic plastic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Biologic Response With and Without Acellular Dermal Matrix in Breast Reconstruction.Plastic and reconstructive surgery. Global open · 2025Article
- Review
- Publication Trends in Aesthetic Breast Surgery: A Bibliometric Analysis.Aesthetic surgery journal. Open forum · 2024Review
- Nagor Impleo Round Silicone Gel Breast Implants: Early Outcome Analysis after 340 Primary Breast Augmentations.Journal of clinical medicine · 2023Article
- Trends of mitochondrial changes in AD: a bibliometric study.Frontiers in aging neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast augmentation is one of the most demanded procedures in plastic surgery and one of the most commonly performed by plastic surgeons. However, a bibliometric analysis of breast augmentation has not been published in recent years. The current study aimed to use a bibliometric analysis to conduct a qualitative and quantitative evaluation of breast augmentation research and provide the research trends and hotspots in this field.
methodsPublications on breast augmentation research were extracted from the Web of Science core collection database. VOSviewer 1.6.18 was used to assess co-authorship, co-occurrence, citation of countries, institutions, authors, and journals, as well as hotspot keywords.
resultsOn February 8, 2022, 4637 records of breast augmentation research published from 1985 to 2021 were collected. The bulk of the retrieved studies were original research articles (n = 2235, 48.20%). A total of 1053 (22.71%) papers were open access. The annual publication output increased annually. The USA was the driving force in this field and had a strong academic reputation. The top-contributing institution was the University of Texas MD Anderson Cancer Center (2.37%, with 110 publications). Plastic and reconstructive surgery (998 publications, 21.52%) published the most research in this field and was also the most frequently co-cited journal (22,351 citations, total link strength (TLS): 409,301). Clemens MW (68 publications, 1.47%) was the most prolific author, and Spear SL (1456 citations, TLS: 27,231) was the most frequently co-cited author. The research hotspots included the following four aspects: safety and effectiveness of breast implants, implant-based breast reconstruction, breast cancer incidence after breast implantation, and breast implant-associated anaplastic large-cell lymphoma (BIA-ALCL). The research trends were BIA-ALCL, implant-based breast reconstruction, BREAST-Q, acellular dermal matrix, capsular contracture, and autologous fat grafting.
conclusionThe present study provides a panoramic view of breast augmentation research in plastic and reconstructive surgery. This novel comprehensive bibliometric analysis can help researchers and nonresearchers alike to rapidly identify the potential partners, research hotspots, and research trends within their areas of interest. LEVEL OF EVIDENCE III: 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
Identifiers
What OpenQuestion holds
Registered trials
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.