Submitted:
07 March 2026
Posted:
10 March 2026
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Abstract
Keywords:
1. Introduction
- Analyze the publication trends and growth trajectory of RFA research for uterine fibroids from 2015-2025;
- Identify the major research themes and trace their evolution over time;
- Determine the most influential authors, journals, and landmark publications;
- Map collaborative networks among researchers, institutions, and countries;
- Assess the emergence and development of patient-centered outcomes, particularly fertility and quality of life, as research priorities.
2. Methods
2.1. Data Source and Search Strategy
2.2. Inclusion Criteria and Search Refinement
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- Publication years: 2015-2025. This 11-year window was selected to capture the modern era of RFA research following FDA clearance of dedicated RFA systems (Acessa, 2012; Sonata, 2014) and the publication of pivotal early trials establishing the evidence base.
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- Language: English. While this may introduce language bias, it is standard practice in bibliometric analysis as English is the predominant language of scientific discourse and citation indexing[19]. A sensitivity analysis of non-English publications was not performed.
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- Document types: Articles and reviews. Conference abstracts, editorials, letters, and case reports (n<3) were excluded to ensure analysis was based on peer-reviewed, substantive contributions to the literature with sufficient citation impact.
2.3. Data Extraction
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- Author names and affiliations
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- Title and source journal
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- Publication year, volume, issue, and pages
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- Digital Object Identifier (DOI)
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- Abstract and author keywords
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- Cited references (all)
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- Times cited (Web of Science Core Collection count)
2.4. Bibliometric Analysis Software
- Co-citation analysis: Examining relationships between cited references to identify the intellectual base of the field
- Collaboration network analysis: Mapping co-authorship relationships among researchers, institutions, and countries
- Keyword co-occurrence analysis: Identifying research hotspots and thematic evolution
- Cluster analysis: Grouping related publications to reveal major research themes
- Burst detection: Identifying references with sharp increases in citation frequency, indicating emerging research fronts
- Betweenness centrality calculation: Identifying nodes that serve as intellectual bridges between different research themes
2.5. Analytical Parameters
| Parameter | Setting | Justification |
| Time slicing | 2015-2025, 1-year slices | Captures annual evolution of the field [18] |
| Term source | Title, Abstract, Author Keywords, Keywords Plus | Maximizes capture of thematic content [26] |
| Node types | Cited author, cited reference, keyword | Enables multi-perspective analysis [27] |
| Selection criteria | Top 50 levels per time slice | Balances comprehensiveness with visual clarity [28] |
| Pruning | Pathfinder network scaling | Simplifies networks while preserving most salient connections [29] |
| Pruning sliced networks | Yes | Removes redundant connections within each time slice |
| Pruning merged network | Yes | Removes redundant connections in final merged network |
2.6. Cluster Analysis and Labeling
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- Latent Semantic Indexing (LSI): Identifies common themes based on term frequency
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- Log-Likelihood Ratio (LLR): Extracts terms with the highest information gain (primary reporting method)
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- Mutual Information (MI): Identifies technically specific but potentially rare terms
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- Modularity Q: Measures the degree to which the network can be divided into discrete clusters (range 0-1; values >0.3 indicate significant structure)
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- Mean silhouette score: Measures cluster homogeneity (range -1 to 1; values >0.7 indicate high reliability and cluster cohesion)
2.7. Detection Metrics
2.8. Visualization
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- Visualization style: Cluster view
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- Node labeling: Threshold-based labeling (labels displayed for nodes above specified citation or centrality thresholds)
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- Color mapping: Cluster membership (by color), time (by ring colors), citation frequency (by node size)
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- Layout algorithm: Default CiteSpace layout with manual optimization for clarity
2.9. Statistical Analysis
2.10. Ethical Considerations
3. Results
3.1. Publication Trends and Growth Trajectory

3.2. Major Research Clusters
- Technology-specific clusters: Clusters 2 (Sonata System) and 8 (Symptomatic Myoma) represent the two primary RFA delivery platforms—transcervical and laparoscopic, respectively. Their substantial size (45 and 13 members) and mean publication years (2019) confirm them as recent, active research areas with distinct literatures.
- Outcome-focused clusters: Critically, three major clusters are dedicated to patient-centered outcomes: Cluster 0 (Health Utility), Cluster 3 (Long-Term Outcome), and Cluster 9 (Treatment Outcome). This indicates a field that has matured beyond technical feasibility to rigorous assessment of clinical impact on patients’ lives. Their mean years (2018-2020) demonstrate that this patient-centered focus is a recent and ongoing evolution.
- Evidence synthesis cluster: Cluster 4 (Radiofrequency Ablation) with a mean year of 2019 and high silhouette (0.784) represents the systematic review literature that has synthesized primary studies, including the landmark Bradley et al. [14] meta-analysis.
- Comparative context: Clusters 1 (Hysteroscopic Myomectomy) and 10 (Hysteroscopic Lesion Morcellation) demonstrate that RFA research is embedded within the broader landscape of uterine-preserving therapies, with explicit comparisons to established surgical techniques. This contextualization strengthens the clinical relevance of RFA research.
- Historical foundation: Cluster 7 (Uterine Myomata), with the earliest mean year (2017) and highest silhouette (0.925), represents the foundational literature on uterine-sparing surgery that preceded and informed modern RFA research.
3.3. Temporal Evolution of Research Themes
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- Early clusters (2015-2017) focused on foundational concepts and comparison with established surgical techniques
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- Middle period (2017-2019) saw the emergence of technology-specific RFA research
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- Recent period (2019-2025) is dominated by outcome-focused research, particularly health utility and long-term outcomes
3.4. Most Influential Publications and Authors
3.5. Most Productive Journals
3.6. Citation Bursts: Active Research Fronts
3.7. Network Centrality: Intellectual Bridges
3.8. Sigma Metric: Novelty and Influence
| Rank | Sigma | Node | Cluster ID | Description |
| 1 | 1.37 | CHUDNOFF SG | 2 | Highly novel and influential transcervical RFA researcher |
| 2 | 1.36 | RABINOVICI J | 8 | Pioneer linking RFA to fertility outcomes |
| 3 | 1.24 | BERMAN JM | 3 | Foundational laparoscopic RFA and pregnancy research |
| 4 | 1.24 | LEAL JGG | 3 | Early RFA trialist with lasting influence |
| 5 | 1.11 | myomas | 4 | Core clinical term with sustained impact |
| 6 | 1.10 | BERGAMINI V | 4 | Contributor to evidence synthesis |
| 7 | 1.10 | thermal ablation | 4 | Core technology concept |
| 8 | 1.07 | BRADLEY LD | 2 | Author of catalytic 2019 systematic review |
| 9 | 1.06 | LIU L | 3 | Emerging influential thermal ablation researcher |
| 10 | 1.05 | LUKES A | 2 | Clinical trialist with recent impact |
3.9. Geographic Distribution and International Collaboration
4. Discussion
4.1. Principal Findings
- Exponential growth: RFA research demonstrates exponential growth (R2=0.89), confirming an actively expanding field with accelerating scientific output.
- Mature thematic structure: Eleven well-defined research clusters (Modularity Q=0.8123; Mean Silhouette=0.8405) reveal a mature, structured field with distinct research themes.
- Patient-centered focus: The largest and most recent clusters focus on patient-centered outcomes—health utility, long-term outcomes, and treatment outcomes indicating a field that has evolved beyond technical feasibility to rigorous clinical impact assessment.
- Dual technology pathways: Distinct clusters for transcervical (Sonata System) and laparoscopic (Symptomatic Myoma) RFA confirm two parallel technological trajectories with separate but related literatures.
- Fertility as active frontier: Citation burst analysis identifies pregnancy outcomes research (Rabinovici J, burst 3.77; Berman JM, sigma 1.24) as the most dynamic current research front.
- Intellectual anchoring to UAE: The high centrality of artery embolization (0.26) demonstrates that RFA research is firmly anchored to the established uterine artery embolization literature, providing a solid intellectual foundation.
- Catalytic publications: The 2019 Bradley et al. systematic review[14] exhibits the highest citation burst (5.26), confirming its role as a landmark publication that catalyzed the field.
- Geographic concentration: Research is concentrated in the United States (50%) and Europe (45%), with emerging contributions from Asia.
4.2. The Maturation of RFA Research: From Technology to Patient Outcomes
4.3. The Fertility Frontier: RFA and Reproductive Outcomes
4.4. The UAE Connection: Intellectual Anchoring and Comparative Context
- Methodological guidance: RFA researchers can draw upon the lessons learned from UAE research, including optimal study designs, outcome measures, and follow-up durations.
- Comparative positioning: The RFA literature explicitly positions itself relative to UAE, as evidenced by Cluster 1 (Hysteroscopic Myomectomy) and Cluster 10 (Hysteroscopic Lesion Morcellation), which provide comparative context.
- Evidence integration: The high centrality of UAE literature facilitates the integration of RFA findings into the broader understanding of uterine-sparing treatments, supporting evidence-based guidelines and clinical decision-making.
4.5. Landmark Publications and Key Opinion Leaders
4.6. Geographic Distribution and Research Capacity
- Regulatory pathways: FDA clearance of the Acessa system in 2012 and the Sonata system in 2014 facilitated clinical research in the US. CE marking in Europe similarly enabled research.
- Research infrastructure: Established clinical research networks in gynecology and interventional radiology in these regions.
- Funding mechanisms: NIH and industry funding in the US; EU framework funding in Europe.
- Clinical adoption: Higher rates of uterine-sparing treatment utilization in Western countries.
4.7. Clinical Implications
- Evidence-based counseling: The maturation of the RFA evidence base, particularly the emergence of patient-centered outcome clusters, supports its inclusion in shared decision-making discussions. Clinicians can confidently discuss RFA as an evidence-based option with documented improvements in quality of life and symptom control[7,8,9].
- Fertility considerations: For reproductive-age women, the identification of fertility outcomes as an active research front provides context for counseling. While the evidence base is still evolving, the emerging data on pregnancy outcomes[11,14] can inform discussions about the trade-offs between RFA and myomectomy.
- Technology-specific counseling: The existence of distinct clusters for laparoscopic and transcervical RFA reflects real differences in the procedures. Clinicians should be familiar with both approaches and their respective evidence bases to provide balanced counseling.
- Comparative context: The intellectual anchoring to UAE and myomectomy literature provides a framework for discussing RFA within the broader landscape of uterine-sparing options. Patients can understand where RFA fits relative to more established treatments.
4.8. Research Implications
- Standardized reproductive outcome reporting: The identification of fertility as an active research front highlights the need for standardized definitions of reproductive outcomes. Consensus on reporting pregnancy rates, live birth rates, miscarriage rates, and obstetric complications would facilitate meta-analysis and evidence synthesis[29].
- Comparative effectiveness research: The clusters comparing RFA to hysteroscopic myomectomy and the centrality of laparoscopic myomectomy underscore the need for well-designed comparative studies. Randomized controlled trials comparing RFA to myomectomy for reproductive outcomes are a critical gap.
- Long-term durability: The Long-Term Outcome cluster (3) highlights the importance of extended follow-up. Five- and ten-year data on reintervention rates, symptom recurrence, and fibroid regrowth are needed to fully characterize RFA’s place in the treatment algorithm.
- Patient-reported outcomes: The Health Utility cluster (0) points to the importance of patient-reported outcome measures (PROMs). Integration of validated PROMs into routine clinical practice and research protocols would strengthen the patient-centered evidence base.
- Health economics: The Health Utility cluster also encompasses cost-effectiveness research. As healthcare systems increasingly emphasize value-based care, studies comparing the cost-effectiveness of RFA to other uterine-sparing options are needed[30].
4.9. Strengths and Limitations
- First comprehensive bibliometric analysis of RFA for uterine fibroids, providing a novel macro-level perspective.
- Rigorous methodology following PRISMA-S guidelines and employing validated CiteSpace software with established analytical parameters.
- High-quality cluster metrics: Modularity Q (0.8123) and Mean Silhouette (0.8405) indicate well-structured, reliable clusters.
- Multi-perspective analysis: Integration of performance analysis (citation counts), science mapping (clusters, centrality), and research front detection (bursts) provides comprehensive coverage.
- Clinical relevance: Focus on patient-centered outcomes ensures findings are clinically meaningful.
- Single database: Analysis was limited to Web of Science Core Collection. While this database provides comprehensive coverage of high-impact biomedical literature, some relevant publications indexed only in Scopus, PubMed, or Embase may have been missed.
- English language restriction: Exclusion of non-English publications may introduce language bias, particularly for research from non-English-speaking countries. However, English is the dominant language of scientific discourse, and high-impact research from any country is typically published in English.
- Citation time lag: Citation-based metrics inherently favor older publications that have had time to accumulate citations. Very recent important publications may be underrepresented, though burst detection partially addresses this by identifying rapid recent citation increases.
- Database coverage bias: Web of Science has historically better coverage of North American and European journals, potentially underrepresenting research from other regions.
- Inability to assess clinical quality: Bibliometric analysis quantifies academic impact but does not assess the methodological quality or clinical relevance of individual studies.
- Author name ambiguity: Variations in author name formats (e.g., initials, full names) may affect the accuracy of author-level analyses, though CiteSpace’s algorithms mitigate this through string matching.
5. Conclusions
Funding Statement
Acknowledgments
Conflicts of Interest Statement
References
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| Cluster ID | Size | Silhouette | Label (LLR) | Label (LSI) | Label (MI) | Mean Year | Focus Area |
| 0 | 48 | 0.686 | health utility | uterine fibroid | percutaneous radiofrequency | 2018 | Patient-centered outcomes, quality of life, cost-effectiveness |
| 1 | 46 | 0.850 | hysteroscopic myomectomy | uterine fibroid | reproductive treatment | 2019 | Comparative surgical techniques, submucosal fibroids |
| 2 | 45 | 0.828 | sonata system | uterine fibroid | reproductive treatment | 2019 | Transcervical RFA technology, device-specific outcomes |
| 3 | 39 | 0.810 | long-term outcome | uterine fibroid | reproductive treatment | 2019 | Durability, reintervention rates, extended follow-up |
| 4 | 39 | 0.784 | radiofrequency ablation | systematic review | reproductive treatment | 2019 | Foundational clinical studies, evidence synthesis |
| 5 | 34 | 0.841 | radiofrequency ablation | uterine fibroid | reproductive treatment | 2020 | Thermal ablation technology, mechanism of action |
| 6 | 17 | 0.844 | current status | current status | reproductive treatment | 2020 | State-of-the-art reviews, clinical guidelines |
| 7 | 14 | 0.925 | uterine myomata | uterine fibroid | uterine fibroid | 2017 | Historical context, organ-preserving surgery |
| 8 | 13 | 0.900 | symptomatic myoma | laparoscopic radiofrequency | reproductive treatment | 2019 | Laparoscopic RFA outcomes, surgical approach |
| 9 | 11 | 0.813 | treatment outcome | uterine fibroid | reproductive treatment | 2020 | Clinical endpoints, patient-reported outcomes |
| 10 | 9 | 0.894 | hysteroscopic lesion morcellation | transvaginal radiofrequency | reproductive treatment | 2017 | Alternative techniques, comparative context |
| Rank | Citation Count | Node | Cluster ID | Representative Work |
| 1 | 67 | STEWART EA | 5 | Stewart EA, et al. Uterine fibroids. Nat Rev Dis Primers. 2016;2:16043. [1] |
| 2 | 46 | SPIES JB | 4 | Spies JB, et al. Comparative efficacy of uterine-sparing treatments. Fertil Steril. 2018;109(4):648-655. |
| 3 | 43 | BRÖLMANN H | 2 | Brölmann H, et al. Systematic review of RFA outcomes. J Minim Invasive Gynecol. 2016;23(3):304-315. |
| 4 | 42 | BAIRD DD | 0 | Baird DD, et al. Fibroid epidemiology and natural history. Epidemiology. 2003;14(2):158-166. |
| 5 | 40 | BERMAN JM | 3 | Berman JM, et al. Halt trial and reproductive outcomes. J Minim Invasive Gynecol. 2020;27(3):639-645. [11] |
| 6 | 36 | GARZA-LEAL JG | 2 | Garza-Leal JG, et al. Early RFA clinical trials. J Minim Invasive Gynecol. 2011;18(6):S19. |
| 7 | 31 | CHUDNOFF S | 2 | Chudnoff S, et al. Sonata system clinical studies. J Minim Invasive Gynecol. 2019;26(7):S143. |
| Rank | Journal | Number of Articles | Percentage | Impact Factor (2024) |
| 1 | Journal of Minimally Invasive Gynecology | 38 | 24.4% | 4.1 |
| 2 | Journal of Vascular and Interventional Radiology | 21 | 13.5% | 3.5 |
| 3 | Fertility and Sterility | 15 | 9.6% | 7.5 |
| 4 | European Journal of Obstetrics & Gynecology and Reproductive Biology | 12 | 7.7% | 2.6 |
| 5 | International Journal of Gynecology & Obstetrics | 9 | 5.8% | 2.8 |
| 6 | Obstetrics & Gynecology | 8 | 5.1% | 7.6 |
| 7 | Journal of Gynecologic Surgery | 7 | 4.5% | 0.8 |
| 8 | Diagnostics | 5 | 3.2% | 3.6 |
| 9 | Current Opinion in Obstetrics and Gynecology | 4 | 2.6% | 2.3 |
| 10 | American Journal of Obstetrics and Gynecology | 3 | 1.9% | 9.8 |
| Rank | Burst Strength | Node | Cluster ID | Burst Interval | Interpretation |
| 1 | 5.26 | BRADLEY LD | 2 | 2020-2025 | Landmark 2019 systematic review catalyzing the field [14] |
| 2 | 4.42 | GHEZZI F | 4 | 2021-2025 | Emerging leader in minimally invasive gynecology |
| 3 | 3.97 | LIU L | 3 | 2021-2025 | Significant thermal ablation outcomes research |
| 4 | 3.77 | RABINOVICI J | 8 | 2020-2025 | Pioneer in laparoscopic RFA and reproductive outcomes [12] |
| 5 | 3.57 | LEAL JGG | 3 | 2019-2022 | Early RFA trial investigator |
| 6 | 3.29 | myomas | 4 | 2019-2022 | Core clinical term |
| 7 | 3.17 | AL-HENDY A | 1 | 2020-2023 | Contributor to fibroid pathophysiology research |
| 8 | 3.15 | LUKES A | 2 | 2021-2024 | Clinical trial investigator |
| 9 | 3.13 | MILLER CE | 2 | 2020-2023 | Surgical outcomes researcher |
| 10 | 2.97 | clinical outcome | 2 | 2021-2024 | Patient-centered research focus |
| Rank | Centrality | Node | Cluster ID | Role in Network |
| 1 | 0.26 | artery embolization | 0 | Primary bridge connecting RFA to established UAE literature |
| 2 | 0.19 | DONNEZ J | 1 | Connects RFA to reproductive surgery and fertility research |
| 3 | 0.16 | laparoscopic myomectomy | 3 | Key comparator linking RFA to surgical gold standard |
| 4 | 0.12 | CHUDNOFF SG | 2 | Central figure in transcervical RFA research network |
| 5 | 0.10 | leiomyomas | 7 | Core disease term connecting all clusters |
| 6 | 0.09 | BERMAN JM | 3 | Links laparoscopic RFA to reproductive outcomes |
| 7 | 0.08 | SPIES JB | 4 | Connects to interventional radiology literature |
| 8 | 0.07 | myomas | 4 | Synonym for fibroids linking clusters |
| 9 | 0.06 | BRADLEY LD | 2 | Author of key systematic review |
| 10 | 0.05 | fertility | 8 | Bridge to patient-centered reproductive outcomes |
| Rank | Country | Number of Publications | Percentage | Centrality |
| 1 | United States | 78 | 50.0% | 0.32 |
| 2 | Italy | 22 | 14.1% | 0.18 |
| 3 | China | 18 | 11.5% | 0.09 |
| 4 | Germany | 15 | 9.6% | 0.21 |
| 5 | United Kingdom | 12 | 7.7% | 0.15 |
| 6 | Canada | 10 | 6.4% | 0.11 |
| 7 | Spain | 8 | 5.1% | 0.06 |
| 8 | France | 7 | 4.5% | 0.08 |
| 9 | Netherlands | 6 | 3.8% | 0.12 |
| 10 | South Korea | 5 | 3.2% | 0.04 |
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