Abstract
Introduction
Gastric bypass (GB) is a widely adopted metabolic bariatric surgical procedure associated with substantial weight loss and significant metabolic benefits. In light of the expanding body of literature in this field, the present study aimed to map and analyze the global scientific output of clinical trials on GB, with emphasis on overall publication trends, the most productive countries and authors, the ten most highly cited articles, and the thematic evolution of research topics.
Methods
The search term “gastric bypass” was used to retrieve publications indexed in the Web of Science, PubMed, and Scopus databases from 2001 to 2024. Bibliometric indicators were integrated with normalization strategies based on population size, the number of bariatric procedures performed, and the prevalence of obesity. Data on authorship, countries, citation counts, and keywords were extracted and analyzed. Topic modeling was conducted using Latent Dirichlet Allocation (LDA).
Results
A total of 1,066 studies were included, demonstrating an average annual growth rate of 10.2%, with a marked expansion observed after 2013. The United States led in absolute publication volume, whereas European countries exhibited higher relative productivity after normalization. The ten most highly cited studies accumulated more than 12,000 citations. Topic modeling identified emerging, stable, and declining thematic domains, with dominant topics primarily focused on diabetes mellitus and showing continued growth.
Conclusion
The United States and Europe dominate scientific output, while several regions remain underrepresented. The most prominent and expanding research themes involve diabetes mellitus, whereas cardiovascular aspects, thromboembolism prophylaxis, hepatic steatosis, gut microbiota, and mental health remain comparatively underexplored in the literature.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11695-026-08750-x.
Keywords: Gastric bypass, Clinical trial, Bibliometrics, Bariatric surgery, Latent dirichlet allocation, RYGB
Key Points
The USA leads in absolute output, while Europe leads after normalization.
Topic modeling identified type 2 diabetes as the predominant research focus.
Mental health outcomes remain underexplored in the literature.
Cardiovascular disease and thromboembolism are underrepresented areas.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11695-026-08750-x.
Introduction
Metabolic bariatric surgery (MBS) has historical records dating back to the 10th century, when King Sancho I of León reportedly underwent a rudimentary intervention involving oral suturing as an early attempt at weight control [1]. In contemporary practice, MBS encompasses a spectrum of gastrointestinal surgical procedures aimed at inducing weight loss in individuals with severe obesity and reducing the risk of associated comorbidities, such as type 2 diabetes mellitus (T2DM) and hypertension. These procedures exert their effects through mechanisms including gastric restriction, alterations in intestinal transit, and hormonal modulation that collectively promote weight loss and metabolic improvement [2].
Obesity is recognized as one of the major public health challenges of the 21 st century [3, 4]. Its global prevalence has more than doubled since 1990, and in 2022 it was estimated that one in eight individuals worldwide was living with obesity. In its most severe forms, class III obesity (body mass index ≥ 40 kg/m²) is projected to affect more than 110 million adults by 2030, underscoring a worsening epidemiological scenario [5, 6]. Within this context, MBS has been established as the reference standard treatment for severe obesity, owing to its effectiveness in achieving sustained weight loss and improving obesity-associated metabolic diseases [7].
Against this backdrop, the number of MBS procedures performed worldwide has increased steadily. In 2014, a total of 100,092 procedures were reported, rising to 598,736 in 2023, reflecting the global expansion of this therapeutic approach [8, 9]. Among the techniques currently available in MBS, GB stands out as one of the oldest, most established, and most widely performed procedures [10], particularly due to its metabolic effects and the high percentage of excess weight loss (%EWL). Studies indicate that patients may achieve up to a 57% reduction in total body weight five years after surgery [11].
In parallel with the rising prevalence of obesity and the increasing surgical volume, scientific output in this field has expanded substantially. A search conducted on September 3, 2025, in the Web of Science (WoS), PubMed, and Scopus databases using the term “gastric bypass” retrieved more than 72,000 publications, underscoring both the magnitude of the field and the challenge of comprehensively mapping its scientific evolution. In this context, narrative and bibliometric reviews are frequently utilized by clinicians, researchers, and the general public as primary sources of up-to-date information [12].
Clinical trials are fundamental to the development of health interventions, providing a rigorous framework for evaluating the efficacy and safety of novel treatments. They encompass investigations ranging from early-phase safety assessments to randomized comparisons between therapeutic strategies. By minimizing bias and generating high-quality evidence, clinical trials establish the evidentiary foundation for informed clinical decision-making and the implementation of effective interventions. As such, they represent a central pillar of evidence-based medicine and the advancement of high-quality healthcare [13, 14].
Several bibliometric studies have characterized the global scientific output on bariatric surgery, identifying a marked increase in publications since the early 2000 s, with GB accounting for a substantial proportion of the research volume [15, 16]. In contrast, sleeve gastrectomy (SG), although currently the most frequently performed procedure, exhibits a lower cumulative number of publications, likely reflecting its more recent adoption as a primary surgical technique [17]. While scientific output specifically focused on SG has been analyzed [18, 19], a clear gap persists in bibliometric studies specifically addressing clinical trials on GB.
In this context, the present study aimed to map the scientific output on GB by analyzing clinical trials indexed in the three largest international databases between 2001 and 2024. The analysis encompassed overall scientific output, the most prolific countries and authors, and the ten most highly cited articles. To further explore the conceptual structure of the field, LDA and bibliometric methods were applied to identify the main research topics and thematic trends, thereby providing a comprehensive and systematized overview of this research area.
Materials and Methods
Search Strategy
The present study adopted the framework proposed by Öztürk et al. [20] as a reference for conducting this bibliometric analysis and for guiding the design of studies of this nature.
The search strategy was developed based on terms used in the literature to describe GB procedures and the different types of clinical trials. The search strategy was structured as follows: ((“gastric bypass” OR “roux-en-y gastric bypass” OR “roux en y gastric bypass” OR “RYGB” OR “laparoscopic roux-en-y gastric bypass” OR “LRYGB”) AND (“clinical trial” OR “clinical trials” OR “randomized controlled trial” OR “randomised controlled trial” OR “RCT” OR “interventional study” OR “controlled clinical trial” OR “controlled trial” OR “clinical research” OR “clinical investigation” OR “therapeutic trial” OR “treatment trial”)).
The search was conducted on September 3, 2025, across three international databases. Only documents classified as clinical trials, published in English, and within the period from 2001 to 2024 were included. The complete search strategy is provided in Supplementary Material 1.
Database Selection
Searches were conducted in the WoS, Scopus, and PubMed databases, selected for their extensive coverage of the international scientific literature and their relevance to biomedical research. WoS and Scopus are widely used in bibliometric studies due to their high-quality indexing, multidisciplinary scope, and availability of essential metadata for this type of analysis. PubMed presents certain limitations, such as the absence of comprehensive citation count data; however, this limitation was partially mitigated through access to OpenCitations (OC), an open science initiative [21].
The retrieved records were exported in different formats according to each database: PubMed records were saved in PubMed format, WoS records in BibTeX format, and Scopus records in CSV format. These files were subsequently imported into the Bibliometrix software (version 4.0) [12], in which data integration, consolidation, and duplicate removal were performed after import. Following this step, the consolidated dataset was converted into a spreadsheet in Microsoft Excel (version 2016) for subsequent data organization and analysis.
Inclusion and Exclusion Criteria
Clinical trials conducted in patients undergoing GB, specifically Roux-en-Y gastric bypass (RYGB), performed either as a standalone procedure or in combination with other surgical techniques, were considered eligible for inclusion. For the purposes of this study, clinical trials were defined as prospective studies in which a therapeutic intervention was applied to human participants with the aim of evaluating its effects on health outcomes, in accordance with the World Health Organization (WHO) [22].
Study screening was conducted through the assessment of titles and abstracts by two independent authors, evaluating the degree of alignment of each document with the predefined inclusion criteria. Studies involving adult participants (≥ 18 years) were considered eligible, provided that they investigated outcomes related to the proposed surgical intervention. The analysis period comprised publications from 2001 to 2024, and only studies published in English were included to ensure linguistic homogeneity of the textual corpus used in bibliometric analyses and LDA-based topic modeling.
Studies that did not meet the definition of clinical trials, such as observational studies, reviews, letters to the editor, editorials, study protocols, and preclinical research, among others, were excluded. Articles exclusively addressing bariatric techniques other than GB, such as SG, gastric banding, one anastomosis gastric bypass (OAGB), and related procedures, were also excluded. In addition, duplicate records were removed. Full-text assessment was not required, as eligibility could be determined based on the information provided in the title and abstract. The study selection process was illustrated using a PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram, depicting the phases of identification, screening, and final inclusion of studies, and adapted to incorporate additional stages of the study, including scope, analyses, and key tools [23].
Bibliometric and Statistical Analysis Methods
Bibliometric data, including year of publication, authorship, keywords, study location, citation counts, and other relevant metadata, were extracted from publications identified in the selected databases. Results obtained from the different databases were merged using the Bibliometrix software. Subsequently, data cleaning procedures were performed, including duplicate removal, standardization of author names, completion of citation counts for articles retrieved from PubMed through OC as previously described, and other normalizations relevant to the analysis. The data were then organized into a Microsoft Excel spreadsheet to enable subsequent analyses within Bibliometrix. The complete set of metadata is provided in Supplementary Material 2.
Performance analyses were conducted exclusively for the ten most prolific authors in the sample. The following metrics were considered: total number of published articles, total citations, average citations per year, and country, obtained using the Bibliometrix package. Additionally, specific indicators were calculated: Number of Active Years (NAY), defined as the interval between the year of the first and the last publication within the analyzed period, according to the formula NAY = (Year of last publication − Year of first publication) + 1; and Productivity per Active Year (PAY), calculated as the ratio between the total number of publications and the corresponding NAY (PAY = total number of publications/NAY), representing the average annual scientific output during the active period. Authorship position in the publications (e.g., first author or last author) was determined through manual verification of the articles, and this analysis was likewise restricted to the ten most prolific authors. The results were organized and presented in Table 1.
Table 1.
The ten most prolific authors and their characteristics
| Rank | Author | Country | Articles | TC | CY | F- L | NAY-PAY |
|---|---|---|---|---|---|---|---|
| 1 | Olbers T | Sweden | 32 | 3,307 | 183,7 | 3–9 | 18–1.89 |
| 2 | Hjelmesaeth J | Norway | 32 | 966 | 74.3 | 2–19 | 13–2.46 |
| 3 | Holst J | Denmark | 29 | 2,146 | 214.6 | 0–3 | 10 − 3 |
| 4 | Le Roux CW | Ireland | 27 | 2,686 | 206.6 | 3–9 | 13 − 2.1 |
| 5 | Courcoulas A | USA | 22 | 1,695 | 141.2 | 6 − 3 | 12–1.92 |
| 6 | Hofso D | Norway | 21 | 764 | 76.4 | 5–5 | 10 − 2.1 |
| 7 | Madsbad S | Denmark | 20 | 1,745 | 193.8 | 0–9 | 9–2.2 |
| 8 | Sandbu R | Norway | 19 | 553 | 50.2 | 0–2 | 11 − 1.7 |
| 9 | Kirwan JP | USA | 18 | 6,489 | 540.7 | 1–3 | 12 − 1.5 |
| 10 | Peltonen M | Finland | 16 | 1,421 | 142.1 | 0–1 | 10 − 1.8 |
TC Total citations
CY Citations per year
F Number of times the author appeared as first author
L Number of times the author appeared as last author
NAY Number of active years - Formula: Year of the last publication − Year of the first publication + 1
PAY Productivity per active year of publication - Formula: Number of Publications (NP) ÷ Number of Active Years (NAY)
In addition, the ten most cited publications were identified. For these articles, the following information was collected and analyzed: authors, journal of publication, total number of citations, year of publication, average citations per year, and normalized citation counts, with these data obtained using the Bibliometrix package. The journal impact factor (JIF) was retrieved from the Journal Citation Reports (Clarivate Analytics/WoS, 2024), while sample size, intervention duration, and level of evidence, assessed according to the Journal of Bone & Joint Surgery Levels of Evidence scale [24], were determined exclusively for the ten most cited publications and subsequently organized and presented in Table 2.
Table 2.
Ten most cited articles on gastric bypass and their characteristics
| Rank | Authors | Title | Source title | PY | TC | AV | NC | LE | SS | DI |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Philip R. Schauer et al. [25] | Bariatric Surgery versus Intensive Medical Therapy for Diabetes − 5-Year Outcomes | The New England Journal of Medicine- JIF 2024–78.5 | 2017 | 2140 | 267 | 27.2 | I | 150 | 5 |
| 2 | Philip R. Schauer et al. [26] | Bariatric Surgery versus Intensive Medical Therapy in Obese Patients with Diabetes | The New England Journal of Medicine- JIF 2024–78.5 | 2012 | 1985 | 152 | 11.8 | I | 150 | 1 |
| 3 | Geltrude Mingrone, et al. [27] | Bariatric Surgery versus Conventional Medical Therapy for Type 2 Diabetes | The New England Journal of Medicine- JIF 2024–78.5 | 2012 | 1601 | 123 | 9.5 | I | 60 | 2 |
| 4 | Geltrude Mingrone, et al. [28] | Bariatric metabolic surgery versus conventional medical treatment in obese patients with type 2 | The Lancet -JIF 2024 − 88.5 | 2015 | 1459 | 145 | 18.8 | I | 60 | 5 |
| 5 | Philip R. Schauer, et al. [29] | Bariatric Surgery versus Intensive Medical Therapy for Diabetes − 3-Year Outcomes | The New England Journal of Medicine- JIF 2024–78.5 | 2014 | 1374 | 124 | 14.5 | I | 150 | 3 |
| 6 | Ralph Peterli, et al. [30] | Effect of Laparoscopic Sleeve Gastrectomy vs. Laparoscopic Roux-en-Y Gastric Bypass on Weight Loss in Patients With Morbid Obesity: The SM-BOSS Randomized Clinical Trial | JAMA Network- JIF 2024–9.7 | 2018 | 1008 | 144 | 16.7 | I | 217 | 5 |
| 7 | Nguyen NT, et al. [31] | Laparoscopic Versus Open Gastric Bypass: A Randomized Study of Outcomes, Quality of Life, and Costs | Annals of Surgery -JIF − 2024 − 7.5 | 2001 | 950 | 40 | 3.8 | I | 155 | 1 |
| 8 | Paulina Salminen, et al. [32] | Effect of Laparoscopic Sleeve Gastrectomy vs. Laparoscopic Roux-en-Y Gastric Bypass on Weight Loss at 5 Years Among Patients With Morbid Obesity: The SLEEVEPASS Randomized Clinical Trial | JAMA Network- JIF 2024–9.7 | 2018 | 793 | 113 | 13.2 | I | 240 | 5 |
| 9 | Sayeed Ikramuddin, et al. [33] | Roux-en-Y gastric bypass vs. intensive medical management for the control of type 2 diabetes, hypertension, and hyperlipidemia: the Diabetes Surgery Study randomized clinical trial | JAMA Network- JIF 2024–9.7 | 2013 | 671 | 56 | 7.9 | I | 120 | 1 |
| 10 | Ralph Peterli, et al. [34] | Improvement in glucose metabolism after bariatric surgery: comparison of laparoscopic Roux-en-Y gastric bypass and laparoscopic sleeve gastrectomy: a prospective randomized trial | Annals of Surgery -JIF 2024–7.5 | 2009 | 652 | 40 | 7.0 | I | 27 | 0.25 |
PY Publication year, NC Normalized citation, DI Duration of intervention in years
TC Total citation, LE Level of evidence, JIF Journal Impact Factor
AV Average per year, SS Sample size
A total of 47 countries were identified, of which only the ten most prolific were presented in the figure in a horizontal bar format, including the flags and names of each country. Normalization of publication output was performed by dividing the total number of articles by the total population in 2024 (expressed as the absolute number of individuals) and multiplying the result by one million, thereby expressing the indicator as publications per million inhabitants, based on population data obtained from the United Nations (UN) [35]. For bariatric surgery volume, the total number of publications was divided by the total number of bariatric procedures performed in each country (expressed as the absolute number of surgeries), using data obtained from the 8th Global Registry Report (2023) published by the International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO). The resulting value was multiplied by 1,000 and expressed as the number of publications per 1,000 surgeries performed. However, 59.57% of the 47 countries analyzed had unavailable data (not available [N/A]) for bariatric surgery volume, which may limit the validity and interpretability of the normalization process (see Supplementary Material 3). Finally, for obesity prevalence, the population with obesity in each country was estimated by multiplying the total population in 2024 (absolute number of individuals) by the obesity prevalence rate reported by WHO [36], resulting in the estimated number of individuals with obesity (expressed as the absolute number of individuals). The obesity-adjusted index was then calculated by dividing the number of publications by this estimated population and multiplying the result by one million, yielding an indicator expressed as articles per million individuals with obesity. The results were presented as horizontal bar charts (Fig. 3a and d), and the complete normalization data are provided in Supplementary Material 3.
Fig. 3.
(a) The ten most productive countries based on total publication output. (b) The ten most productive countries per million inhabitants. (c) The ten most productive countries per thousand bariatric surgeries performed. (d) The ten most productive countries per million individuals with obesity
Citation counts were retrieved exclusively from OpenCitations [37] for publications indexed in PubMed (n = 88), as PubMed does not provide citation data. For articles indexed in WoS and Scopus, the citation data originally available in these databases were maintained. The extraction of citation data from OC was performed through its public application programming interface (API), using the pandas, requests, and numpy packages implemented in Python (version 3.13) [37]. Citation counts may also be manually verified by consulting the OC website directly.
For scientific mapping, topic modeling was performed. Titles, abstracts, and keywords were extracted, organized in Microsoft Excel, and subsequently preprocessed in the R software, being then combined into a single textual field per document. Preprocessing included conversion to lowercase, removal of punctuation, non-alphabetic characters, and extra whitespace, as well as lemmatization to reduce lexical dispersion. Standard English stopwords and a custom list were also applied to exclude indexing noise, generic methodological terms, and statistical artifacts. Additionally, terminological normalization and merging of relevant multi-word expressions from the biomedical domain were performed, followed by the generation of n-grams to capture frequent terms in the corpus (see Supplementary Material 4).
Topic modeling was conducted using the Latent Dirichlet Allocation method [38], with collapsed Gibbs sampling. During the model selection stage, multiple values of K were estimated, using 500 iterations for each candidate model and 1,000 iterations for the final model, with hyperparameters fixed at α = 0.1 and η = 0.1. The optimal number of topics was determined based on average probabilistic coherence (CalcProbCoherence) and human interpretability [39]. Models with lower K values exhibited thematic overlap, whereas higher values resulted in excessive fragmentation. The model with K = 25 was selected for providing the most coherent thematic organization, with ten representative terms per topic adopted to enhance interpretability. Coherence metrics for the remaining tested models are available in Supplementary Material 5.
Topics were labeled based on the highest-probability terms, prioritizing those most representative of the distribution estimated by the model, with supervised validation performed by a bariatric surgeon. The complete list of ranked terms by topic is provided in Supplementary Material 5. Finally, the absolute and relative frequencies of topics were calculated based on the identification of the dominant topic (highest probability in the LDA θ matrix) for each document.
Following LDA estimation, the topic probability distribution (θ) was obtained for each document. To assess thematic evolution over time, topic proportions were aggregated by year of publication, and the mean annual proportion of each topic was calculated based on document-level probabilities. Subsequently, a simple linear regression model was fitted for each topic, using year of publication as the independent variable and the mean annual topic proportion as the dependent variable. The slope coefficient (β₁) was used to indicate the direction of the temporal trend. A significance level of p < 0.01 was adopted to reduce type I error. Topics were then classified as increasing, decreasing, or stable according to the direction and statistical significance of the regression coefficient. For visualization purposes, figures were generated displaying the topics, their respective labels, and the variation in mean annual proportion (%) over the analyzed period.
The temporal trend of publications was evaluated using Kendall’s correlation coefficient (τ), considering years of publication and the annual number of studies. The average annual growth rate was obtained using Bibliometrix.
Descriptive statistical analyses (means, standard deviations, and medians) and bibliometric analyses were performed using R (version 4.4.3) [40] and the bibliometrix package [12].
Results
The search strategy identified a total of 6,142 publications, distributed across the WoS (n = 1,506), PubMed (n = 1,468), and Scopus (n = 3,168) databases. After duplicate removal and application of the eligibility criteria, 407 records from WoS, 88 from PubMed, and 571 from Scopus remained, resulting in a final sample of 1,066 publications included in the analysis (Fig. 1).
Fig. 1.
PRISMA flow diagram adapted from the PRISMA 2020 statement
Scientific Production
Of the 1,066 articles analyzed, 740 (69.4%) addressed exclusively RYGB, whereas 314 (29.4%) investigated the combination of RYGB and SG, in some cases associated with a third surgical technique. The remaining twelve studies evaluated RYGB in combination with other procedures, such as OAGB, duodenal switch, and adjustable gastric banding.
A statistically significant increasing trend in the number of publications was observed over the analyzed period (τ = 0.764; z = 5.21; p < 0.001), with an average annual growth rate of 10.2% (Fig. 2).
Fig. 2.
Annual number of publications over the study period, illustrating the yearly distribution and overall trend in scientific output
An approximate increase of 339.5% in the number of publications was also observed between the first decade (147 articles) and the second decade (646 articles) of the analyzed period. Between 2021 and 2024, a total of 273 publications were recorded, corresponding to 42.3% of the total output of the previous decade.
Prolific Countries
Contributions to research on clinical trials in GB were identified across 47 countries. The ten most prolific were highlighted for comparative analysis, which considered both absolute publication volume and three normalization indicators: articles per million inhabitants, articles per 1,000 bariatric surgeries, and articles per million individuals with obesity.
Analysis based on absolute scientific output (Fig. 3a) showed that North America and South America account for a substantial share of global production, primarily driven by the high number of publications from the United States and Brazil. In contrast, other South American countries demonstrated limited scientific participation, with publications identified only from Chile, Venezuela, and Argentina, which together did not reach 20 publications within the analyzed corpus (see Supplementary Material 3).
In addition to the United States and Brazil, eight European countries comprised the group of most prolific nations, contributing substantially to the absolute volume of publications. However, when scientific output was normalized by million inhabitants (Fig. 3b), bariatric surgery volume (Fig. 3c), and population of individuals with obesity (Fig. 3d), a shift in the leadership pattern was observed. From this perspective, European countries, particularly those in Northern and Central Europe, emerged as the most prominent, demonstrating high levels of relative scientific productivity. The complete results for other regions are presented in Supplementary Table 3.
Prolific Author
A total of 5,941 authors contributed to clinical trials on GB within the set of publications included in this study. The mean number of authors per publication was 8.6, and international co-authorship accounted for 9.9% of the studies.
The distribution of productivity showed that approximately 77% (4,590/5,941) of authors published only a single article, whereas only 1.4% (81) were responsible for five or more publications. Table 1 presents the ten most prolific authors.
European authors predominated among the most prolific researchers, and nine of the ten most cited authors demonstrated more than a decade of academic experience, as measured by the number of active years. Nevertheless, despite their extensive experience, mean annual productivity did not exceed four publications per year, as indicated by productivity per active year. A predominance of co-authorship positions was also observed, particularly the last authorship position, which was occupied by the majority of these researchers at least once.
The Ten Most Cited Publications
Table 2 presents the characteristics of the ten most cited publications. Collectively, these studies accumulated 12,633 citations, with individual counts ranging from 652 to 2,140 citations. This volume corresponds to approximately 19.2% (12,633/65,972) of the total citations across all articles in the corpus, indicating that nearly one-fifth of all citations were concentrated in just ten publications.
The mean number of authors per publication was 12.4 (standard deviation = 3.92), with a median of 10.5. A strong concentration of articles in very high-impact journals was observed, with more than half of these journals presenting a JIF exceeding 78, highlighting the relevance and broad scientific visibility of these publications.
All ten publications presented normalized citation values equal to or greater than 3, indicating that they were cited at least three times above the average of articles published in the same year within the analyzed corpus. Additionally, substantial variability was observed in sample sizes, ranging from 27 to 240 participants, as well as in follow-up periods, with durations varying from a minimum of three months to a maximum of five years.
Coherence Analysis and Model Selection
Coherence analysis indicated that the model with K = 38 (red) achieved the highest mean coherence (0.20); however, it did not demonstrate satisfactory human interpretability. Other coherence values yielded results similar to those observed for the K = 38 model (Fig. 4).
Fig. 4.
Coherence analysis for optimal topic number selection in the LDA model. The dashed blue line represents the selected model, and the red line indicates the model with the highest coherence score
The model with K = 25 (blue) presented a mean coherence of 0.19, a value very close to the maximum observed. Therefore, the model with K = 25 was selected, as it exhibited lower noise levels, improved human interpretability, and a more semantically consistent thematic structure better suited to the analyzed corpus.
Latent Dirichlet Allocation (LDA) Topic Modeling
With the 25 identified topics, labels were assigned to each cluster, enabling the identification of the main research topics in the literature on clinical trials in GB. Table 3 presents the identified topics, along with the frequency of documents within each topic.
Table 3.
Topics, keywords, and frequency identified by the LDA model
| Topic (Absolute and Relative Frequency%) |
keywords |
|---|---|
|
Topic 1- Gut Hormones and Postprandial Glucose Response (75 − 7.0%) |
glucagon_like_peptide_1, postprandial, glucose, meal, hormone, test, hormones, responses, plasma, gut |
|
Topic 2 - Glycemic Control and Type 2 Diabetes Remission (42 − 3.9%) |
diabetes_mellitus, insulin, dependent, non, type_2_diabetes, type, diabetes, hba1c, hemoglobin, remission |
|
Topic 3 - Postoperative Pain Management and Laparoscopic Recovery (62 − 5.8%) |
pain, laparoscopic, recovery, analgesia, nausea, opioid, morphine, scores, stay, analgesic |
|
Topic 4- Thromboembolism Prophylaxis: Efficacy, Safety, and Dosing (14 − 1.3%) |
efficacy, risk, safety, dose, sleeve_gastrectomy, daily, prophylaxis, prevention, thromboembolism, second |
|
Topic 5 - Physical Activity and Health Outcomes (50 − 4.6%) |
exercise, physical_activity, physical, composition, intervention, health, training, test, program, mass |
|
Topic 6 - Cardiometabolic Risk Factors and Metabolic Profile (21 − 1.9%) |
cholesterol, high, lipoprotein, density, glucose, low, circumference, waist, triacylglycerol, metabolic |
|
Topic 7 - Health-Related Quality of Life and Eating Behavior Assessment (51 − 4.7%) |
quality_of_life, questionnaire, health, related, symptoms, score, eating, behavior, self, scale |
|
Topic 8 - Dietary Patterns and Nutritional Intake (53 − 4.9%) |
diet, intake, low, energy, calorie, dietary, caloric, composition, fat, measured |
|
Topic 9 - Amino Acid and Protein Metabolism with Metabolic Regulation (25 − 2.3%) |
acids, metabolism, plasma, acid, metabolic, mass, protein, expression, regulation, metabolites |
|
Topic 10 - Drug administration and pharmacokinetics (37 − 3.4%) |
drug, plasma, dose, concentration, oral, area, administration, curve, maximum, single |
|
Topic 11 - Preoperative Predictive Factors (16 − 1.5%) |
predictors, preoperative, predictive, predictor, value, high, predicted, center, cohort, presence |
|
Topic 12 - Residual Topic: Non-specific Outcome Reporting Terms (13 − 1.2%) |
six, differences, based, evaluated, use, morbidly, assessed, reduced, values, purpose |
|
Topic 13 -Inflammation and Adipose Tissue Biomarkers (45 − 4.2%) |
c_reactive_protein, adipose, roux, anastomosis, inflammation, bmi, factor, tissue, protein, inflammatory |
|
Topic 14 -Comparison of Surgical Techniques: Clinical Outcomes (83 − 7.7%) |
excess, sleeve_gastrectomy, rouxeny, bmi, laparoscopic, comorbidities, complications, mass, long_term, percentage |
|
Topic 15 -Surgical vs. Medical Treatment for Type 2 Diabetes (57 − 5.3%) |
type_2_diabetes, medical, therapy, remission, greater, bmi, intervention, surgical, sleeve_gastrectomy, risk |
|
Topic 16 -Nutritional Deficiencies and Bone Metabolism (52 − 4.8%) |
vitamin, supplementation, calcium, deficiency, bone, serum, deficiencies, supplements, nutritional, parathyroid_hormone |
|
Topic 17 - Respiratory Aspects (34 − 3.1%) |
pressure, laparoscopic, volume, randomly, preoperative, function, recorded, pulmonary, respiratory, positive |
|
Topic 18 - Glucose–Insulin Metabolism in Type 2 Diabetes (73 − 6.8%) |
glucose, insulin_sensitivity, insulin, insulin_resistance, metabolism, type_2_diabetes, tolerance, function, reduction, fasting |
|
Topic 19 - Biliopancreatic diversion and intestinal limb configuration (9-0.8.8%) |
biliopancreatic, limb, standard, diversion, biliopancreatic_diversion_duodenal_switch, alimentary, common, long, nutritional, roux |
|
Topic 20 - Cardiovascular Disease and Risk Reduction (25 − 2.3%) |
disease, reduction, cardiovascular, heart, hypertension, pressure, therapy, function, sleep, morbidly |
|
Topic 21 - Surgical Complications and Operative Outcomes (111 − 10.4%) |
complications, laparoscopic, surgical, operative, laparoscopy, operation, stay, duration, stomach, complication |
|
Topic 22 - Clinical Risk Factors in Surgical Patients (42 − 3.9%) |
multicenter, risk, surgical, cohort, care, adjustable_gastric_banding, sex, risk_factor, mass, matched |
|
Topic 23 - Hepatic steatosis and intestinal microbiota (25 − 2.3%) |
imaging, liver, fatty, resonance, microbiota, magnetic, function, showed, intestine, gut |
|
Topic 24 - Endoscopic management of weight regain (35 − 3.2%) |
endoscopic, endoscopy, pouch, safety, weight_regain, stomach, gastrointestinal, treated, tract, anastomosis |
|
Topic 25 - Clinical Evidence and Trial-Based Comparisons in Sleeve Gastrectomy (16 − 1.5%) |
sleeve_gastrectomy, differences, trials, assess, future, three, aimed, among, regarding, evidence |
Among the identified topics, five stand out due to their higher representativeness, presented in descending order of frequency: Surgical Complications and Operative Outcomes (topic 21); Comparison of Surgical Techniques: Clinical Outcomes (topic 14); Postprandial Incretin Response and Glycemic Regulation (topic 1); and Postoperative Pain Management and Laparoscopic Recovery (topic 3), collectively accounting for 37.7% of the publications. This prominence indicates a high frequency of occurrence of these themes in the literature over time, suggesting that they represent more consolidated and extensively investigated areas within the field. Type 2 diabetes represents a central focus of the literature, with Topics 2, 15, and 18 collectively accounting for 16% of the total scientific output.
Conversely, the five least represented topics were as follows: Hepatic steatosis and intestinal microbiota (topic 23); Cardiovascular Disease and Risk Reduction (topic 20); Amino Acid and Protein Metabolism with Metabolic Regulation (topic 9); Cardiometabolic Risk Factors and Metabolic Profile (topic 6); and Thromboembolism Prophylaxis: Efficacy, Safety, and Dosing (topic 4). Collectively, they accounted for only 10.1% of the publications in the field.
It is noteworthy that, in addition to the predominant surgical and metabolic domains, topics related to physical activity, quality of life, weight loss and regain, non-communicable chronic diseases, diabetes mellitus, cardiovascular disease, nutritional aspects, and bone health were also identified.
Topic Trends Analysis
Figure 5a and d present the temporal evolution of topics, their regression coefficients (β), and levels of statistical significance. Topics shown in red indicate growth over time, those in blue indicate decline, and those in black remained stable. Overall, different patterns were observed over time; however, the majority of topics exhibited a stable trend throughout the analyzed period.
Fig. 5.
(a) Trends of topics 1 to 7 over time: Each panel shows the annual mean proportion of a topic over time. The red line represents significantly rising topics (p < 0.01), the blue line indicates significantly declining topics (p < 0.01), and the black line reflects stable topics without statistical significance. The slope coefficient of the linear regression and its corresponding p-value are presented for each trend. (b) Trends of topics 8 to 13 over time. (c) Trends of topics 14 to 19 over time. (d) Trends of topics 20 to 25 over time
The topics Gut Hormones and Postprandial Glucose Response (topic 1); Glycemic Control and Type 2 Diabetes Remission (topic 2); Physical Activity and Health Outcomes (topic 5); Health-Related Quality of Life and Eating Behavior Assessment (topic 7); Surgical vs. Medical Treatment for Type 2 Diabetes (topic 15); and Hepatic steatosis and intestinal microbiota (topic 23) demonstrated a significant increasing trend over the analyzed period, characterizing them as emerging fronts. All these topics showed a mean annual proportion of publications close to 5%.
The topics Respiratory Aspects (topic 17) and Surgical Complications and Operative Outcomes (topic 21) demonstrated a significant declining trend over the analyzed period. Both exhibited a consistent reduction in the mean annual proportion of publications, with higher values in the early years approximately 30–40% followed by a progressive decrease to levels below 10% and 5%, respectively, in more recent years, indicating a substantial decline in their relative representativeness in the literature over time. The topic Respiratory Aspects (topic 17) was widely investigated in the early 2000 s and has shown a sustained decline since 2003. A similar pattern was observed for Surgical Complications and Operative Outcomes (topic 21), although more markedly from 2005 onward.
Discussion
Metabolic and bariatric surgery is recognized as an effective method for weight loss. Among the available procedures, GB, developed in 1967 by Edward E. Mason and Chikashi Ito [41], remains one of the oldest and most established techniques [42]. Despite the growth of research, there is no comprehensive systematization of clinical trials on this topic. This analysis identified 1,066 clinical trials, mapped the main research topics, identified the most prolific countries, and conducted complementary bibliometric performance analyses within the field.
Scientific output on GB clinical trials showed accelerated growth, with a marked increase from 2013. This trend paralleled the global rise in obesity and related comorbidities, increasing the demand for effective weight-control interventions [4]. Technological advances, including minimally invasive laparoscopy and robotic surgery, improved safety and reduced morbidity and mortality [42–44], further stimulating research activity.
The highest scientific output was observed in 2019; thereafter, it declined steadily. This reduction coincided with the Coronavirus Disease 2019 (COVID-19) pandemic, during which healthcare systems redirected resources and postponed elective procedures such as bariatric surgery, limiting clinical activity and related research [45, 46]. A broader decrease in global biomedical output during the pandemic [45], likely also contributed to this trend.
Regarding scientific output related to specific surgical techniques, the United States previously led research output on laparoscopic sleeve gastrectomy between 1998 and 2019 [18], a pattern that was also observed for GB in the present study. This finding is likely associated with substantial national investment in medical research [46], as well as the high prevalence of obesity in the country, which reached approximately 40.3% of adults between 2021 and 2023 [47, 48].
However, when scientific output was normalized per million inhabitants, per thousand bariatric surgeries performed, and per million individuals with obesity, European countries demonstrated the highest productivity indices, followed by Asian and Oceanian countries. These findings are consistent with previous reports [15, 17, 49] and reflect strong integration between healthcare systems and academic institutions, a high density of research centers, and a consolidated culture of collaboration, which enhance efficiency in knowledge generation.
South American countries, except for Brazil, along with most African nations and parts of the Middle East and Central Asia, remain underrepresented despite increasing obesity rates [50].
Brazil is the only developing country among the ten most prolific nations, ranking second after the United States in absolute output. After normalization, its productivity becomes comparable to that of the United States and corroborates previous findings identifying Brazil as the most productive country in Latin America. This performance may be associated with the marked increase in severe obesity between 2006 and 2021, which has intensified interest in bariatric surgery [51].
The analysis of the ten most prolific authors reinforces the previously observed pattern of global scientific output across countries, highlighting the predominance of researchers affiliated with institutions in the United States and Europe. This concentration reflects persistent geographic disparities in knowledge generation, with limited representation from low- and middle-income regions. Strengthening international collaboration, particularly through partnerships involving underrepresented countries, may constitute a strategic approach to mitigating these disparities and promoting a more balanced distribution of global scientific output.
LDA-based topic modeling identified latent topics encompassing progressively more multidimensional areas.
Topics 2, 15, and 18 primarily focus on T2DM and, collectively, represent the most investigated themes. The association between GB and T2DM remission is evidenced by the recurrence of the term remission within these topics. This finding is consistent with previous studies demonstrating the impact of bariatric surgery on T2DM remission [25, 52, 53].
Despite being well established in the literature, T2DM-related topics have increased significantly over time, indicating sustained research interest. This pattern suggests a continued concentration of the literature on the relationship between diabetes mellitus and bariatric surgery, as evidenced by its recurrence across the most prominent topics identified in the analysis.
Some topics demonstrated low representativeness, each accounting for less than 3% of publications, including cardiovascular disease and risk reduction, thromboembolism prophylaxis (efficacy, safety, and dosing), cardiometabolic risk factors and metabolic profile, amino acid and protein metabolism with metabolic regulation, as well as hepatic steatosis and intestinal microbiota. This distribution indicates that these themes occupy a more limited space within the overall structure of the literature. Notably, hepatic steatosis and intestinal microbiota showed a significant temporal increase, suggesting a growing presence of these topics in recent research and characterizing them as emerging areas in the context of RYGB.
Mental health-related outcomes were not identified in the present analysis. However, existing evidence indicates an increased risk of suicidal ideation and suicide attempts following the procedure compared to non-surgical treatment, with meta-analyses reporting a higher risk of suicide and self-harm behaviors during long-term follow-up. This contrast suggests a limited visibility of these outcomes within the thematic structure identified in the analyzed literature [54, 55].
Finally, bibliometric studies are often limited by reliance on a single database, which may restrict the scope of the analyzed literature [16, 56]. To minimize this limitation, the present study incorporated three databases: WoS, PubMed/MEDLINE, and Scopus [57]. Although PubMed does not provide citation data [58], this limitation was mitigated through the use of open-access citation initiatives, particularly OC [21]. In addition, this study applied topic modeling through LDA, an approach that remains relatively underexplored in bibliometric research within this field.
Nevertheless, some limitations should be acknowledged. Despite efforts to ensure robustness, constraints remain, particularly in the substantiating stage of the sensemaking approach [20, 59], which addresses the dependability, confirmability, and transferability of interpretations. Inconsistencies in metadata across databases may lead to errors in author identification, even after normalization, potentially affecting accuracy. Additionally, the inclusion of only clinical trials may limit the comprehensiveness of the analysis by excluding evidence from observational studies and systematic reviews. In topic modeling, Topic 12 appears to reflect non-specific analytical language rather than a clearly delineated clinical domain, likely representing a residual artifact of the LDA model, a phenomenon commonly observed in LDA-based approaches.
Conclusion
The global research landscape in the field of GB demonstrates a consistent upward trajectory in scientific output over the analyzed period, despite a slight decline in the most recent years, which may be related to contextual factors. Scientific output remains predominantly concentrated in the United States, with several European nations also holding leading positions. Nevertheless, marked geographic disparities persist, as contributions from various regions with a substantial and growing burden of obesity remain comparatively limited, highlighting ongoing imbalances in the global distribution of research activity.
Research on bariatric surgery remains largely focused on T2DM and metabolic remission. Although its association with improved glycemic control is well established, ongoing studies continue to expand this field. However, future research should move beyond remission and address other clinically relevant diabetes outcomes.
Several clinically important themes remain underrepresented in clinical trials, including cardiovascular aspects, thromboembolism prophylaxis, hepatic steatosis, and gut microbiota. Notably, mental health and psychiatric outcomes did not emerge as structured thematic clusters in our analysis, despite their recognized clinical relevance in the postoperative context.
Overall, the results of this study contribute to the understanding of the trajectory and thematic areas of this research field, particularly within the context of clinical trials throughout the 21 st century.
Supplementary Information
Below is the link to the electronic supplementary material.
Author Contributions
R.F.M.: Study conception and design, methodology definition, data analysis and interpretation, and manuscript drafting. V.C.: Study selection and screening of included articles, and translation review. G.F.D.D. and T.R.O.: Manuscript review. J.B.: Critical revision of the manuscript for important intellectual content, scientific supervision, and overall study oversight. All authors approved the final version of the manuscript and agree to be accountable for all aspects of the work.
Funding
The Article Processing Charge (APC) for the publication of this research was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) (ROR identifier: 00x0ma614). This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under grant number 131130/2025-0.
Data Availability
The datasets generated and analyzed during the current study are available in Supplementary File 2.
Declarations
Ethical Declarations
This article does not contain any studies with human participants or animals performed by any of the authors.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Hopkins KD, Lehmann ED. Successful medical treatment of obesity in 10th century Spain. Lancet. 1995;346(8972):452. 10.1016/s0140-6736(95)92830-8. [DOI] [PubMed] [Google Scholar]
- 2.Peri K, Eisenberg M. Review on obesity management: bariatric surgery. BMJ Public Health. 2024;2:e000245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ard J, Huett-Garcia A, Bildner M. Tackling the complexity of obesity in the US through adaptation of public health strategies. Front Public Heal. 2025;13. [DOI] [PMC free article] [PubMed]
- 4.Ahmed SK, Mohammed RA. Obesity: prevalence, causes, consequences, management, preventive strategies and future research directions. Metab Open. 2025;27:100375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.World Obesity Federation. World obesity atlas 2022. London: World Obesity Federation. 2022. Available from: https://www.worldobesity.org/resources/resource-library/world-obesity-atlas-2022 [Internet]. Available from: https://s3-eu-west-1.amazonaws.com/wof-files/World_Obesity_Atlas_2022.pdf.
- 6.World Health Organization. Obesity and overweight: fact sheet. Geneva: World Health Organization. 2025 May 7. Available from: https://www
- 7.Eisenberg D, Shikora SA, Aarts E, Aminian A, Angrisani L, Cohen RV. 2022 American society for metabolic and bariatric surgery (ASMBS) and international federation for the surgery of obesity and metabolic disorders (IFSO): indications for metabolic and bariatric surgery. Surg Obes Relat Dis. 2022;18:1345–56. [DOI] [PubMed] [Google Scholar]
- 8.International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO). First IFSO global registry report. Dendermonde (Belgium): IFSO Global Registry. 2014.
- 9.International Federation for the Surgery of Obesity and Metabolic. Disorders (IFSO). 9th IFSO global registry report. Dendermonde (Belgium): IFSO Global Registry. 2024.
- 10.International Federation for the Surgery of Obesity and Metabolic DIsorders (IFSO). 8th global registry report: international federation for surgery for obesity and metabolic disorders. [S. l.]: IFSO. 2023. Disponível em https://www.ifso.com/
- 11.Kashyap SR, Bhatt DL, Wolski K, Watanabe RM, Abdul-Ghani M, Abood B, et al. Metabolic effects of bariatric surgery in patients with moderate obesity and type 2 diabetes. Diabetes Care. 2013;36:2175–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Aria M, Cuccurullo C. bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetr. 2017;11:959–75. [Google Scholar]
- 13.Burns PB, Rohrich RJ, Chung KC. The levels of evidence and their role in evidence-based medicine. Plast Reconstr Surg. 2011;128:305–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhang H, Jiang X. Importance of clinical trials and contributions to contemporary medicine: commentary. Ann Med. 2025. 10.1080/07853890.2025.2451190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dabi Y, Darrigues L, Katsahian S, Azoulay D, De Antonio M, Lazzati A. Publication trends in bariatric surgery: A bibliometric study. Obes Surg. 2016;26:2691–9. [DOI] [PubMed] [Google Scholar]
- 16.Seckin D, Cebeci F. Bariatric surgery and weight gain: A bibliometric analysis. Obes Surg. 2024;34:929–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ozsoy Z, Demir E. Which bariatric procedure is the most popular in the world? A bibliometric comparison. Obes Surg. 2018;28:2339–52. [DOI] [PubMed] [Google Scholar]
- 18.Çapkinoğlu E, Yi̇ği̇t B. Çi̇tgez B. A bibliometric study of articles on laparoscopic sleeve gastrectomy published in Science Citation Index Expanded Journals: Analysis of 4269 articles published between 1998–2020. Acibadem Univ Saglik Bilim Derg. 2023;14.
- 19.Barqawi A, Abushamma FA, Akkawi M, Al-Jabi SW, Shahwan MJ, Jairoun AA, et al. Global trends in research related to sleeve gastrectomy: A bibliometric and visualized study. World J Gastrointest Surg. 2021;13:1509–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Öztürk O, Kocaman R, Kanbach DK. How to design bibliometric research: An overview and a framework proposal. Rev Manag Sci. 2024;18:3333–61. [Google Scholar]
- 21.OpenCitations. COCI, the opencitations index of crossref open DOI-to-DOI citations. Available in: https://opencitations.net/index/coci
- 22.World Health Organization. Guidance for best practices for clinical trials. Geneva: World Health Organization. 2024. 76 p. Available from: https://www.who.int/publications/i/item/9789240097711
- 23.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021. 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Parsa A, Ebrahimzadeh MH. Level of evidence in the archivs of bone and joint surgery journal. Arch Bone Jt Surg. 2017;5:347–50. [PMC free article] [PubMed] [Google Scholar]
- 25.Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Aminian A, Brethauer SA, et al. Bariatric surgery versus intensive medical therapy for diabetes — 5-year outcomes. N Engl J Med. 2017;376:641–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Schauer PR, Kashyap SR, Wolski K, Brethauer SA, Kirwan JP, Pothier CE, et al. Bariatric surgery versus intensive medical therapy in obese patients with diabetes. N Engl J Med. 2012;366:1567–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Mingrone G, Panunzi S, De Gaetano A, Guidone C, Iaconelli A, Leccesi L, et al. Bariatric surgery versus conventional medical therapy for Type 2 diabetes. N Engl J Med. 2012;366:1577–85. [DOI] [PubMed] [Google Scholar]
- 28.Mingrone G, Panunzi S, De Gaetano A, Guidone C, Iaconelli A, Nanni G, et al. Bariatric–metabolic surgery versus conventional medical treatment in obese patients with type 2 diabetes: 5 year follow-up of an open-label, single-centre, randomised controlled trial. Lancet. 2015;386:964–73. [DOI] [PubMed] [Google Scholar]
- 29.Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Brethauer SA, Navaneethan SD, et al. Bariatric surgery versus intensive medical therapy for diabetes — 3-year outcomes. N Engl J Med. 2014;370:2002–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Peterli R, Wölnerhanssen BK, Peters T, Vetter D, Kröll D, Borbély Y, et al. Effect of laparoscopic sleeve gastrectomy vs laparoscopic Roux-en-Y gastric bypass on weight loss in patients with morbid obesity. JAMA. 2018;319:255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nguyen NT, Goldman C, Rosenquist CJ, Arango A, Cole CJ, Lee SJ, et al. Laparoscopic versus open gastric bypass: A randomized study of outcomes, quality of life, and costs. Ann Surg. 2001;234:279–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Salminen P, Helmiö M, Ovaska J, Juuti A, Leivonen M, Peromaa-Haavisto P, et al. Effect of laparoscopic sleeve gastrectomy vs laparoscopic Roux-en-Y gastric bypass on weight loss at 5 years among patients with morbid obesity. JAMA. 2018;319:241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ikramuddin S, Korner J, Lee W-J, Connett JE, Inabnet WB, Billington CJ, et al. Roux-en-Y gastric bypass vs intensive medical management for the control of type 2 diabetes, hypertension, and hyperlipidemia. JAMA. 2013;309:2240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Peterli R, Wölnerhanssen B, Peters T, Devaux N, Kern B, Christoffel-Courtin C, et al. Improvement in glucose metabolism after bariatric surgery: comparison of laparoscopic Roux-en-Y gastric bypass and laparoscopic sleeve gastrectomy. Ann Surg. 2009;250:234–41. [DOI] [PubMed] [Google Scholar]
- 35.United Nations, Department of Economic and Social Affairs, Population Division. world population prospects: The 2024 Revision [Internet]. New York: United Nations. 2024 [cited 2026 Mar 11]. Available from: https://population.un.org/dataportal/data/indicat
- 36.World Health Organization. Obesity among adults, BMI ≥ 30, prevalence (crude estimate). Global health observatory. Available from: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-obesity-among-adults-bmi--30-(crude-estimat
- 37.Python Software Foundation. Python: Version 3.13. Wilmington: Python Software Foundation. 2025. Available from: https://www.python.org
- 38.Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation. J Mach Learn Res. 2003;3:993–1022. [Google Scholar]
- 39.Chang J, Boyd-Graber J, Gerrish S, Wang C, Blei DM. Reading tea leaves: how humans interpret topic models. Advances in Neural Information Processing Systems 22 (NIPS 2009). Red Hook. (NY): Curran Associates; 2009. pp. 288–96. 10.5555/2984093.298412. [Google Scholar]
- 40.R CORE TEAM. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. 2024. Disponível em: https://www.R-project.org/. Accessed on 15 Sept 2025.
- 41.Mason EE, Ito C. Gastric bypass in obesity. Surg Clin North Am. 1967;47:1345–51. [DOI] [PubMed] [Google Scholar]
- 42.Brockmeyer JR, Coffin EM. Gastric bypass: evolution toward mini-invasive techniques and long-term results. Mini-invasive Surg. 2025.
- 43.Phillips BT, Shikora SA. The history of metabolic and bariatric surgery: development of standards for patient safety and efficacy. Metabolism. 2018;79:97–107. [DOI] [PubMed] [Google Scholar]
- 44.Angrisani L, Santonicola A, Iovino P, Palma R, Kow L, Prager G, et al. IFSO worldwide survey 2020–2021: current trends for bariatric and metabolic procedures. Obes Surg. 2024;34:1075–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Aviv-Reuven S, Rosenfeld A. Publication patterns’ changes due to the COVID-19 pandemic: a longitudinal and short-term scientometric analysis. Scientometrics. 2021;126:6761–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Gaind N. How the NIH dominates the world’s health research — in charts. Nature. 2025;639:554–5. [DOI] [PubMed] [Google Scholar]
- 47.Corrêa EL, Cotian LFP, Lourenço JW, Lopes CM, Carvalho DR, Strobel R, et al. Overview of the last 71 years of metabolic and bariatric surgery: content analysis and meta-analysis to investigate the topic and scientific evolution. Obes Surg. 2024;34:1885–908. [DOI] [PubMed] [Google Scholar]
- 48.Emmerich S, Fryar C, Stierman B, Ogden C. Obesity and severe obesity prevalence in adults: United States, August 2021–August 2023. Atlanta, GA. 2024. [DOI] [PMC free article] [PubMed]
- 49.Vioque J, Ramos JM, Navarrete-Muñoz EM, García‐de‐la‐Hera M. A bibliometric study of scientific literature on obesity research in PubMed (1988–2007). Obes Rev. 2010;11:603–11. [DOI] [PubMed] [Google Scholar]
- 50.Wong MCS, Huang J, Wang J, Chan PSF, Lok V, Chen X, et al. Global, regional and time-trend prevalence of central obesity: a systematic review and meta-analysis of 13.2 million subjects. Eur J Epidemiol. 2020;35:673–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Dias FSB, Silva TF da, Lima Y, de MM, Farias LS, Gadelha JG, Ramalho AA. Temporal trend of severe obesity in Brazilian state capitals (2006–2021). Obesities. 2023;3:119–31.
- 52.Mingrone G, Panunzi S, De Gaetano A, Guidone C, Iaconelli A, Capristo E, et al. Metabolic surgery versus conventional medical therapy in patients with type 2 diabetes: 10-year follow-up of an open-label, single-centre, randomised controlled trial. Lancet. 2021;397:293–304. [DOI] [PubMed] [Google Scholar]
- 53.Rubino F, Nathan DM, Eckel RH, Schauer PR, Alberti KGMM, Zimmet PZ, et al. Metabolic surgery in the treatment algorithm for type 2 diabetes: a joint statement by international diabetes organizations. Diabetes Care. 2016;39:861–77. [DOI] [PubMed] [Google Scholar]
- 54.Hung A, Maciejewski ML, Berkowitz TSZ, Arterburn DE, Mitchell JE, Bradley KA, et al. Bariatric surgery and suicide risk in patients with obesity. Ann Surg. 2023;278:e760–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Law S, Dong S, Zhou F, Zheng D, Wang C, Dong Z. Bariatric surgery and mental health outcomes: an umbrella review. Front Endocrinol (Lausanne). 2023;14:1283621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Zhao N, Tao K, Wang G, Xia Z. Global obesity research trends during 1999 to 2017. Med (Baltim). 2019;98:e14132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Tarazi A. Comparative analysis of the bibliographic data sources using pubMed, scopus, web of science, and lens. High Yield Med Rev. 2024;2.
- 58.Liang Z, Mao J, Lu K, Li G. Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources. Scientometrics. 2021;126:9519–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Lim WM, Kumar S. Guidelines for interpreting the results of bibliometric analysis: a sensemaking approach. Glob Bus Organ Excell. 2024;43:17–26. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study are available in Supplementary File 2.





