Evidence map›Paper›PMID 39461911›Full record

ArticleJournal of robotic surgery2024

Scientific production on robotic metabolic and bariatric surgery: a comprehensive bibliometric analysis on its current world status.

Yeisson Rivero-Moreno, Maria Paula Corzo, Aman Goyal, Juan Camilo Roa-Maldonado, Sophia Echevarria, Steven Elzein, Enrique Elli, Rana Pullatt, Sjaak Pouwels, Beniamino Pascotto and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Review
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

16 authors.

Yeisson Rivero-MorenoUniversidad de Oriente, Núcleo Anzoátegui, Anzoátegui, Venezuela.ORCID http://orcid.org/0000-0002-9077-1460
Maria Paula CorzoUniversidad de Los Andes, Bogota, Colombia.ORCID http://orcid.org/0009-0007-5351-7934
Aman GoyalAdesh Institute of Medical Sciences and Research, Bathinda, Punjab, India. doc.aman.goyal@gmail.com.ORCID http://orcid.org/0000-0001-7336-1366
Juan Camilo Roa-MaldonadoUniversidad del Rosario, Bogota, Colombia.
Sophia EchevarriaUniversidad Mayor de San Simón, Cochabamba, Bolivia.ORCID http://orcid.org/0009-0005-6781-963X
Steven ElzeinDepartment of Surgery, Houston Methodist Hospital, Houston, USA.ORCID http://orcid.org/0009-0007-0827-8241
Enrique ElliMayo Clinic Florida, Jacksonville, USA.
Rana PullattMedical University of South Carolina, Charleston, USA.ORCID http://orcid.org/0000-0002-0943-0379
Sjaak PouwelsDepartment of Surgery, Marien Hospital Herne, University Hospital of Ruhr University Bochum, Herne, NRW, Germany.ORCID http://orcid.org/0000-0002-6390-7692
Beniamino PascottoCentre Hospitalier de Luxembourg, Luxembourg City, Luxembourg.ORCID http://orcid.org/0000-0003-0864-9819
Juan Santiago AzagraCentre Hospitalier de Luxembourg, Luxembourg City, Luxembourg.
Marco RaffaelliU.O.C Chirurgia Endocrina e Metabolica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0002-1259-2491
Luigi AngrisaniDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Wah YangDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Adel Abou-MradCentre Hospitalier Universitaire d'Orléans, Orléans, France.
Rodolfo J OviedoDepartment of Surgery, Nacogdoches Medical Center, Nacogdoches, TX, USA.ORCID http://orcid.org/0000-0003-3784-6555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic metabolic and bariatric surgery (RMBS) has emerged as an innovative approach in the treatment of severe obesity by combining the ergonomic precision of robotic technology and instrumentation with the established benefits of weight loss surgery. This study employs a bibliometric approach to identify local research trends and worldwide patterns in RMBS. MATERIALS &

methodsThe research methodology used "robotic" and "metabolic" or "bariatric surgery" to search Web of Science. Articles that were published prior to December 31st, 2023, were included. The analyses were developed using the Rayyan and Bibliometric, in R Studio.

results265 articles from 51 different journals were included. Scientific production of RMBS experienced a significant annual growth rate of 21.96% from 2003 to 2023, resulting in an average of 12.6 papers published per year. A high correlation (R2 = 0.94) was found between the year and number of articles. The mean number of citations per document was 13.25. Approximately 90% of the journals were classified as zone 3, according to the Bradford categorization. International collaboration was identified in 10.57% of cases, with the University of California and the University of Illinois being the most common organizations. The countries with the highest number of corresponding authors, in descending order, were the United States of America, China, and Switzerland.

conclusionScientific production in RMBS has experienced sustained growth since the first original publications in 2003. While it has not yet reached the volume, impact, and international collaboration seen in studies related to non-robotic metabolic and bariatric surgery, RBMS holds potential that remains to be explored.

Indexed as

Bariatric SurgeryBibliometricsRobotic Surgical ProceduresHumansObesity, MorbidBariatric surgeryBibliometric analysisMetabolic surgeryRobotic surgery

Identifiers

PMID39461911

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.