Analysis of research topics and trends in investigator-initiated research/trials (IIRs/IITs): A topic modeling study

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Abstract

Background:

With the exponential growth of publications in the field of investigator-initiated research/trials (IIRs/IITs), it has become necessary to employ text mining and bibliometric analysis as tools for gaining deeper insights into this area of study. By using these methods, researchers can effectively identify and analyze research topics within the field.

Methods:

This study retrieved relevant publications from the Web of Science Core Collection and conducted bioinformatics analysis. The latent Dirichlet allocation model, which is based on machine learning, was utilized to identify subfield research topics.

Results:

A total of 4315 articles related to IIRs/IITs were obtained from the Web of Science Core Collection. After excluding duplicates and articles with missing abstracts, a final dataset of 3333 articles was included for bibliometric analysis. The number of publications showed a steady increase over time, particularly since 2000. The United States, Germany, the United Kingdom, the Netherlands, Canada, Denmark, Japan, Switzerland, and France emerged as the most productive countries in terms of IIRs/IITs. The citation analysis revealed intriguing trends, with certain highly cited articles showing a significant increase in citation frequency in recent years. A model with 45 topics was deemed the best fit for characterizing the extensively researched fields within IIRs/IITs. Our analysis revealed 10 top topics that have garnered significant attention, spanning domains such as community health, cancer treatment, brain development and disease mechanisms, nursing research, and stem cell therapy. These top topics offer researchers valuable directions for further investigation and innovation. Additionally, we identified 12 hot topics, which represent the most cutting-edge and highly regarded research areas within the field.

Conclusion:

This study contributes to a comprehensive understanding of the current research landscape and provides valuable insights for researchers working in this domain.

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Most cited references 33

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The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017

Arash Etemadi, Saeid Safiri, Sadaf Sepanlou … (2019)

Summary Background Stomach cancer is a major health problem in many countries. Understanding the current burden of stomach cancer and the differential trends across various locations is essential for formulating effective preventive strategies. We report on the incidence, mortality, and disability-adjusted life-years (DALYs) due to stomach cancer in 195 countries and territories from 21 regions between 1990 and 2017. Methods Estimates from GBD 2017 were used to analyse the incidence, mortality, and DALYs due to stomach cancer at the global, regional, and national levels. The rates were standardised to the GBD world population and reported per 100 000 population as age-standardised incidence rates, age-standardised death rates, and age-standardised DALY rates. All estimates were generated with 95% uncertainty intervals (UIs). Findings In 2017, more than 1·22 million (95% UI 1·19–1·25) incident cases of stomach cancer occurred worldwide, and nearly 865 000 people (848 000–885 000) died of stomach cancer, contributing to 19·1 million (18·7–19·6) DALYs. The highest age-standardised incidence rates in 2017 were seen in the high-income Asia Pacific (29·5, 28·2–31·0 per 100 000 population) and east Asia (28·6, 27·3–30·0 per 100 000 population) regions, with nearly half of the global incident cases occurring in China. Compared with 1990, in 2017 more than 356 000 more incident cases of stomach cancer were estimated, leading to nearly 96 000 more deaths. Despite the increase in absolute numbers, the worldwide age-standardised rates of stomach cancer (incidence, deaths, and DALYs) have declined since 1990. The drop in the disease burden was associated with improved Socio-demographic Index. Globally, 38·2% (21·1–57·8) of the age-standardised DALYs were attributable to high-sodium diet in both sexes combined, and 24·5% (20·0–28·9) of the age-standardised DALYs were attributable to smoking in males. Interpretation Our findings provide insight into the changing burden of stomach cancer, which is useful in planning local strategies and monitoring their progress. To this end, specific local strategies should be tailored to each country's risk factor profile. Beyond the current decline in age-standardised incidence and death rates, a decrease in the absolute number of cases and deaths will be possible if the burden in east Asia, where currently almost half of the incident cases and deaths occur, is further reduced. Funding Bill & Melinda Gates Foundation.

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Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Hamed Jelodar, Yongli Wang, Chi Yuan … (2019)

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Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review

Udaya Ralapanawa, Ramiah Sivakanesan (2021)

Background: Coronary Artery Disease (CAD) is the foremost single cause of mortality and loss of Disability Adjusted Life Years (DALYs) globally. A large percentage of this burden is found in low and middle income countries. This accounts for nearly 7 million deaths and 129 million DALYs annually and is a huge global economic burden. Objective: To review epidemiological data of coronary artery disease and acute coronary syndrome in low, middle and high income countries. Methods: Keyword searches of Medline, ISI, IBSS and Google Scholar databases. Manual search of other relevant journals and reference lists of primary articles. Results: Review of the results of studies reveals the absolute global and regional trends of the CAD and the importance and contribution of CAD for global health. Data demonstrates which region or countries have the highest and lowest age-standardized DALY rates and what factors might explain these patterns. Results also show differences among the determinants of CAD, government policies, clinical practice and public health measures across the various regions of world. Conclusion: CAD mortality and prevalence vary among countries. Estimation of the true prevalence of CAD in the population is complex. A significant number of countries have not provided data, the estimation of the exact figures for epidemiological data is a barrier. The incidence of CAD continues to fall in developed countries over the last few decades and this may be due to both effective treatment of the acute phase and improved primary and secondary preventive measures. Developing countries show considerable variability in the incidence of CAD. The globalization of the Western diet and increased sedentary lifestyle will have a dramatic influence on the progressive increase in the incidence of CAD in these countries.

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Author and article information

Contributors

Litao Huang

Fanfan Shi

Journal

Journal ID (nlm-ta): Medicine (Baltimore)

Journal ID (iso-abbrev): Medicine (Baltimore)

Journal ID (publisher-id): MD

Title: Medicine

Publisher: Lippincott Williams & Wilkins (Hagerstown, MD )

ISSN (Print): 0025-7974

ISSN (Electronic): 1536-5964

Publication date Collection: 08 March 2024

Publication date (Electronic): 08 March 2024

Volume: 103

Issue: 10

Electronic Location Identifier: e37375

Affiliations

[a ]Chinese Evidence-Based Medicine Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

[b ]Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China

[c ]Department of Evidence-Based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.

Author notes

[* ] Correspondence: Deying Kang, Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China; Department of Evidence-Based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China (e-mail: deyingkang@ 123456126.com ).

Article

Accession ID: 00051

DOI: 10.1097/MD.0000000000037375

PMC ID: 10919521

PubMed ID: 38457583

SO-VID: 32947b39-a9bc-443e-9c4e-708ac780c4a7

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

History

Date received : 21 September 2023

Date revision received : 26 December 2023

Date accepted : 05 February 2024

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Keywords: bibliometric,investigator-initiated trials,latent dirichlet allocation,web of science

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Keywords: bibliometric, investigator-initiated trials, latent dirichlet allocation, web of science

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Analysis of research topics and trends in investigator-initiated research/trials (IIRs/IITs): A topic modeling study

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Artificial Intelligence in Medicine

Most cited references 33

The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review

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