Most-cited Article Research Articles

Bibliometric analysis of chondrocyte apoptosis in knee osteoarthritis.

Apoptosis, a form of programmed cell death, plays a significant role in osteoarthritis; however, bibliometric studies in this field remain scarce. Bibliometrics provides a visual representation of research outcomes and trends, guiding future investigations. Journal data from January 1, 2013, to December 31, 2023, in this field were obtained from the Web of Science (WOS) core database. Analysis was conducted using VOSviewer and CiteSpace. Analysis revealed that over the past decade, 794 articles were published in 299 journals by 4447 authors from 49 countries and 877 institutions. The top contributors were China, the United States, and the United Kingdom. Zhuang Chao emerged as the most prolific author, and "osteoarthritis and cartilage" ranked as the most frequently cited journal. Keyword clustering focused on mechanisms, inflammation, and cartilage. The most-cited article was "chondrocyte apoptosis in the pathogenesis of osteoarthritis" in the "International Journal of Molecular Sciences." Burst word analysis highlighted extracellular matrix, circular RNA, micro RNA, indicating current research hotspots. Utilizing bibliometrics and visual analysis, we explored the hotspots and trends in the field of chondrocyte apoptosis in osteoarthritis. Extracellular matrix, Circular RNA, Micro RNA, among others, are likely to become future research focal points and frontiers.

A bibliometric analysis of cystic fibrosis transmembrane conductance regulators.

Cystic fibrosis (CF), a multisystem disease primarily affecting the lungs, arises due to pathogenic mutations in the CF transmembrane conductance regulator (CFTR) gene. This study embarked on a bibliometric analysis to survey the use of CFTR modulators in CF treatment. Utilizing the Scopus database, a comprehensive search was executed, incorporating terms related to CF and CFTR modulators. Various document types up to July 19, 2023, were included, with citation counts forming the basis of our analyses. Trends, contributor countries, leading institutions, top authors, journals, keywords, and annual citation trends were evaluated. Our search retrieved 2317 records, predominantly articles. The United States dominated in both publications and citations, followed by the United Kingdom. The University of Alabama, Birmingham, and Vertex Pharmaceuticals, Boston, were among the top institutions. Rowe S.M. was identified as a top-cited author. The Journal of Cystic Fibrosis emerged as the leading journal in terms of publication volume, while the New England Journal of Medicine had the highest citation count. The most-cited article addressed a CFTR potentiator's efficacy in patients with the G551D mutation. The keyword "Cystic fibrosis" appeared most frequently. This bibliometric analysis underscores the significant research focus on CF, especially concerning CFTR modulators. The results highlight the pivotal role of certain countries, institutions, authors, and journals in the progression of CF research, offering insights into current trends and future research directions.

Elucidating the pathogenesis behind arteriovenous malformations of the central nervous system: a bibliometric analysis.

Arteriovenous malformations (AVMs) are vascular malformations of the central nervous system (CNS) with potential for significant consequences. The exact pathophysiologic mechanism of AVM formation is not fully understood. This study aims to evaluate bibliometric parameters and citations of the literature of AVMs to provide an overview of how the field has evolved. We performed an electronic search on Web of Science to identify the top 100 published and indexed articles with the highest number of citations discussing the pathogenesis of AVMs. This study yielded 1863 articles, of which the top 100 were selected based on the highest total citation count. These articles included 24% basic science, 46% clinical, and 30% review articles. The most-cited article was a clinical article from 2003, and the most recent was published in 2022. The median number of authors was 6, with the highest being 46 for a clinical article. The top 5 journals were identified, with the highest impact factor being 20.1. 13 countries were identified, with the US contributing the most articles (approximately 70%). Regarding genes of investigation, VEGF was one of the early genes investigated, while more interested in RAS/MAPK has been garnered since 2015. There is a growing interest in AVM genomics and pathogenesis research. While progress has been made in understanding clinical aspects and risk factors, the exact pathophysiological mechanisms and genetic basis of AVM formation remain incompletely understood. Further investigation of key genes in AVM pathogenesis can allow identification of potential therapeutic targets.

The utility of platelet-rich plasma in modern orthopedic practices: a review of the literature

Introduction Citation analysis is a useful tool to understand the contributions publications make within their fields. As the use of platelet-rich plasma (PRP) by orthopedic shoulder and elbow surgeons increases, it is vital to highlight influential literature that may inform readers of innovations, new applications, and current trends within PRP research. The purpose of this study was to identify and analyze the 50 most-cited publications related to the use of PRP in shoulder and elbow orthopedics. Methods The Clarivate Analytics Web of Science Database was searched using various Boolean searches. Author name, journal, study type, publication year, number of citations, level of evidence, and geographical origin were recorded for each publication. Results Included publications accumulated 6318 total citations with the most-cited article achieving 561 citations. Most studies were randomized controlled trials of Level I evidence. Authors from the United States (10) produced the most publications, and nearly half (22) of the articles were published in the American Journal of Sports Medicine. Discussion Randomized controlled trials composed much of this analysis. As PRP use within upper extremity orthopedics is refined, studies demonstrating evidence in favor of PRP may replace the publications reviewed in this analysis.

Bibliometric analysis of publications on the use of artificial intelligence in digital marketing

This study analyzes the evolution of research on machine learning in marketing from 1991 to November 16, 2022. The search was carried out in several databases and the terms "machine learning" and "marketing" were used. 2,358 articles were found, from which important indicators were obtained: 2021 has been the year with the highest publication activity with 234 articles. The most productive authors are from various fields, including computer science, marketing, and data analysis. The most cited article focuses on the application of deep learning in the fashion industry. The results suggest that research on aprendizaje automático in marketing is growing rapidly and has the potential to transform marketing practices. The need for more research is highlighted to assess the quality of the research and its impact on the scientific community. Bibliometric analysis is a tool that allows the researcher to carry out bibliographic searches effectively, since it generates an overview of the trends in research on the subject

Achilles Tendon Rupture – The Essentials: A Bibliometric Study

Category: Sports; Hindfoot Introduction/Purpose: Achilles tendon rupture and management are among the most prevalent topics in the Foot and Ankle Literature. As the scientific literature increases across all fields of medicine, so too does the literature regarding Achilles tendon rupture. A bibliometric analysis of the current literature will help guide Foot and Ankle surgeons and others interested in learning about or partaking in the treatment of Achilles tendon ruptures. The purpose of this study was to identify and analyze the most- cited and influential research articles regarding Achilles tendon rupture. Methods: Using the Web of Science Database, with the search terms Achilles Tendon Rupture OR Achilles Tendon Tear OR Achilles Tendon Surgery OR Achilles Tendon Repair OR Achilles Tendon Reconstruction, over 1500 publications were identified. The search was then refined to include only original articles, which resulted in 1341 articles (Figure 1). Co-Authorship between authors was analyzed and using a readily available online citation manager software. The 50 most-cited articles were exported from Web of Science into Microsoft Excel for further analysis of publication year, journal, authors, and institution of publication. Results: The 1341 articles were published between 1948 and 2023, a plurality of which were published in 2021 and 2022 (117 and 113 articles, respectively). The top 50 most-cited articles were published between 1974 and 2017, and were cited an average of 170 times, ranging from 79 to 672 citations. RG Young et al.’s article Use of Mesenchymal Stem Cells in a Collagen Matrix for Achilles Tendon Repair was the most-cited article overall and in the past 10 years with 672 and 64 citations overall and since 2013, respectively. The American Journal of Sports Medicine was the most prolific publication, having published 10 of the top 50 most-cited articles. Leppilahti, J., Nilsson-Helander, K., and Silbernagel, K. were the most prolific primary authors, with 2 publications each. Conclusion: There is an immense amount of Achilles tendon rupture research available on the Web of Science. This can make it difficult for Foot and Ankle surgeons and other practitioners interested in the topic to navigate the relevant literature. Bibliometric analyses such as this one can help provide a road map of the most-significant literature available. This study identified and sought to describe the characteristics of the 50 most-influential articles regarding Achilles Tendon Rupture.

POEMS syndrome in the 21st century: A bibliometric analysis

BackgroundPOEMS syndrome is a rare and complex plasma cell disorder characterized by polyneuropathy, organomegaly, endocrinopathy, high M protein levels, and skin changes. Understanding of POEMS syndrome has advanced rapidly since the 21st century. This study aims to summarize and evaluate the research status of POEMS syndrome in the past 23 years through a bibliometric and visualization analysis, and identify research focuses and emerging hotspots for the future. MethodsPOEMS syndrome-related articles published between January 1, 2000, and March 8, 2023, were systematically retrieved from the Web of Science Core Collection. Data processing and visualization analysis were carried out using a combination of R software, HistCite, VOSviewer, and CiteSpace. ResultsSince entering the 21st century, 3677 authors from 1125 institutions in 68 countries/regions have published 830 original and review articles on POEMS syndrome in 408 journals so far, among which the USA, Japan, and China published the most articles, and Mayo Clinic, Udice French Research Universities, and Peking Union Medical College listed the top three most prolific institutions. However, collaborative research across countries and groups in the study of POEMS syndrome remain significantly limited. Angela Dispenzieri ranked first in POEMS syndrome research from every aspect of authors, producing the most papers and contributing the most-cited article, followed by Satoshi Kuwabara and Sonoko Misawa. Internal medicine was the most productive journal on POEMS syndrome. "endothelial growth factor" was the keyword with the highest occurrence except for "POEMS syndrome", and "bevacizumab", "lenalidomide", "dexamethasone", and "management" were recognized as emerging topics. ConclusionThis study utilized bibliometric and visualization analysis to systematically summarize the research of POEMS syndrome in the first two decades of the 21st century, offering a data-based and objective perspective on the field of POEMS syndrome and guiding researchers in the identification of novel research directions.

Bibliometric analysis of 100 top cited articles of heart failure-associated diseases in combination with machine learning.

The aim of this paper is to analyze the application of machine learning in heart failure-associated diseases using bibliometric methods and to provide a dynamic and longitudinal bibliometric analysis of heart failure-related machine learning publications. Web of Science was screened to gather the articles for the study. Based on bibliometric indicators, a search strategy was developed to screen the title for eligibility. Intuitive data analysis was employed to analyze the top-100 cited articles and VOSViewer was used to analyze the relevance and impact of all articles. The two analysis methods were then compared to get conclusions. The search identified 3,312 articles. In the end, 2,392 papers were included in the study, which were published between 1985 and 2023. All articles were analyzed using VOSViewer. Key points of the analysis included the co-authorship map of authors, countries and organizations, the citation map of journal and documents and a visualization of keyword co-occurrence analysis. Among these 100 top-cited papers, with a mean of 122.9 citations, the most-cited article had 1,189, and the least cited article had 47. Harvard University and the University of California topped the list among all institutes with 10 papers each. More than one-ninth of the authors of these 100 top-cited papers wrote three or more articles. The 100 articles came from 49 journals. The articles were divided into seven areas according to the type of machine learning approach employed: Support Vector Machines, Convolutional Neural Networks, Logistic Regression, Recurrent Neural Networks, Random Forest, Naive Bayes, and Decision Tree. Support Vector Machines were the most popular method. This analysis provides a comprehensive overview of the artificial intelligence (AI)-related research conducted in the field of heart failure, which helps healthcare institutions and researchers better understand the prospects of AI in heart failure and formulate more scientific and effective research plans. In addition, our bibliometric evaluation can assist healthcare institutions and researchers in determining the advantages, sustainability, risks, and potential impacts of AI technology in heart failure.

Top 10 Most-Cited Articles Concerning Blended Learning for Introductory Algorithms and Programming: A Bibliometric Analysis and Overview

Blended learning, also known as mixed-mode instruction, combines in-person and online instruction. Blended learning is widely used in school and university subjects. This research aims to determine how blended learning has been applied to algorithms and programming courses over the last 20 years. This study analyzes the quality and quantity of scientific publications using bibliometric techniques and then provides an overview of how blended learning is used and its impact. For this analysis and review, this study conducted a bibliometric analysis of articles published in the last 20 years (2000–2021) and then presented the 10 most cited articles. We established the following criteria for articles: 1) sourced from the Scopus database, 2) concerned about blended learning in algorithms and programming, and 3) publication is limited to articles published in indexed international journals and proceedings. The VOSviewer and MS-Excel applications help with data presentation in this method. We collected 240 articles that met these criteria from the Scopus database, which contained 297 articles published between 2000 and 2021. The most-cited article received 52 citations, while the least received only 3. The top 10 most cited articles are from the following countries: 1) Norway, 2) Serbia, and 3) Saudi Arabia. We divided the articles into categories based on the Sustainable Development Goals (SDGs). The findings of this study can be used as a reference for state-of-the-art and novelty, as well as for the dissemination of scientific references related to the use of blended learning for introductory algorithms and programming.

The 50 most-cited articles in reverse shoulder arthroplasty.

Citation analyses have been used to understand the impact that a group of publications has on its field. As the techniques and indications of reverse total shoulder arthroplasty (RTSA) continue to expand, it is important to identify articles that can orient readers to the history, evolution, and current status of the body of RTSA literature. The purpose of this study was to identify and analyze the 50 most-cited articles related to RTSA. Various Boolean queries were searched on the Clarivate Analytics Web of Science. Information collected included author name, publication year, country of origin, journal name, article type, total number of citations, and level of evidence. Top 50 most-cited articles amassed a total of 10,521 citations. The most-cited article was cited a total of 766 times. The most common study designs were case series (28) and cohort studies (9). Authors from the United States (24) contributed the most to included papers, followed by France (19) and Switzerland (8). The most-cited articles on RTSA are expert opinions, case studies, and cohort studies published by American authors. As RTSA continues to grow over the next decade, studies with higher levels-of-evidence may overtake articles included in this analysis.

The 100 Most-Cited Manuscripts in Hearing Implants: A Bibliometrics Analysis.

The aim of the study was to characterise the most frequently cited articles on the topic of hearing implants.A systematic search was carried out using the Thomson Reuters Web of Science Core Collection database. Eligibility criteria restricted the results to primary studies and reviews published from 1970 to 2022 in English dealing primarily with hearing implants. Data including the authors, year of publication, journal, country of origin, number of citations and average number of citations per year were extracted, as well as the impact factors and five-year impact factor of journals publishing the articles. The top 100 papers were published across 23 journals and were cited 23,139 times. The most-cited and influential articledescribes the first use of the continuous interleaved sampling (CIS)strategy utilised in all modern cochlear implants.More than half of the studies on the list were produced by authors from the United States, and the Ear and Hearing journal had both the greatest number of articlesand the greatest number of total citations. To conclude, this research serves as a guide to the most influential articles on the topic of hearing implants, although bibliometric analyses mainly focus on citations. The most-cited article was an influential description of CIS.

Top-ten most-cited articles on anterior column release in the context of minimally invasive lumbar interbody fusion.

Lateral anterior column release (ACR) is a minimally invasive option for the correction of sagittal plane deformity. To assemble a homogeneous picture of published research on ACR, an advanced bibliometric analysis was conducted to compile the top-ten most-cited articles on the topic of ACR. A keyword search using the Thomson Reuters Web of Knowledge was conducted to identify articles discussing the role of lateral ACR. The articles were then ranked based on the total number of citations to identify the ten most-cited articles published. A subjective appraisal of the findings of these articles was conducted to provide a ranked literature review and to examine trends in the study of ACR between 2012 and 2019. The earliest published article on ACR was in 2012 by Deukmedjian et al. Three articles were in vitro biomechanical assessments of ACR, and seven articles were on outcome analyses, which were either case series or case controlled. The most-cited article was a biomechanical study authored by Uribe et al. The article with the highest rate of citations/year was authored by Manwaring et al. Uribe and the European Spine Journal were the most frequently cited author and journal, respectively. The lateral ACR approach has enjoyed significant scholarly attention since its advent. Higher-level analyses with robust control groups, larger sample sizes, and long-term follow-up are necessary to improve our understanding of this approach.

Bibliometric and Semantic Analysis of the Global Research on Biomarkers in Personalized Medicine

Aim: The aims of the research were to study the citation history of popular articles in the field of biomarkers in personalized medicine, to study the use of terms in the sections of articles, and to consider the key terminology of the most-cited articles and its visualization. Background: The article describes approaches to the analysis of publication activity in the field of biomarkers and personalized medicine based on the data from the Web of Science. Objective: The aim of this study is a bibliometric and semantic analysis of the investigation field related to the application of biomarkers for the purposes of personalized medicine. Methods: The evaluation of a number of publications and its’ citations was carried out. The key terms extracted from the most-cited articles were divided into thematic groups. The number of citations of the most popular articles since 2011 was estimated. Results: The citation histories of the top ten articles were considered. Analysis of key terms from different parts of the most-cited articles included statistics and thematic ranking. The comparison of key terms from the most-cited article and the citing articles allowed us to show that the key terminology of the cited article extends to the citing articles. We presented the key terms of the most-cited articles as a terminological map. Conclusion: The study of citation of the articles in the field of personalized medicine and biomarkers was based on a survey on the Web of Science. Based on the analysis of a number of citations the trends and citation histories were constructed. The statistical and thematic analysis of the use of keywords in different sections of articles was done. We have shown that the citing articles spread the key terms of the cited article to identify trends in knowledge development which could be presented as a terminological map. Others: We presented the results in the form of a terminological map of the latest developments in the field of biomarkers in personalized medicine based on proposed principles.

10th Edition! Happy birthday Archives of Pediatric Neurosurgery!

The first edition of the Archives of Pediatric Neurosurgery (APN) was released in September 2019. Since then we have completed the 10th edition. There were 108 submissions receives (44/year), with a rejection rate of 20%.
 Archives of Pediatric Neurosurgery is the first open access electronic-only journal in pediatric neurosurgery, and also we are on social media as Facebook, Instagram and Tweeter. APN is the only journal specialized in Pediatric Neurosurgery in Latin America and Mexico.
 We have different types of publication highlighted the original papers, review, clinical case, video clinical case, and clinical video lecture.
 The Archives of Pediatric Neurosurgery is a triannual peer-reviewed medical online journal and was recognized in September 2020 as the official publication of the Brazilian Society for Pediatric Neurosurgery. In addition, the internal regulation (by-laws) was approved during the 2021 SBNPed Business Meeting. 
 
 Some statistics related to APN (2019-2022):
 
 MOST DOWNLOADED PDF ARTICLE: Dezena et al. Anatomy of the ventricular system: Historical and morphological aspects
 MOST READ ABSTRACT: De Paula et al. Shaken Baby Syndrome: literature review in the last 5 years
 MOST CITED ARTICLE: de Oliveira RS, Ballestero MFM. The Covid-19 Outbreak and Pediatric Neurosurgery guidelines
 All articles are available online and free license to open access and download. All the papers were peer-reviewed (Figure 1).
 During this period, we included a specialized consultancy and we were able to index the APN in several indexing bases: DOAJ, Google Scholar, Cengage, REDIB, Crossref, Dimensions, J-Gate, and BASE.
 DOAJ is the most important community-driven, open access service in the world and has a reputation for advocating best practices and standards in open access. DOAJ indexing has brought recognition of a correct and well-structured work
 On this special occasion the editorial office would like to extend their greatest appreciation to all editors, and reviewers who have been supportive, and devoted much of their time and effort in nurturing APN. The journal, in particular, would like to thank the authors for submitting their papers to APN.
 We organized two editions in 2022 focusing on craniofacial and arachnoid cysts.
 Based on data from Google Analytics, APN is gaining momentum and attracting interest from readers. The number of accesses to abstracts has been increasing progressively since 2019 (Figure 1).
 The editorial board thanks you and the work continues so that we can reach new indexing bases and consolidate as a reference in pediatric neurosurgery. Recently, the Brazilian Neurosurgery Society recognized the importance of APN by supporting the project.
 Happy Birthday Archives of Pediatric Neurosurgery! A long life for everyone!

Bibliometric Analysis of Public Policy Research in Indonesia 2011-2021

The aim of this study was to analyze the bibliometric characteristics of research works on public policy in Indonesia during the last ten years (2011-2021) by foreign and Indonesian authors. This study utilized Scopus database and retrieved 128 scientific publications from international authors focusing on public policy in Indonesia. The publications are examined based on several indicators including: publication trends, contribution of countries, journals, institutions, authors, top cited articles, and keyword analysis. The results show that during the last decade, there has been significant growth in the number of publications, with Indonesia as the country with the most published research works. Meanwhile, the influential institution affiliations publishing works about public policy in Indonesia are University of New South Wales, Australia and Vanderbilt University from the United States. Besides that, the top influential journal publishers are Development in Practices (UK) and Forest Policy and Economics (Netherlands). Based on the number of publications, Indonesian authors hold the top position, meanwhile, foreign authors were identified as the writers with the largest number of article citations. The most-cited article in public policy research in Indonesia focuses on education policy and published in International Journal of Educational Development. However, four of the top ten articles with the most citations are published in Forest Policy and Economics.

Patellar Tendon Injury: A Bibliometric Analysis of the Most-Cited Articles Demonstrates Relatively High Overall Level of Evidence

PurposeTo identify and analyze the 50 most-cited articles in patellar tendon injury research.MethodsThe ISI Web of Science and SCOPUS databases were used to conduct a search for articles pertaining to patellar tendon injury. For the top 50 most-cited articles, bibliometric data (title, first and senior author, citation count, journal, publication year, citation density, country of origin, Level of Evidence [LOE]) and topic of article were recorded.ResultsThe mean number of citations was 172.0 ± 88.2 (range 101-546). There was a statistically significant correlation between publication year and citation density (r = 0.61, P < .01). The earliest article was the third most-cited article (362 citations), published by Blazina et al. in 1973, which discussed the epidemiology of patellar tendinopathy. The first and second most-cited articles (546 and 466 citations, respectively) covered surgical outcomes of patellar tendinopathy and prevalence of patellar tendinopathy among elite athletes. A total of 14 articles (28%) discussed nonoperative management, whereas only 5 articles discussed surgical management (10%). The most frequent LOE category was a LOE of IV (n = 18, 36%), but 19 studies (38%) were LOE I or LOE II.ConclusionsAmong the top 50 most-cited studies regarding patellar tendon injury, a relatively high number were of a high LOE (19 Level I or II, 38%), affirming that these articles in patellar tendon injury research are not only influential, but also of high-quality evidence.Clinical RelevanceThis bibliometric analysis provides an efficient tool for educators, researchers, and evidence-based practitioners to identify and evaluate the most influential articles in patellar tendon injury research.

Bibliometric analysis of the top 100 most-cited articles on the treatment of osteoporosis.

To perform a bibliometric analysis of the top 100 (T100) most-cited articles on the treatment of osteoporosis published between 1980 and 2021 to reveal major developments and trends in the field and to contribute to the methodologies and hypotheses of future studies. On 15.12.2021, a search was conducted on the Web of Science database using the keyword "osteoporosis treatment" to screen articles published between 1980 and 2021. The title of the article, year of publication, total number and names of the authors, total number of citations and citation index, name and Q index of the journals, H-index, impact factor, country of authors, types of articles, and sources of funding were recorded. The most-cited article was "Osteoporosis Prevention, Diagnosis, And Therapy." The article with the highest citation index was "Clinician's Guide to Prevention and Treatment of Osteoporosis.. The majority of the articles were randomized controlled clinical trials. The journal with the highest number of articles included in the T100 was The New England Journal of Medicine, with 19 articles. The USA had the highest number of articles. There was a strong correlation between the number of citations and citation index of articles (p < 0.001). This study, which examined the T100 most-cited articles on the treatment of osteoporosis, found that the articles primarily focused on the prevention, diagnosis, and follow-up of osteoporosis; search for antiresorptive and anabolic pharmacological agents; investigation of the efficacy and reliability of these agents on specific subpopulations; and surgical treatment options.

High-cited favorable studies for COVID-19 treatments ineffective in large trials

ObjectivesTo evaluate for coronavirus disease 2019 treatments without benefits in subsequent large randomized controlled trials (RCTs) how many of their most-cited clinical studies had declared favorable results. Study Design and SettingScopus searches (December 23, 2021) identified articles on lopinavir-ritonavir, hydroxychloroquine, azithromycin, remdesivir, convalescent plasma, colchicine, or interferon (index interventions) that represented clinical trials and had >150 citations. Their conclusions were correlated with study design features. The 10 most recent citations for the most-cited article on each index intervention were examined on whether they were critical to the highly cited study. Altmetric scores were also obtained. ResultsForty eligible articles of clinical studies had received >150 citations. Twenty of forty (50%) had favorable conclusions and four were equivocal. Highly cited articles with favorable conclusions were rarely RCTs (3/20), although those without favorable conclusions were mostly RCTs (15/20, P = 0.0003). Only one RCT with favorable conclusions had >160 patients. Citation counts correlated strongly with Altmetric scores, especially news items. Only nine (15%) of 60 recent citations to the most highly cited studies with favorable or equivocal conclusions were critical. ConclusionMany clinical studies with favorable conclusions for largely ineffective coronavirus disease 2019 treatments are uncritically heavily cited and disseminated. Early observational studies and small randomized trials may cause spurious claims of effectiveness that get perpetuated.

Why and how formal relational contracts will improve your next corporate real estate outsourcing deal

Relational contracting is not new. But the concept of formal relational contracting is new, especially in the corporate real estate/facility management (CRE/FM) arena. This paper shares the latest research and thinking on relational contracts and explains how using a formal relational contract can boost collaboration and trust with your CRE outsourcing partner. Since the early 1960s, pioneering legal scholars such as Stewart Macaulay and Ian Macneil began promoting the value of the softer ‘relational’ side of contracts. In fact, Macaulay’s original 1963 article on the topic would become the most-cited article in contract law. These pioneers shone a light in the legal and economic fields that fostered intense interest. Still, the concept of using relational contracting practices and relational contracts has never really taken off, specifically in CRE/FM agreements. We believe the time has come for formal relational contracts to take centre stage, especially in light of the need for flexibility and collaboration due to the COVID-19 pandemic.

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