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DeVito NJ, Morley J, Goldacre B. Barriers and best practices to improving clinical trials transparency at UK public research institutions: A qualitative interview study. Health Policy 2024; 142:104991. [PMID: 38417375 DOI: 10.1016/j.healthpol.2024.104991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 12/22/2023] [Accepted: 01/08/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVES Since 2017, the UK government has made concerted efforts to ensure the dissemination of clinical trials conducted at public research institutions. This study aims to understand how stakeholders within these institutions responded to these pressures and modified internal policies and processes while identifying best practices and barriers to improved transparency practice. METHODS Research governance and trial management staff from UK public research institutions (i.e., Universities and NHS Trusts) in England, Scotland and Wales participated in semi-structured interviews. Interviews were analysed using thematic analysis, aided by the framework method. RESULTS Between November 2020 and July 2021, 14 individual participants were recruited from 11 different institutions. They worked in research governance, administration, and management. Almost universally, new policies and procedures have been established to ensure investigators are aware of, and supported in, fulfilling their transparency commitments, however challenges remain. Trials of medicinal products, as the most closely regulated research, consequently received the most attention. National professional networks aid in sharing knowledge and best practice within this community. CONCLUSIONS Investment in the institutional governance of transparency is essential to achieving optimal transparency practices. Universities and hospitals share responsibility for ensuring research is performed and reported to regulatory standards. Facing political pressure, public research institutions in the UK have made efforts to improve their transparency practice which can provide key insights for similar efforts elsewhere.
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Affiliation(s)
- Nicholas J DeVito
- Nuffield Department of Primary Care Health Science, University of Oxford, Oxford, United Kingdom.
| | - Jessica Morley
- Nuffield Department of Primary Care Health Science, University of Oxford, Oxford, United Kingdom
| | - Ben Goldacre
- Nuffield Department of Primary Care Health Science, University of Oxford, Oxford, United Kingdom
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Fan R, Zheng Y, Zhou R, Beeraka NM, Sukocheva OA, Zhao R, Li S, Zhao X, Liu C, He S, Mahesh PA, Gurupadayya BM, Nikolenko VN, Zhao D, Liu J. Chinese Clinical Trial Registry 13-year data collection and analysis: geographic distribution, financial support, research phase, duration, and disease categories. Front Med (Lausanne) 2023; 10:1203346. [PMID: 37901406 PMCID: PMC10602811 DOI: 10.3389/fmed.2023.1203346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 09/27/2023] [Indexed: 10/31/2023] Open
Abstract
Objective To evaluate the current status of trial registration on the Chinese Clinical Trial Registry (ChiCTR). Design In this descriptive study, a multi-dimensional grouping analysis was conducted to estimate trends in the annual trial registration, geographical distribution, sources of funding, targeted diseases, and trial subtypes. Setting We have analyzed all clinical trial records (over 30,000) registered on the Chinese Clinical Trial Registry (ChiCTR) from 2007 to 2020 executed in China. Main outcomes and measures The main outcome was the baseline characteristics of registered trials. These trials were categorized and analyzed based on geographical distribution, year of implementation, disease type, resource and funding type, trial duration, trial phase, and the type of experimental approach. Results From 2008 to 2017, a consistent upward trend in clinical trial registrations was observed, showing an average annual growth rate of 29.2%. The most significant year-on-year (yoy%) growth in registrations occurred in 2014 (62%) and 2018 (68.5%). Public funding represented the predominant source of funding in the Chinese healthcare system. The top five ChiCTR registration sites for all disease types were highly populated urban regions of China, including Shanghai (5,658 trials, 18%), Beijing (5,127 trials, 16%), Guangdong (3,612 trials, 11%), Sichuan (2,448 trials, 8%), and Jiangsu (2,196 trials, 7%). Trials targeting neoplastic diseases accounted for the largest portion of registrations, followed by cardio/cerebrovascular disease (CCVD) and orthopedic diseases-related trials. The largest proportions of registration trial duration were 1-2 years, less than 1 year, and 2-3 years (at 27.36, 26.71, and 22.46%). In the case of the research phase, the top three types of all the registered trials are exploratory research, post-marketing drugs, and clinical trials of new therapeutic technology. Conclusion and relevance Oncological and cardiovascular diseases receive the highest share of national public funding for medical clinical trial-based research in China. Publicly funded trials represent a major segment of the ChiCTR registry, indicating the dominating role of public governance in this health research sector. Furthermore, the growing number of analyzed records reflect the escalation of clinical research activities in China. The tendency to distribute funding resources toward exceedingly populated areas with the highest incidence of oncological and cardiovascular diseases reveals an aim to reduce the dominating disease burden in the urban conglomerates in China.
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Affiliation(s)
- Ruitai Fan
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yufei Zheng
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Runze Zhou
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Narasimha M. Beeraka
- Raghavendra Institute of Pharmaceutical Education and Research (RIPER), Anantapuramu, Andhra Pradesh, India
- Department of Human Anatomy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- Department of Pediatrics, Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Olga A. Sukocheva
- College of Nursing and Health Sciences, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Ruiwen Zhao
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shijie Li
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- College of Medicine, Zhengzhou University, Zhengzhou, China
| | - Xiang Zhao
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- College of Medicine, Zhengzhou University, Zhengzhou, China
| | - Chunying Liu
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- College of Medicine, Zhengzhou University, Zhengzhou, China
| | - Song He
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- College of Medicine, Zhengzhou University, Zhengzhou, China
| | - P. A. Mahesh
- Department of Pulmonary Medicine, JSS Medical College, JSS Academy of Higher Education and Research (JSS AHER), Mysuru, Karnataka, India
| | - B. M. Gurupadayya
- Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education and Research (JSS AHER), Mysuru, Karnataka, India
| | - Vladimir N. Nikolenko
- Department of Human Anatomy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Di Zhao
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junqi Liu
- Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Bruckner T, Wieschowski S, Heider M, Deutsch S, Drude N, Tölch U, Bleich A, Tolba R, Strech D. Measurement challenges and causes of incomplete results reporting of biomedical animal studies: Results from an interview study. PLoS One 2022; 17:e0271976. [PMID: 35960759 PMCID: PMC9374215 DOI: 10.1371/journal.pone.0271976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/11/2022] [Indexed: 11/30/2022] Open
Abstract
Background Existing evidence indicates that a significant amount of biomedical research involving animals remains unpublished. At the same time, we lack standards for measuring the extent of results reporting in animal research. Publication rates may vary significantly depending on the level of measurement such as an entire animal study, individual experiments within a study, or the number of animals used. Methods Drawing on semi-structured interviews with 18 experts and qualitative content analysis, we investigated challenges and opportunities for the measurement of incomplete reporting of biomedical animal research with specific reference to the German situation. We further investigate causes of incomplete reporting. Results The in-depth expert interviews revealed several reasons for why incomplete reporting in animal research is difficult to measure at all levels under the current circumstances. While precise quantification based on regulatory approval documentation is feasible at the level of entire studies, measuring incomplete reporting at the more individual experiment and animal levels presents formidable challenges. Expert-interviews further identified six drivers of incomplete reporting of results in animal research. Four of these are well documented in other fields of research: a lack of incentives to report non-positive results, pressures to ‘deliver’ positive results, perceptions that some data do not add value, and commercial pressures. The fifth driver, reputational concerns, appears to be far more salient in animal research than in human clinical trials. The final driver, socio-political pressures, may be unique to the field. Discussion Stakeholders in animal research should collaborate to develop a clear conceptualisation of complete reporting in animal research, facilitate valid measurements of the phenomenon, and develop incentives and rewards to overcome the causes for incomplete reporting.
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Affiliation(s)
- Till Bruckner
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité –Universitätsmedizin, Berlin, Germany
- Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Hannover, Germany
| | - Susanne Wieschowski
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité –Universitätsmedizin, Berlin, Germany
- Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Hannover, Germany
| | - Miriam Heider
- Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany
| | - Susanne Deutsch
- Institute for Laboratory Animal Science, RWTH Aachen University, Faculty of Medicine, Aachen, Germany
| | - Natascha Drude
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité –Universitätsmedizin, Berlin, Germany
| | - Ulf Tölch
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité –Universitätsmedizin, Berlin, Germany
| | - André Bleich
- Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany
| | - René Tolba
- Institute for Laboratory Animal Science, RWTH Aachen University, Faculty of Medicine, Aachen, Germany
| | - Daniel Strech
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité –Universitätsmedizin, Berlin, Germany
- Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Hannover, Germany
- * E-mail:
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Salholz-Hillel M, Strech D, Carlisle BG. Results publications are inadequately linked to trial registrations: An automated pipeline and evaluation of German university medical centers. Clin Trials 2022; 19:337-346. [PMID: 35362331 PMCID: PMC9203676 DOI: 10.1177/17407745221087456] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background/Aims Informed clinical guidance and health policy relies on clinicians, policymakers, and guideline developers finding comprehensive clinical evidence and linking registrations and publications of the same clinical trial. To support the finding and linking of trial evidence, the World Health Organization, the International Committee of Medical Journal Editors, and the Consolidated Standards of Reporting Trials ask researchers to provide the trial registration number in their publication and a reference to the publication in the registration. This practice costs researchers minimal effort and makes evidence synthesis more thorough and efficient. Nevertheless, trial evidence appears inadequately linked, and the extent of trial links in Germany remains unquantified. This cross-sectional study aims to evaluate links between registrations and publications across clinical trials conducted by German university medical centers and registered in ClinicalTrials.gov or the German Clinical Trials Registry. Secondary aims are to develop an automated pipeline that can be applied to other cohorts of trial registrations and publications, and to provide stakeholders, from trialists to registries, with guidance to improve trial links. Methods We used automated strategies to download and extract data from trial registries, PubMed, and results publications for a cohort of registered, published trials conducted across German university medical centers and completed between 2009 and 2017. We implemented regular expressions to detect and classify publication identifiers in registrations, and trial registration numbers in publication metadata, abstracts, and full-texts. Results In breach of long-standing guidelines, 75% (1,418) of trials failed to reference trial registration numbers in both the abstract and full-text of the journal article in which the results were published. Furthermore, 50% (946) of trial registrations did not contain links to their results publications. Seventeen percent (327) of trials had no links, so that associating registration and publication required manual searching and screening. Overall, trials in ClinicalTrials.gov were better linked than those in the German Clinical Trials Registry; PubMed and registry infrastructures appear to drive this difference. Trial registration numbers were more likely to be transferred to PubMed metadata from abstracts for ClinicalTrials.gov trials than for German Clinical Trials Registry trials. Most (78%, 662/849) ClinicalTrials.gov registrations with a publication link were automatically indexed from PubMed metadata, which is not possible in the German Clinical Trials Registry. Conclusions German university medical centers have not comprehensively linked trial registrations and publications, despite established recommendations. This shortcoming threatens the quality of evidence synthesis and medical practice, and burdens researchers with manually searching and linking trial data. Researchers could easily improve this by copy-and-pasting references between their trial registrations and publications. Other stakeholders could build on this practice, for example, PubMed could capture additional trial registration numbers using automated strategies (like those developed in this study), and the German Clinical Trials Registry could automatically index publications from PubMed.
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Affiliation(s)
- Maia Salholz-Hillel
- QUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel Strech
- QUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Benjamin Gregory Carlisle
- QUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany
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Affiliation(s)
| | - Kelly E Lloyd
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Nicholas J DeVito
- DataLab and Centre for Evidence Based Medicine, University of Oxford, Oxford, UK
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Thiele C, Hirschfeld G, von Brachel R. Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries. Scientometrics 2021. [DOI: 10.1007/s11192-021-04111-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
AbstractRegistries of clinical trials are a potential source for scientometric analysis of medical research and serve important functions for the research community and the public at large. Clinical trials that recruit patients in Germany are usually registered in the German Clinical Trials Register (DRKS) or in international registries such as ClinicalTrials.gov. Furthermore, the International Clinical Trials Registry Platform (ICTRP) aggregates trials from multiple primary registries. We queried the DRKS, ClinicalTrials.gov, and the ICTRP for trials with a recruiting location in Germany. Trials that were registered in multiple registries were linked using the primary and secondary identifiers and a Random Forest model based on various similarity metrics. We identified 35,912 trials that were conducted in Germany. The majority of the trials was registered in multiple databases. 32,106 trials were linked using primary IDs, 26 were linked using a Random Forest model, and 10,537 internal duplicates on ICTRP were identified using the Random Forest model after finding pairs with matching primary or secondary IDs. In cross-validation, the Random Forest increased the F1-score from 96.4% to 97.1% compared to a linkage based solely on secondary IDs on a manually labelled data set. 28% of all trials were registered in the German DRKS. 54% of the trials on ClinicalTrials.gov, 43% of the trials on the DRKS and 56% of the trials on the ICTRP were pre-registered. The ratio of pre-registered studies and the ratio of studies that are registered in the DRKS increased over time.
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Lindsley K, Fusco N, Teeuw H, Mooij E, Scholten R, Hooft L. Poor compliance of clinical trial registration among trials included in systematic reviews: a cohort study. J Clin Epidemiol 2020; 132:79-87. [PMID: 33333165 DOI: 10.1016/j.jclinepi.2020.12.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 11/30/2020] [Accepted: 12/09/2020] [Indexed: 01/09/2023]
Abstract
OBJECTIVES The objective of the study was to examine whether clinical trials that have been included in systematic reviews have been registered in clinical trial registers and, when they have, whether results of the trials were included in the clinical trial register. STUDY DESIGN AND SETTING This study used a sample of 100 systematic reviews published by the Cochrane Musculoskeletal, Oral, Skin and Sensory Network between 2014 and 2019. RESULTS We identified 2,000 trials (369,778 participants) from a sample of 100 systematic reviews. The median year of trial publication was 2007. Of 1,177 trials published in 2005 or later, a clinical trial registration record was identified for 368 (31%). Of these registered trials, 135 (37%) were registered prospectively and results were posted for 114 (31%); most registered trials evaluated pharmaceutical interventions (62%). Of trials published in the last 10 years, the proportion of registered trials increased to 38% (261 of 682). CONCLUSION Although some improvement in clinical trial registration has been observed in recent years, the proportion of registered clinical trials included in recently published systematic reviews remains less than desirable. Prospective clinical trial registration provides an essential role in assessing the risk of bias and judging the quality of evidence in systematic reviews of intervention safety and effectiveness.
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Affiliation(s)
- Kristina Lindsley
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Life Sciences, IBM Watson Health, Baltimore, MD, USA.
| | - Nicole Fusco
- Life Sciences, IBM Watson Health, Baltimore, MD, USA
| | - Hannah Teeuw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Eva Mooij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Rob Scholten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Lotty Hooft
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Knowles RL, Ha KP, Mueller J, Rawle F, Parker R. Challenges for funders in monitoring compliance with policies on clinical trials registration and reporting: analysis of funding and registry data in the UK. BMJ Open 2020; 10:e035283. [PMID: 32071191 PMCID: PMC7045207 DOI: 10.1136/bmjopen-2019-035283] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES To evaluate compliance by researchers with funder requirements on clinical trial transparency, including identifying key areas for improvement; to assess the completeness, accuracy and suitability for annual compliance monitoring of the data routinely collected by a research funding body. DESIGN Descriptive analysis of clinical trials funded between February 2011 and January 2017 against funder policy requirements. SETTING Public medical research funding body in the UK. DATA SOURCES Relevant clinical trials were identified from grant application details, post-award grant monitoring systems and the International Standard Randomised Controlled Trial Number (ISRCTN) registry. MAIN OUTCOME MEASURE The proportion of all Medical Research Council (MRC)-funded clinical trials that were (a) registered in a clinical trial registry and (b) publicly reported summary results within 2 years of completion. RESULTS There were 175 grants awarded that included a clinical trial and all trials were registered in a public trials registry. Of 62 trials completed for over 24 months, 42 (68%) had publicly reported the main findings by 24 months after trial completion; 18 of these achieved this within 12 months of completion. 11 (18%) trials took >24 months to report and 9 (15%) completed trials had not yet reported findings. Five datasets were shared with other researchers. CONCLUSIONS Compliance with the funder policy requirements on trial registration was excellent. Reporting of the main findings was achieved for most trials within 24 months of completion; however, the number of unreported trials remains a concern and should be a focus for future funder policy initiatives. Identifying trials from grant management and grant monitoring systems was challenging therefore funders should ensure investigators reliably provide trial registries with information and regularly update entries with details of trial publications and protocols.
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Affiliation(s)
| | | | - Julia Mueller
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
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Raza MZ, Bruhn H, Gillies K. Dissemination of trial results to participants in phase III pragmatic clinical trials: an audit of trial investigators intentions. BMJ Open 2020; 10:e035730. [PMID: 32014881 PMCID: PMC7045144 DOI: 10.1136/bmjopen-2019-035730] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To determine the proportion of Phase III clinical trials given a favourable opinion by a research ethics committee in the UK that provided trial results to those who participated. DESIGN Audit of records. SETTING Phase III clinical trials registered on the UK's research permissions system (Integrated Research Application System) between the 1 January 2012 to 31 December 2017. MAIN OUTCOME MEASURES Proportion of trial investigators that intended to provide results to trial participants compared against what trials reported to ethics committees at the end of study. RESULTS Out of 1404 Phase III trials, 87.7% (n=1231) trials stated they intended to disseminate results to participants while 12.3% (n=173) trials stated they would not. Out of these 1231 trials, 18.8% (n=231) trials intended to actively communicate trial results or a means of accessing results to their participants, a further 80.5% (n=991) reported passive intention to disseminate and for the remainder (n=9) the process was unclear. Of the 370 End of Study reports (30% of all included studies) that could be accessed 10 (2.7%) explicitly mentioned activities related to dissemination of findings to participants with the majority (74.9%) having no mention and a further 22.4% of reports not being accessible. Of the 10 which did report dissemination of results to participants the majority (n=6) were through a lay summary or letter. CONCLUSIONS Reported intention to disseminate results to trial participants among trial investigators is high, however, reporting of feedback methods is lacking. In addition, mechanisms to ensure intentions to disseminate trial results are translated into actual behaviour need to be put in place to ensure those who participate in trials have the opportunity to find out about the results.
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Affiliation(s)
- M Zulfiqar Raza
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Hanne Bruhn
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Katie Gillies
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
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