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Manuilova I, Bossenz J, Weise AB, Boehm D, Strantz C, Unberath P, Reimer N, Metzger P, Pauli T, Werle SD, Schulze S, Hiemer S, Ustjanzew A, Kestler HA, Busch H, Brors B, Christoph J. Identifications of Similarity Metrics for Patients With Cancer: Protocol for a Scoping Review. JMIR Res Protoc 2024; 13:e58705. [PMID: 39230952 PMCID: PMC11411229 DOI: 10.2196/58705] [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: 04/11/2024] [Revised: 06/19/2024] [Accepted: 07/16/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND Understanding the similarities of patients with cancer is essential to advancing personalized medicine, improving patient outcomes, and developing more effective and individualized treatments. It enables researchers to discover important patterns, biomarkers, and treatment strategies that can have a significant impact on cancer research and oncology. In addition, the identification of previously successfully treated patients supports oncologists in making treatment decisions for a new patient who is clinically or molecularly similar to the previous patient. OBJECTIVE The planned review aims to systematically summarize, map, and describe existing evidence to understand how patient similarity is defined and used in cancer research and clinical care. METHODS To systematically identify relevant studies and to ensure reproducibility and transparency of the review process, a comprehensive literature search will be conducted in several bibliographic databases, including Web of Science, PubMed, LIVIVIVO, and MEDLINE, covering the period from 1998 to February 2024. After the initial duplicate deletion phase, a study selection phase will be applied using Rayyan, which consists of 3 distinct steps: title and abstract screening, disagreement resolution, and full-text screening. To ensure the integrity and quality of the selection process, each of these steps is preceded by a pilot testing phase. This methodological process will culminate in the presentation of the final research results in a structured form according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) flowchart. The protocol has been registered in the Journal of Medical Internet Research. RESULTS This protocol outlines the methodologies used in conducting the scoping review. A search of the specified electronic databases and after removing duplicates resulted in 1183 unique records. As of March 2024, the review process has moved to the full-text evaluation phase. At this stage, data extraction will be conducted using a pretested chart template. CONCLUSIONS The scoping review protocol, centered on these main concepts, aims to systematically map the available evidence on patient similarity among patients with cancer. By defining the types of data sources, approaches, and methods used in the field, and aligning these with the research questions, the review will provide a foundation for future research and clinical application in personalized cancer care. This protocol will guide the literature search, data extraction, and synthesis of findings to achieve the review's objectives. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/58705.
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Affiliation(s)
- Iryna Manuilova
- Junior Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Data Integration Centre, University Hospital Halle (Saale), Halle (Saale), Germany
| | - Jan Bossenz
- Junior Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Annemarie Bianka Weise
- Junior Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Dominik Boehm
- Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung), Erlangen, Germany
| | - Cosima Strantz
- Medical Informatics, Institute for Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Philipp Unberath
- Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- SRH Fürth University of Applied Sciences, Fürth, Germany
| | - Niklas Reimer
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
- University Cancer Center Schleswig-Holstein, University Hospital Schleswig-Holstein, Lübeck, Germany
- Medical Data Integration Center, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Patrick Metzger
- Institute of Medical Bioinformatics and Systems Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Clinical Trial Office, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
| | - Thomas Pauli
- Institute of Medical Bioinformatics and Systems Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Silke D Werle
- Institute of Medical Systems Biology, Ulm University, Ulm, Germany
| | - Susann Schulze
- Krukenberg Cancer Center Halle (Saale), Halle (Saale), Germany
| | - Sonja Hiemer
- Krukenberg Cancer Center Halle (Saale), Halle (Saale), Germany
| | - Arsenij Ustjanzew
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Hans A Kestler
- Institute of Medical Systems Biology, Ulm University, Ulm, Germany
| | - Hauke Busch
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
- University Cancer Center Schleswig-Holstein, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Benedikt Brors
- Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Medical Faculty Heidelberg and Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Jan Christoph
- Junior Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Data Integration Centre, University Hospital Halle (Saale), Halle (Saale), Germany
- Medical Informatics, Institute for Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Wenger LE, Barrett DR, Rhon DI, Young JL. Evaluating and Characterizing the Scope of Care for Interventions Labeled as Manual Therapy in Low Back Pain Trials: A Scoping Review. Phys Ther 2024; 104:pzad178. [PMID: 38157290 DOI: 10.1093/ptj/pzad178] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 07/07/2023] [Accepted: 11/17/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE The purpose of this scoping review was to evaluate and characterize the scope of care for low back pain that falls under the specific label of manual therapy. METHODS PubMed database, Ovid MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CENTRAL), and SPORTDiscus were searched from journal inception through May 2022 for randomized controlled trials that investigated the treatment of low back pain using manual therapy. Terminology used to define manual therapy was extracted and categorized by using only the words included in the description of the intervention. An expert consultation phase was undertaken to gather feedback. RESULTS One hundred seventy-six trials met final inclusion criteria, and 169 unique terms labeled as manual therapy for the treatment of low back pain were found. The most frequent terms were mobilization (29.0%), manipulation (16.0%), and thrust (6.4%). Eight percent of trials did not define or specify what type of manual therapy was used in the study. After removing duplicates, 169 unique terms emerged within 18 categories. CONCLUSIONS Manual therapy intervention labels used in low back pain trials are highly variable. With such variation, the heterogeneity of the intervention in trials is likely large, and the likelihood that different trials are comparing the same interventions is low. Researchers should consider being more judicious with the use of the term manual therapy and provide greater detail in titles, methods, and supplementary appendices in order to improve clarity, clinical applicability, and usefulness of future research. IMPACT The ability to interpret and apply findings from manual therapy-related research for low back pain is challenging due to the heterogeneity of interventions under this umbrella term. A clear use of terminology and description of interventions by researchers will allow for improved understanding for the role of manual therapy in managing back pain.
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Affiliation(s)
- Laura E Wenger
- Department of Physical Therapy, Bellin College, Green Bay, Wisconsin, USA
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, Utah, USA
| | - Dustin R Barrett
- Department of Physical Therapy, Bellin College, Green Bay, Wisconsin, USA
- Department of Physical Therapy, Emory and Henry College, Marion, Virginia, USA
| | - Daniel I Rhon
- Department of Physical Therapy, Bellin College, Green Bay, Wisconsin, USA
- Department of Rehabilitation Medicine, School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland, USA
| | - Jodi L Young
- Department of Physical Therapy, Bellin College, Green Bay, Wisconsin, USA
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Zolotarev O, Khakimova A, Rahim F, Senel E, Zatsman I, Gu D. Scientometric analysis of trends in global research on acne treatment. Int J Womens Dermatol 2023; 9:e082. [PMID: 37521754 PMCID: PMC10378739 DOI: 10.1097/jw9.0000000000000082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/12/2023] [Indexed: 08/01/2023] Open
Abstract
Acne or acne vulgaris is the most common chronic inflammatory disease of the sebaceous follicles. Objectives The present study aims to identify the main lines of research in the field of acne treatment using reproducible scientometric methods. In this article, we reviewed the following research trends: facial acne, different antibiotics, retinoids, anti-inflammatory drugs, epidermal growth factor receptor inhibitors therapy, and associated diseases. Methods The analysis of publications from the PubMed collection was carried out from 1871 to 2022. All data were analyzed using Microsoft Excel. The evolution of the terminological portrait of the disease is shown. Results Trends in the use of various groups of antibiotics, retinoids, anti-inflammatory drugs, and photodynamic therapy for acne treatment have been found. There is a growing interest in clindamycin and doxycycline (polynomial and exponential growth, respectively). The effects of isotretinoin are also being studied more frequently (active linear growth). The publication of studies on spironolactone is increasing (linear growth). There is also a steady interest in the use of epidermal growth factor receptor inhibitors in the recent years. There is active research on acne and polycystic ovary syndrome (exponential growth). Limitations Only articles in English were selected. The most frequent terms were considered. Conclusions The dynamics of publication activity in the field of acne was considered. The aim of the current scientometric study was to analyze the global trends in acne treatments. The trend analysis made it possible to identify the most explored areas of research, as well as indicate those areas in dermatology in which interest is declining.
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Affiliation(s)
- Oleg Zolotarev
- Institute of Information Systems and Engineering Computer Technologies, Russian New University, Moscow, Russia
| | - Aida Khakimova
- Institute of Information Systems and Engineering Computer Technologies, Russian New University, Moscow, Russia
| | - Fakher Rahim
- Department of Anesthesia, Cihan University - Sulaimaniya, Kurdistan Region, Iraq
| | - Engin Senel
- Department of Dermatology and Venereology, Hitit University Faculty of Medicine, Corum, Turkey
| | - Igor Zatsman
- Research Department, Institute of Informatics Problems FRC CSC RAS, Moscow, Russia
| | - Dongxiao Gu
- MIS School of Management, Hefei University of Technology, Hefei, Anhui, China
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Mahmood S, Nona P, Villablanca P, Nunez-Gil I, Ramakrishna H. The Meta-Analysis in Evidence-Based Medicine: High-Quality Research When Properly Performed. J Cardiothorac Vasc Anesth 2021; 35:2556-2558. [PMID: 34127359 DOI: 10.1053/j.jvca.2021.05.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 05/10/2021] [Indexed: 11/11/2022]
Affiliation(s)
- Shazil Mahmood
- Division of General Internal Medicine, Department of Internal Medicine, Henry Ford Health Systems, Detroit, MI
| | - Paul Nona
- Division of Cardiology, Department of Internal Medicine, Henry Ford Health Systems, Detroit, MI
| | - Pedro Villablanca
- Interventional Cardiology, The Center for Structural Heart Disease, Henry Ford Hospital, Detroit, MI
| | - Ivan Nunez-Gil
- Interventional Cardiology, Cardiovascular Institute, Hospital Clinico San Carlos, Madrid, Spain
| | - Harish Ramakrishna
- Division of Cardiovascular and Thoracic Anesthesiology, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
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Burns CS, Nix T, Shapiro RM, Huber JT. MEDLINE search retrieval issues: A longitudinal query analysis of five vendor platforms. PLoS One 2021; 16:e0234221. [PMID: 33956834 PMCID: PMC8101950 DOI: 10.1371/journal.pone.0234221] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 03/28/2021] [Indexed: 11/18/2022] Open
Abstract
This study compared the results of data collected from a longitudinal query analysis of the MEDLINE database hosted on multiple platforms that include PubMed, EBSCOHost, Ovid, ProQuest, and Web of Science. The goal was to identify variations among the search results on the platforms after controlling for search query syntax. We devised twenty-nine cases of search queries comprised of five semantically equivalent queries per case to search against the five MEDLINE database platforms. We ran our queries monthly for a year and collected search result count data to observe changes. We found that search results varied considerably depending on MEDLINE platform. Reasons for variations were due to trends in scholarly publication such as publishing individual papers online first versus complete issues. Some other reasons were metadata differences in bibliographic records; differences in the levels of specificity of search fields provided by the platforms and large fluctuations in monthly search results based on the same query. Database integrity and currency issues were observed as each platform updated its MEDLINE data throughout the year. Specific biomedical bibliographic databases are used to inform clinical decision-making, create systematic reviews, and construct knowledge bases for clinical decision support systems. They serve as essential information retrieval and discovery tools to help identify and collect research data and are used in a broad range of fields and as the basis of multiple research designs. This study should help clinicians, researchers, librarians, informationists, and others understand how these platforms differ and inform future work in their standardization.
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Affiliation(s)
- C. Sean Burns
- School of Information Science, University of Kentucky, Lexington, Kentucky, United States of America
- * E-mail:
| | - Tyler Nix
- Taubman Health Sciences Library, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Robert M. Shapiro
- Robert M. Fales Health Sciences Library - SEAHEC Medical Library, South East Area Health Education Center, Wilmington, North Carolina, United States of America
| | - Jeffrey T. Huber
- School of Information Science, University of Kentucky, Lexington, Kentucky, United States of America
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Daniel J, Capin P, Steinle P. A Synthesis of the Sustainability of Remedial Reading Intervention Effects for Struggling Adolescent Readers. JOURNAL OF LEARNING DISABILITIES 2021; 54:170-186. [PMID: 33251955 PMCID: PMC8500577 DOI: 10.1177/0022219420972184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
A majority of reading-related intervention studies aiming to remediate struggling readers' reading outcomes assess student performance immediately following the conclusion of an intervention to determine intervention effects. Few studies collect follow-up data to measure the long-term sustainability of treatment effects. Hence, the aim of the current synthesis was to examine follow-up intervention effects of reading interventions involving adolescent struggling readers in Grades 6 to 12. Our literature search yielded only 10 studies that reported follow-up data for intervention participants, which highlights the dearth of intervention research that examines sustainability of intervention effects. Of the 10 included studies, the weighted mean effect size for all reading outcome measures was gw = 0.78 at immediate posttest and gw = 0.27 at follow-up, in favor of treatment group students. Although the magnitude of difference between treatment and control groups diminished at follow-up time, a comparison of treatment group students' immediate posttest and follow-up scores showed that students mostly maintained gains made during intervention at follow-up time points.
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