Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms

Abstract Purpose The main goal of this study is to discover the scientific evolution of Cancer-Related Symptoms in Complementary and Alternative Medicine research area, analyzing the articles indexed in the Web of Science database from 1980 to 2013. Design/Methodology/Approach A co-word science mapping analysis is performed under a longitudinal framework (1980 to 2013). The documental corpus is divided into two subperiods, 1980–2008 and 2009–2013. Thus, the performance and impact rates, and conceptual evolution of the research field are shown. Findings According to the results, the co-word analysis allows us to identify 12 main thematic areas in this emerging research field: anxiety, survivors and palliative care, meditation, treatment, symptoms and cancer types, postmenopause, cancer pain, low back pain, herbal medicine, children, depression and insomnia, inflammation mediators, and lymphedema. The different research lines are identified according to the main thematic areas, centered fundamentally on anxiety and suffering prevention. The scientific community can use this information to identify where the interest is focused and make decisions in different ways. Research limitation Several limitations can be addressed: 1) some of the Complementary and Alternative Medicine therapies may not have been included; 2) only the documents indexed in Web of Science are analyzed; and 3) the thematic areas detected could change if another dataset was considered. Practical implications The results obtained in the present study could be considered as an evidence-based framework in which future studies could be built. Originality/value Currently, there are no studies that show the thematic evolution of this research area.

[1]  Antonio Santisteban-Espejo,et al.  Global Tissue Engineering Trends: A Scientometric and Evolutive Study. , 2018, Tissue engineering. Part A.

[2]  Enrique Herrera-Viedma,et al.  Highly cited papers in rheumatology: identification and conceptual analysis , 2018, Scientometrics.

[3]  Enrique Herrera-Viedma,et al.  An Overview of Thematic Evolution of Physical Therapy Research Area From 1951 to 2013 , 2018, Front. Res. Metr. Anal..

[4]  M. Bennett,et al.  Opioids combined with antidepressants or antiepileptic drugs for cancer pain: Systematic review and meta-analysis , 2018, Palliative medicine.

[5]  Enrique Herrera-Viedma,et al.  Some bibliometric procedures for analyzing and evaluating research fields , 2017, Applied Intelligence.

[6]  Alberto Cambrosio,et al.  Oncology research in late twentieth century and turn of the century Portugal: a scientometric approach to its institutional and semantic dimensions , 2017, Scientometrics.

[7]  M. Chun,et al.  Depression and insomnia as mediators of the relationship between distress and quality of life in cancer patients. , 2017, Journal of affective disorders.

[8]  G. Dobos,et al.  Mindfulness-based interventions for women with breast cancer: an updated systematic review and meta-analysis , 2017, Acta oncologica.

[9]  Pei-Shan Tsai,et al.  Systematic review and meta‐analysis of acupuncture to reduce cancer‐related pain , 2017, European journal of cancer care.

[10]  C. Sharpley,et al.  Measuring depression in prostate cancer patients: does the scale used make a difference? , 2017, European journal of cancer care.

[11]  H. Charalambous,et al.  The impact of specialized palliative care on cancer patients’ health-related quality of life: a systematic review and meta-analysis , 2017, Supportive Care in Cancer.

[12]  V. Christophe,et al.  Impact of emotional competence on supportive care needs, anxiety and depression symptoms of cancer patients: a multiple mediation model , 2017, Supportive Care in Cancer.

[13]  Zaida Chinchilla-Rodríguez,et al.  How to Combine Research Guarantor and Collaboration Patterns to Measure Scientific Performance of Countries in Scientific Fields: Nanoscience and Nanotechnology as a Case Study , 2016, Front. Res. Metr. Anal.

[14]  K. Foley,et al.  The 100 most cited articles investigating the radiological staging of oesophageal and junctional cancer: a bibliometric analysis , 2016, Insights into Imaging.

[15]  H. Cramer,et al.  Acupuncture and Related Therapies for Symptom Management in Palliative Cancer Care: Systematic Review and Meta-Analysis: Erratum , 2016, Medicine.

[16]  Mapping of Breast Cancer Research in India:A Bibliometric Analysis , 2016 .

[17]  W. Lewis,et al.  The 100 most influential manuscripts in gastric cancer: A bibliometric analysis. , 2016, International journal of surgery.

[18]  F. Walter,et al.  The role of emotions in time to presentation for symptoms suggestive of cancer: a systematic literature review of quantitative studies , 2015, Psycho-oncology.

[19]  Mingquan Zhou,et al.  Bibliometric analysis for the literature of traditional Chinese medicine in PubMed , 2015, Scientometrics.

[20]  C. Gutenbrunner,et al.  The influence of a multimodal therapy concept on health-related quality of life in breast cancer survivors with cancer-related fatigue in comparison to a standard aerobic therapy , 2015 .

[21]  Samah W. Al-Jabi,et al.  Scientific publications from Arab world in leading journals of Integrative and Complementary Medicine: a bibliometric analysis , 2015, BMC Complementary and Alternative Medicine.

[22]  S. Delaloge,et al.  Tendances et évolutions de la recherche française sur le cancer du sein : étude bibliométrique , 2015 .

[23]  Enrique Herrera-Viedma,et al.  25years at Knowledge-Based Systems , 2015 .

[24]  W. Willett,et al.  Short-term weight gain and breast cancer risk by hormone receptor classification among pre- and postmenopausal women , 2015, Breast Cancer Research and Treatment.

[25]  J. Heinrich,et al.  Utilization of complementary and alternative medicine (CAM) among children from a German birth cohort (GINIplus): patterns, costs, and trends of use , 2015, BMC Complementary and Alternative Medicine.

[26]  J. Araújo,et al.  The Role of the Mediators of Inflammation in Cancer Development , 2015, Pathology & Oncology Research.

[27]  Jianpin Liu,et al.  Defining integrative medicine in narrative and systematic reviews: A suggested checklist for reporting , 2015 .

[28]  J. Rasmussen,et al.  Recent progress in the treatment and prevention of cancer‐related lymphedema , 2015, CA: a cancer journal for clinicians.

[29]  Enrique Herrera-Viedma,et al.  25 years at Knowledge-Based Systems: A bibliometric analysis , 2015, Knowl. Based Syst..

[30]  E. Herrera‐Viedma,et al.  Analyzing the research in Integrative & Complementary Medicine by means of science mapping. , 2014, Complementary therapies in medicine.

[31]  Sandra Miguel,et al.  What factors affect the visibility of Argentinean publications in humanities and social sciences in Scopus? Some evidence beyond the geographic realm of research , 2014, Scientometrics.

[32]  Enrique Herrera-Viedma,et al.  H-Classics: characterizing the concept of citation classics through H-index , 2014, Scientometrics.

[33]  T. Hack,et al.  Citation analysis of Canadian psycho-oncology and supportive care researchers , 2014, Supportive Care in Cancer.

[34]  E. Feuer,et al.  Assessing non-cancer-related health status of US cancer patients: other-cause survival and comorbidity prevalence. , 2013, American journal of epidemiology.

[35]  A. Sikorskii,et al.  Self-reported use of complementary and alternative medicine therapies in a reflexology randomized clinical trial. , 2013, Alternative therapies in health and medicine.

[36]  Enrique Herrera-Viedma,et al.  SciMAT: A new science mapping analysis software tool , 2012, J. Assoc. Inf. Sci. Technol..

[37]  A. Jemal,et al.  Cancer treatment and survivorship statistics, 2012 , 2012, CA: a cancer journal for clinicians.

[38]  Eliza L.Y. Wong,et al.  Citation classics in the integrative and complementary medicine literature: 50 frequently cited articles , 2012 .

[39]  P. Ganz,et al.  Cancer survivorship and cancer rehabilitation: revitalizing the link. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[40]  Stefano Bonassi,et al.  Scientific production in cancer rehabilitation grows higher: a bibliometric analysis , 2012, Supportive Care in Cancer.

[41]  Xu Zhang,et al.  Bibliometric analysis of complementary and alternative medicine research over three decades , 2011, Scientometrics.

[42]  Francisco Herrera,et al.  Science mapping software tools: Review, analysis, and cooperative study among tools , 2011, J. Assoc. Inf. Sci. Technol..

[43]  Francisco Herrera,et al.  Journal of Informetrics , 2022 .

[44]  Francisco Herrera,et al.  h-Index: A review focused in its variants, computation and standardization for different scientific fields , 2009, J. Informetrics.

[45]  Rickard Danell,et al.  Publication activity in complementary and alternative medicine , 2009, Scientometrics.

[46]  Betsy Van der Veer Martens,et al.  Mapping research specialties , 2008, Annu. Rev. Inf. Sci. Technol..

[47]  Christian Sternitzke,et al.  Similarity measures for document mapping: A comparative study on the level of an individual scientist , 2007, Scientometrics.

[48]  Michael D Ross,et al.  Cancer as a cause of low back pain in a patient seen in a direct access physical therapy setting. , 2005, The Journal of orthopaedic and sports physical therapy.

[49]  J. Hirsch An index to quantify an individual's scientific output , 2005 .

[50]  Jean Pierre Courtial,et al.  Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry , 1991, Scientometrics.

[51]  Henk F. Moed,et al.  Handbook of Quantitative Science and Technology Research , 2005 .

[52]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..

[53]  C. Cleeland Cancer-related symptoms. , 2000, Seminars in radiation oncology.

[54]  Henry G. Small,et al.  Visualizing Science by Citation Mapping , 1999, J. Am. Soc. Inf. Sci..

[55]  Henk F. Moed,et al.  Combining Mapping and Citation Analysis for Evaluative Bibliometric Purposes: A Bibliometric Study , 1999, J. Am. Soc. Inf. Sci..

[56]  Neal S. Coulter,et al.  Software Engineering as Seen through Its Research Literature: A Study in Co-Word Analysis , 1998, J. Am. Soc. Inf. Sci..

[57]  E. Ernst The prevalence of complementary/Alternative medicine in cancer , 1998, Cancer.

[58]  M. Callon,et al.  From translations to problematic networks: An introduction to co-word analysis , 1983 .