دورية أكاديمية
أعرض في EDS

Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes.

التفاصيل البيبلوغرافية
العنوان: Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes.
المؤلفون: Leis A; Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Barcelona, Spain.; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain., Casadevall D; Cancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.; Medical Oncology Department, Hospital del Mar, Barcelona, Spain., Albanell J; Cancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.; Medical Oncology Department, Hospital del Mar, Barcelona, Spain., Posso M; Department of Epidemiology, Hospital del Mar Research Institute, Barcelona, Spain.; Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), Barcelona, Spain., Macià F; Department of Epidemiology, Hospital del Mar Research Institute, Barcelona, Spain.; Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), Barcelona, Spain., Castells X; Department of Epidemiology, Hospital del Mar Research Institute, Barcelona, Spain.; Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), Barcelona, Spain., Ramírez-Anguita JM; Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Barcelona, Spain.; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain., Martínez Roldán J; Innovation and Digital Transformation Area, Hospital del Mar, Barcelona, Spain., Furlong LI; Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Barcelona, Spain.; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain., Sanz F; Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Barcelona, Spain.; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain., Ronzano F; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain., Mayer MA; Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Barcelona, Spain.; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
المصدر: JMIR cancer [JMIR Cancer] 2022 Jul 11; Vol. 8 (3), pp. e39003. Date of Electronic Publication: 2022 Jul 11.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101666844 Publication Model: Electronic Cited Medium: Print ISSN: 2369-1999 (Print) Linking ISSN: 23691999 NLM ISO Abbreviation: JMIR Cancer Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Toronto, ON : JMIR Publications, [2015]-
مستخلص: Background: A cancer diagnosis is a source of psychological and emotional stress, which are often maintained for sustained periods of time that may lead to depressive disorders. Depression is one of the most common psychological conditions in patients with cancer. According to the Global Cancer Observatory, breast and colorectal cancers are the most prevalent cancers in both sexes and across all age groups in Spain.
Objective: This study aimed to compare the prevalence of depression in patients before and after the diagnosis of breast or colorectal cancer, as well as to assess the usefulness of the analysis of free-text clinical notes in 2 languages (Spanish or Catalan) for detecting depression in combination with encoded diagnoses.
Methods: We carried out an analysis of the electronic health records from a general hospital by considering the different sources of clinical information related to depression in patients with breast and colorectal cancer. This analysis included ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification) diagnosis codes and unstructured information extracted by mining free-text clinical notes via natural language processing tools based on Systematized Nomenclature of Medicine Clinical Terms that mentions symptoms and drugs used for the treatment of depression.
Results: We observed that the percentage of patients diagnosed with depressive disorders significantly increased after cancer diagnosis in the 2 types of cancer considered-breast and colorectal cancers. We managed to identify a higher number of patients with depression by mining free-text clinical notes than the group selected exclusively on ICD-9-CM codes, increasing the number of patients diagnosed with depression by 34.8% (441/1269). In addition, the number of patients with depression who received chemotherapy was higher than those who did not receive this treatment, with significant differences (P<.001).
Conclusions: This study provides new clinical evidence of the depression-cancer comorbidity and supports the use of natural language processing for extracting and analyzing free-text clinical notes from electronic health records, contributing to the identification of additional clinical data that complements those provided by coded data to improve the management of these patients.
(©Angela Leis, David Casadevall, Joan Albanell, Margarita Posso, Francesc Macià, Xavier Castells, Juan Manuel Ramírez-Anguita, Jordi Martínez Roldán, Laura I Furlong, Ferran Sanz, Francesco Ronzano, Miguel A Mayer. Originally published in JMIR Cancer (https://cancer.jmir.org), 11.07.2022.)
References: J R Soc Med. 2003 Dec;96(12):577-81. (PMID: 14645605)
J Am Med Inform Assoc. 2019 Apr 1;26(4):364-379. (PMID: 30726935)
Am J Clin Oncol. 2019 Apr;42(4):355-362. (PMID: 30844850)
J Med Syst. 2018 May 31;42(7):126. (PMID: 29855732)
J Am Geriatr Soc. 2018 Aug;66(8):1499-1507. (PMID: 29972595)
Eur J Cancer Care (Engl). 2010 Jul;19(4):522-9. (PMID: 20030697)
EJC Suppl. 2013 Sep;11(2):205-15. (PMID: 26217129)
JMIR Med Inform. 2021 Aug 4;9(8):e27842. (PMID: 34346902)
Psychiatry Res. 2016 Jun 30;240:343-347. (PMID: 27138829)
Psychol Med. 2010 Nov;40(11):1797-810. (PMID: 20085667)
BMC Cancer. 2010 Oct 20;10:569. (PMID: 20961421)
Stud Health Technol Inform. 2017;235:236-240. (PMID: 28423789)
J Clin Oncol. 2014 Nov 1;32(31):3540-6. (PMID: 25287821)
Evid Based Ment Health. 2020 Feb;23(1):21-26. (PMID: 32046989)
Breast Cancer Res Treat. 2019 Aug;176(3):519-533. (PMID: 31087199)
Int J Environ Res Public Health. 2019 Jan 31;16(3):. (PMID: 30709020)
Adv Exp Med Biol. 2016;939:139-166. (PMID: 27807747)
J Clin Oncol. 2012 Apr 10;30(11):1187-96. (PMID: 22412144)
CA Cancer J Clin. 2021 May;71(3):209-249. (PMID: 33538338)
J Affect Disord. 2012 Dec 10;141(2-3):343-51. (PMID: 22727334)
Eur J Cancer Care (Engl). 2019 Sep;28(5):e13129. (PMID: 31290218)
BMC Med Inform Decis Mak. 2019 Jul 9;19(1):128. (PMID: 31288818)
J Clin Oncol. 2008 Oct 10;26(29):4731-8. (PMID: 18695257)
BMJ Open. 2014 Mar 13;4(3):e003901. (PMID: 24625637)
Cancer. 2009 Nov 15;115(22):5349-61. (PMID: 19753617)
JMIR Med Inform. 2019 Apr 27;7(2):e12239. (PMID: 31066697)
Rev Esp Enferm Dig. 2012 Dec;104(11):572-7. (PMID: 23368648)
Am J Med Genet B Neuropsychiatr Genet. 2018 Oct;177(7):601-612. (PMID: 28557243)
Nat Rev Genet. 2012 May 02;13(6):395-405. (PMID: 22549152)
Oncol Lett. 2015 Apr;9(4):1509-1514. (PMID: 25788991)
J Gastrointest Oncol. 2017 Feb;8(1):81-88. (PMID: 28280612)
Asian Pac J Cancer Prev. 2018 Jun 25;19(6):1661-1669. (PMID: 29938451)
JAMA Oncol. 2016 Jun 1;2(6):797-804. (PMID: 27124593)
BMJ Open. 2017 Jan 17;7(1):e012012. (PMID: 28096249)
فهرسة مساهمة: Keywords: cancer; depression; electronic health records; natural language processing; text mining
تواريخ الأحداث: Date Created: 20220711 Latest Revision: 20220910
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9315897
DOI: 10.2196/39003
PMID: 35816382
قاعدة البيانات: MEDLINE
الوصف
تدمد:2369-1999
DOI:10.2196/39003