Literature DB >> 32041094

Clinical Decision Support Systems in Breast Cancer: A Systematic Review.

Claudia Mazo1,2,3, Cathriona Kearns3,4, Catherine Mooney1, William M Gallagher3,4.   

Abstract

Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million new diagnoses worldwide every year. Personalised treatment is critical to optimising outcomes for patients with breast cancer. A major advance in medical practice is the incorporation of Clinical Decision Support Systems (CDSSs) to assist and support healthcare staff in clinical decision-making, thus improving the quality of decisions and overall patient care whilst minimising costs. The usage and availability of CDSSs in breast cancer care in healthcare settings is increasing. However, there may be differences in how particular CDSSs are developed, the information they include, the decisions they recommend, and how they are used in practice. This systematic review examines various CDSSs to determine their availability, intended use, medical characteristics, and expected outputs concerning breast cancer therapeutic decisions, an area that is known to have varying degrees of subjectivity in clinical practice. Utilising the methodology of Kitchenham and Charter, a systematic search of the literature was performed in Springer, Science Direct, Google Scholar, PubMed, ACM, IEEE, and Scopus. An overview of CDSS which supports decision-making in breast cancer treatment is provided along with a critical appraisal of their benefits, limitations, and opportunities for improvement.

Entities:  

Keywords:  breast cancer; breast cancer treatment; clinical decision support system (CDSS); decision support system (DSS); systematic review

Year:  2020        PMID: 32041094     DOI: 10.3390/cancers12020369

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  9 in total

1.  Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients.

Authors:  Sylvia Pelayo; Jacques Bouaud; Claudia Blancafort; Jean-Baptiste Lamy; Booma Devi Sekar; Nekane Larburu; Naiara Muro; Ander Urruticoechea Ribate; Jon Belloso; Guillermo Valderas; Sara Guardiola; Charlotte Ngo; Luis Teixeira; Gilles Guézennec; Brigitte Séroussi
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Molecular Cytogenomic Characterization of the Murine Breast Cancer Cell Lines C-127I, EMT6/P and TA3 Hauschka.

Authors:  Shaymaa Azawi; Thomas Liehr; Martina Rincic; Mattia Manferrari
Journal:  Int J Mol Sci       Date:  2020-07-01       Impact factor: 5.923

3.  Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in ER-positive, HER2-negative Breast Cancer Patients.

Authors:  Claudia Mazo; Stephen Barron; Catherine Mooney; William M Gallagher
Journal:  Cancers (Basel)       Date:  2020-05-01       Impact factor: 6.639

4.  Predicting of Sentinel Lymph Node Status in Breast Cancer Patients with Clinically Negative Nodes: A Validation Study.

Authors:  Annarita Fanizzi; Domenico Pomarico; Angelo Paradiso; Samantha Bove; Sergio Diotaiuti; Vittorio Didonna; Francesco Giotta; Daniele La Forgia; Agnese Latorre; Maria Irene Pastena; Pasquale Tamborra; Alfredo Zito; Vito Lorusso; Raffaella Massafra
Journal:  Cancers (Basel)       Date:  2021-01-19       Impact factor: 6.639

5.  Development of a Prognostic App (iCanPredict) to Predict Survival for Chinese Women With Breast Cancer: Retrospective Study.

Authors:  Zhuo Ma; Sijia Huang; Xiaoqing Wu; Yinying Huang; Sally Wai-Chi Chan; Yilan Lin; Xujuan Zheng; Jiemin Zhu
Journal:  J Med Internet Res       Date:  2022-03-09       Impact factor: 7.076

6.  Decision-making about mastectomy among Chinese women with breast cancer: a mixed-methods study protocol.

Authors:  Jing Liu; Sharyn Hunter; Dongmei Guo; Qin Lin; Jiemin Zhu; Regina Lai-Tong Lee; Sally Wai-Chi Chan
Journal:  BMJ Open       Date:  2022-04-20       Impact factor: 3.006

Review 7.  Emerging role of pioneer transcription factors in targeted ERα positive breast cancer.

Authors:  Honey Pavithran; Ranjith Kumavath
Journal:  Explor Target Antitumor Ther       Date:  2021-02-28

8.  Application of Clinical Decision Support System to Assist Breast Cancer Patients with Lifestyle Modifications during the COVID-19 Pandemic: A Randomised Controlled Trial.

Authors:  Panos Papandreou; Aristea Gioxari; Frantzeska Nimee; Maria Skouroliakou
Journal:  Nutrients       Date:  2021-06-20       Impact factor: 5.717

9.  Decision-support tools via mobile devices to improve quality of care in primary healthcare settings.

Authors:  Smisha Agarwal; Claire Glenton; Tigest Tamrat; Nicholas Henschke; Nicola Maayan; Marita S Fønhus; Garrett L Mehl; Simon Lewin
Journal:  Cochrane Database Syst Rev       Date:  2021-07-27
  9 in total

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