Literature DB >> 28358653

Untapped Potential of Observational Research to Inform Clinical Decision Making: American Society of Clinical Oncology Research Statement.

Kala Visvanathan1, Laura A Levit1, Derek Raghavan1, Clifford A Hudis1, Sandra Wong1, Amylou Dueck1, Gary H Lyman1.   

Abstract

ASCO believes that high-quality observational studies can advance evidence-based practice for cancer care and are complementary to randomized controlled trials (RCTs). Observational studies can generate hypotheses by evaluating novel exposures or biomarkers and by revealing patterns of care and relationships that might not otherwise be discovered. Researchers can then test these hypotheses in RCTs. Observational studies can also answer or inform questions that either have not been or cannot be answered by RCTs. In addition, observational studies can be used for postmarketing surveillance of new cancer treatments, particularly in vulnerable populations. The incorporation of observational research as part of clinical decision making is consistent with the position of many leading institutions. ASCO identified five overarching recommendations to enhance the role of observational research in clinical decision making: (1) improve the quality of electronic health data available for research, (2) improve interoperability and the exchange of electronic health information, (3) ensure the use of rigorous observational research methodologies, (4) promote transparent reporting of observational research studies, and (5) protect patient privacy.

Entities:  

Mesh:

Year:  2017        PMID: 28358653     DOI: 10.1200/JCO.2017.72.6414

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  23 in total

1.  Comparison of Population-Based Observational Studies With Randomized Trials in Oncology.

Authors:  Payal D Soni; Holly E Hartman; Robert T Dess; Ahmed Abugharib; Steven G Allen; Felix Y Feng; Anthony L Zietman; Reshma Jagsi; Matthew J Schipper; Daniel E Spratt
Journal:  J Clin Oncol       Date:  2019-03-21       Impact factor: 44.544

2.  A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time.

Authors:  Anna Ostropolets; Linying Zhang; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

3.  A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

Authors:  Qingxing Tan; Andy Jinhua Ma; Huiqi Deng; Vincent Wai-Sun Wong; Yee-Kit Tse; Terry Cheuk-Fung Yip; Grace Lai-Hung Wong; Jessica Yuet-Ling Ching; Francis Ka-Leung Chan; Pong-Chi Yuen
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

4.  Long-Term Outcomes in Laparoscopic D2 Gastrectomy for Gastric Cancer: a Large Comprehensive Study Proposing Novel Hypotheses.

Authors:  Lei Huang; Hao Liu; Jiang Yu; Tian Lin; Yan-Feng Hu; Tuan-Jie Li; Guo-Xin Li
Journal:  J Gastrointest Surg       Date:  2018-11-26       Impact factor: 3.452

5.  Healthcare Funding Decisions and Real-World Benefits: Reducing Bias by Matching Untreated Patients.

Authors:  Peter Ghijben; Dennis Petrie; Silva Zavarsek; Gang Chen; Emily Lancsar
Journal:  Pharmacoeconomics       Date:  2021-04-09       Impact factor: 4.981

Review 6.  The opportunities and shortcomings of using big data and national databases for sarcoma research.

Authors:  Heather G Lyu; Adil H Haider; Adam B Landman; Chandrajit P Raut
Journal:  Cancer       Date:  2019-05-15       Impact factor: 6.860

7.  Learning health care systems: Highly needed but challenging.

Authors:  Roel H P Wouters; Rieke van der Graaf; Emile E Voest; Annelien L Bredenoord
Journal:  Learn Health Syst       Date:  2020-01-13

8.  Association Between Autologous Stem Cell Transplant and Survival Among Californians With Multiple Myeloma.

Authors:  Aaron S Rosenberg; Ann Brunson; Brian A Jonas; Theresa H M Keegan; Ted Wun
Journal:  J Natl Cancer Inst       Date:  2019-01-01       Impact factor: 13.506

9.  Patterns of care and outcomes in adolescent and young adult acute lymphoblastic leukemia: a population-based study.

Authors:  Lori Muffly; Elysia Alvarez; Daphne Lichtensztajn; Renata Abrahão; Scarlett Lin Gomez; Theresa Keegan
Journal:  Blood Adv       Date:  2018-04-24

10.  The Oncology Data Network (ODN): Methodology, Challenges, and Achievements.

Authors:  Ashley Woolmore; Dirk Arnold; Jean-Yves Blay; Christian Buske; Alfredo Carrato; Winald Gerritsen; Marc Peeters; Jesus Garcia-Foncillas; David Kerr
Journal:  Oncologist       Date:  2020-05-21       Impact factor: 5.837

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