Literature DB >> 29263940

Analysis of Temporal Constraints in Qualitative Eligibility Criteria of Cancer Clinical Studies.

Zhe He1, Zhiwei Chen2, Jiang Bian3.   

Abstract

Clinical studies, especially randomized controlled trials, generate gold-standard medical evidence. However, the lack of population representativeness of clinical studies has hampered their generalizability to the real-world population. Overly restrictive qualitative criteria are often applied to exclude patients. In this work, we develop a lexical-pattern-based tool to structure qualitative eligibility criteria with temporal constraints, with which we analyzed over 10,800 cancer clinical studies. Our results showed that restrictive temporal constraints are often applied on qualitative criteria in cancer studies, limiting the generalizability of their results.

Entities:  

Keywords:  clinical trial; generalizability; health informatics

Year:  2017        PMID: 29263940      PMCID: PMC5733789          DOI: 10.1109/BIBM.2016.7822607

Source DB:  PubMed          Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)        ISSN: 2156-1125


  14 in total

Review 1.  Trends in development and approval times for new therapeutics in the United States.

Authors:  Janice M Reichert
Journal:  Nat Rev Drug Discov       Date:  2003-09       Impact factor: 84.694

2.  A practical method for transforming free-text eligibility criteria into computable criteria.

Authors:  Samson W Tu; Mor Peleg; Simona Carini; Michael Bobak; Jessica Ross; Daniel Rubin; Ida Sim
Journal:  J Biomed Inform       Date:  2010-09-17       Impact factor: 6.317

3.  Adverse drug event surveillance and drug withdrawals in the United States, 1969-2002: the importance of reporting suspected reactions.

Authors:  Diane K Wysowski; Lynette Swartz
Journal:  Arch Intern Med       Date:  2005-06-27

4.  Assessing the population representativeness of colorectal cancer treatment clinical trials.

Authors:  Thomas J George; Gloria Lipori
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

5.  Underrepresentation of patients 65 years of age or older in cancer-treatment trials.

Authors:  L F Hutchins; J M Unger; J J Crowley; C A Coltman; K S Albain
Journal:  N Engl J Med       Date:  1999-12-30       Impact factor: 91.245

6.  Participation of patients 65 years of age or older in cancer clinical trials.

Authors:  Joy H Lewis; Meredith L Kilgore; Dana P Goldman; Edward L Trimble; Richard Kaplan; Michael J Montello; Michael G Housman; José J Escarce
Journal:  J Clin Oncol       Date:  2003-04-01       Impact factor: 44.544

7.  Enhancing reuse of structured eligibility criteria and supporting their relaxation.

Authors:  Krystyna Milian; Rinke Hoekstra; Anca Bucur; Annette Ten Teije; Frank van Harmelen; John Paulissen
Journal:  J Biomed Inform       Date:  2015-05-23       Impact factor: 6.317

8.  Participation of older people in preauthorization trials of recently approved medicines.

Authors:  Erna Beers; Dineke C Moerkerken; Hubert G M Leufkens; Toine C G Egberts; Paul A F Jansen
Journal:  J Am Geriatr Soc       Date:  2014-10-03       Impact factor: 5.562

Review 9.  Elderly patients' participation in clinical trials.

Authors:  Premnath Shenoy; Anand Harugeri
Journal:  Perspect Clin Res       Date:  2015 Oct-Dec

10.  Consumers' Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites.

Authors:  Min Sook Park; Zhe He; Zhiwei Chen; Sanghee Oh; Jiang Bian
Journal:  JMIR Med Inform       Date:  2016-11-24
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  1 in total

1.  Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.

Authors:  Anusha Bompelli; Jianfu Li; Yiqi Xu; Nan Wang; Yanshan Wang; Terrence Adam; Zhe He; Rui Zhang
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25
  1 in total

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