Literature DB >> 28916488

Decision making about healthcare-related tests and diagnostic test strategies. Paper 2: a review of methodological and practical challenges.

Reem A Mustafa1, Wojtek Wiercioch2, Adrienne Cheung3, Barbara Prediger4, Jan Brozek5, Patrick Bossuyt6, Amit X Garg7, Monika Lelgemann8, Diedrich Büehler9, Holger J Schünemann10.   

Abstract

OBJECTIVES: In this first of a series of five articles, we provide an overview of how and why healthcare-related tests and diagnostic strategies are currently applied. We also describe how our findings can be integrated with existing frameworks for making decisions that guide the use of healthcare-related tests and diagnostic strategies. STUDY DESIGN AND
SETTING: We searched MEDLINE, references of identified articles, chapters in relevant textbooks, and identified articles citing classic literature on this topic.
RESULTS: We provide updated frameworks for the potential roles and applications of tests with suggested definitions and practical examples. We also discuss study designs that are commonly used to assess tests' performance and the effects of tests on people's health. These designs include diagnostic randomized controlled trials and retrospective validation. We describe the utility of these and other currently suggested designs, which questions they can answer and which ones they cannot. In addition, we summarize the challenges unique to decision-making resulting from the use of tests.
CONCLUSION: This overview highlights current challenges in the application of tests in decision-making in healthcare, provides clarifications, and informs the proposed solutions.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Challenges; Decision-making; Diagnosis; GRADE; Guidelines; Methodology; Tests

Mesh:

Year:  2017        PMID: 28916488     DOI: 10.1016/j.jclinepi.2017.09.003

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  7 in total

1.  American Society of Hematology 2019 guidelines for sickle cell disease: cardiopulmonary and kidney disease.

Authors:  Robert I Liem; Sophie Lanzkron; Thomas D Coates; Laura DeCastro; Ankit A Desai; Kenneth I Ataga; Robyn T Cohen; Johnson Haynes; Ifeyinwa Osunkwo; Jeffrey D Lebensburger; James P Lash; Theodore Wun; Madeleine Verhovsek; Elodie Ontala; Rae Blaylark; Fares Alahdab; Abdulrahman Katabi; Reem A Mustafa
Journal:  Blood Adv       Date:  2019-12-10

2.  2019 sickle cell disease guidelines by the American Society of Hematology: methodology, challenges, and innovations.

Authors:  M Hassan Murad; Robert I Liem; Eddy S Lang; Elie A Akl; Joerg J Meerpohl; Michael R DeBaun; John F Tisdale; Amanda M Brandow; Sophie M Lanzkron; Stella T Chou; Starr Webb; Reem A Mustafa
Journal:  Blood Adv       Date:  2019-12-10

3.  Current methods for development of rapid reviews about diagnostic tests: an international survey.

Authors:  Ingrid Arevalo-Rodriguez; Karen R Steingart; Andrea C Tricco; Barbara Nussbaumer-Streit; David Kaunelis; Pablo Alonso-Coello; Susan Baxter; Patrick M Bossuyt; José Ignacio Emparanza; Javier Zamora
Journal:  BMC Med Res Methodol       Date:  2020-05-13       Impact factor: 4.615

4.  Serum IL-6 in combination with synovial IL-6/CRP shows excellent diagnostic power to detect hip and knee prosthetic joint infection.

Authors:  Jiri Gallo; Michal Svoboda; Jana Zapletalova; Jitka Proskova; Jarmila Juranova
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

5.  Evaluating diagnostic strategies for early detection of cancer: the CanTest framework.

Authors:  Fiona M Walter; Matthew J Thompson; Ian Wellwood; Gary A Abel; William Hamilton; Margaret Johnson; Georgios Lyratzopoulos; Michael P Messenger; Richard D Neal; Greg Rubin; Hardeep Singh; Anne Spencer; Stephen Sutton; Peter Vedsted; Jon D Emery
Journal:  BMC Cancer       Date:  2019-06-14       Impact factor: 4.430

6.  An algorithm for the classification of study designs to assess diagnostic, prognostic and predictive test accuracy in systematic reviews.

Authors:  Tim Mathes; Dawid Pieper
Journal:  Syst Rev       Date:  2019-09-03

7.  The predictive potential of different molecular markers linked to amikacin susceptibility phenotypes in Pseudomonas aeruginosa.

Authors:  Wedad M Nageeb; Helal F Hetta
Journal:  PLoS One       Date:  2022-04-25       Impact factor: 3.752

  7 in total

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