Literature DB >> 24679598

Diagnostic tests often fail to lead to changes in patient outcomes.

Konstantinos C Siontis1, George C M Siontis2, Despina G Contopoulos-Ioannidis3, John P A Ioannidis4.   

Abstract

OBJECTIVES: To evaluate the effects of diagnostic testing on patient outcomes in a large sample of diagnostic randomized controlled trials (D-RCTs) and to examine whether the effects for patient outcomes correlate with the effects on management and with diagnostic accuracy. STUDY DESIGN AND
SETTING: We considered D-RCTs that evaluated diagnostic interventions for any condition and reported effectiveness data on one or more patient outcomes. We calculated odds ratios for patient outcomes and outcomes pertaining to the use of further diagnostic and therapeutic interventions and the diagnostic odds ratio (DOR) for the accuracy of experimental tests.
RESULTS: One hundred forty trials (153 comparisons) were eligible. Patient outcomes were significantly improved in 28 comparisons (18%). There was no concordance in significance and direction of effects between the patient outcome and outcomes for use of further diagnostic or therapeutic interventions (weighted κ 0.02 and 0.09, respectively). The effect size for the patient outcome did not correlate with the effect sizes for use of further diagnostic (r = 0.05; P = 0.78) or therapeutic interventions (r = 0.18; P = 0.08) or the experimental intervention DOR in the same trial (r = -0.24; P = 0.51).
CONCLUSION: Few tests have well-documented benefits on patient outcomes. Diagnostic performance or the effects on management decisions are not necessarily indicative of patient benefits.
Copyright © 2014. Published by Elsevier Inc.

Entities:  

Keywords:  Diagnostic accuracy; Diagnostic odds ratio; Diagnostic tests; Empirical assessment; Patient outcomes; Randomized controlled trials

Mesh:

Year:  2014        PMID: 24679598     DOI: 10.1016/j.jclinepi.2013.12.008

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


  15 in total

1.  Intervention to reduce inappropriate ionized calcium ordering practices: a quality-improvement project.

Authors:  Darrell B Newman; Konstantinos C Siontis; Krishnaswamy Chandrasekaran; Allan S Jaffe; Deanne T Kashiwagi
Journal:  Perm J       Date:  2015

2.  A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning-Based Risk Prediction Models.

Authors:  Patricia J Rodriguez; David L Veenstra; Patrick J Heagerty; Christopher H Goss; Kathleen J Ramos; Aasthaa Bansal
Journal:  Value Health       Date:  2021-12-22       Impact factor: 5.101

Review 3.  Evidence-based medicine and big genomic data.

Authors:  John P A Ioannidis; Muin J Khoury
Journal:  Hum Mol Genet       Date:  2018-05-01       Impact factor: 6.150

4.  Stroke Imaging: Quantity, But is There Quality?

Authors:  Deborah A Levine; James F Burke
Journal:  Med Care       Date:  2016-05       Impact factor: 2.983

Review 5.  Outcomes of non-invasive diagnostic modalities for the detection of coronary artery disease: network meta-analysis of diagnostic randomised controlled trials.

Authors:  George Cm Siontis; Dimitris Mavridis; John P Greenwood; Bernadette Coles; Adriani Nikolakopoulou; Peter Jüni; Georgia Salanti; Stephan Windecker
Journal:  BMJ       Date:  2018-02-21

6.  Prognostic value of positron emission tomography myocardial perfusion imaging beyond traditional cardiovascular risk factors: Systematic review and meta-analysis.

Authors:  Konstantinos C Siontis; Panithaya Chareonthaitawee
Journal:  Int J Cardiol Heart Vasc       Date:  2015-01-09

Review 7.  Test-treatment RCTs are susceptible to bias: a review of the methodological quality of randomized trials that evaluate diagnostic tests.

Authors:  Lavinia Ferrante di Ruffano; Jacqueline Dinnes; Alice J Sitch; Chris Hyde; Jonathan J Deeks
Journal:  BMC Med Res Methodol       Date:  2017-02-24       Impact factor: 4.615

Review 8.  Impact of SMS/GPRS Printers in Reducing Time to Early Infant Diagnosis Compared With Routine Result Reporting: A Systematic Review and Meta-Analysis.

Authors:  Lara Vojnov; Jessica Markby; Caroline Boeke; Martina Penazzato; Brittany Urick; Anisa Ghadrshenas; Lindsay Harris; Nathan Ford; Trevor Peter
Journal:  J Acquir Immune Defic Syndr       Date:  2017-12-15       Impact factor: 3.731

9.  Setting a research agenda for medical overuse.

Authors:  Daniel J Morgan; Shannon Brownlee; Aaron L Leppin; Nancy Kressin; Sanket S Dhruva; Les Levin; Bruce E Landon; Mark A Zezza; Harald Schmidt; Vikas Saini; Adam G Elshaug
Journal:  BMJ       Date:  2015-08-25

Review 10.  Venomous Arachnid Diagnostic Assays, Lessons from Past Attempts.

Authors:  Camila Dias-Lopes; Ana Luiza Paiva; Clara Guerra-Duarte; Franck Molina; Liza Felicori
Journal:  Toxins (Basel)       Date:  2018-09-10       Impact factor: 4.546

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.