Literature DB >> 31037544

The Fragility Index in a Cohort of HIV/AIDS Randomized Controlled Trials.

Cole Wayant1, Chase Meyer2,3, Rebecca Gupton4, Mousumi Som4, Damon Baker4, Matt Vassar2,3.   

Abstract

HIV/AIDS is associated with significant morbidity, mortality, and financial burden. For these reasons, robust clinical evidence is critical. We aim to investigate the fragility index, fragility quotient, and risk of bias of clinical trial endpoints in HIV medicine. The fragility index represents the minimum amount of trial endpoint "nonevents" changed to "events" in one trial arm required to nullify statistical significance. The fragility quotient contextualized the fragility index by dividing the index by the total trial sample size. We selected eligible trials from the Department of Health and Human Services guideline for the use of antiretroviral agents in HIV-1-infected adults and adolescents. We calculated the fragility index and fragility quotient for all included trials. The Cochrane "risk of bias" Tool 2.0 was used to evaluate the likelihood and sources of bias in the included trials. Thirty-nine RCTs were included for our analysis of fragility. Thirty-six were included for our analysis of the risk of bias. The median fragility index was 5. Three RCTs were at high risk of bias, all due to the selection of the endpoint or statistical test. Twenty had some concerns for risk of bias. The analyzed HIV medicine RCT endpoints were fragile, overall. This indicates that a median of 5 patients across all included studies would nullify the statistical significance of the endpoints. Furthermore, we found evidence that concerns for bias are present at a high rate.

Entities:  

Keywords:  HIV; acquired immunodeficiency syndrome; fragility index; fragility quotient; randomized controlled trials

Mesh:

Substances:

Year:  2019        PMID: 31037544      PMCID: PMC6614212          DOI: 10.1007/s11606-019-04928-5

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  22 in total

1.  GRADE guidelines: 2. Framing the question and deciding on important outcomes.

Authors:  Gordon H Guyatt; Andrew D Oxman; Regina Kunz; David Atkins; Jan Brozek; Gunn Vist; Philip Alderson; Paul Glasziou; Yngve Falck-Ytter; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2010-12-30       Impact factor: 6.437

Review 2.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

Review 3.  The statistical significance of randomized controlled trial results is frequently fragile: a case for a Fragility Index.

Authors:  Michael Walsh; Sadeesh K Srinathan; Daniel F McAuley; Marko Mrkobrada; Oren Levine; Christine Ribic; Amber O Molnar; Neil D Dattani; Andrew Burke; Gordon Guyatt; Lehana Thabane; Stephen D Walter; Janice Pogue; P J Devereaux
Journal:  J Clin Epidemiol       Date:  2014-02-05       Impact factor: 6.437

Review 4.  The lifetime cost of current human immunodeficiency virus care in the United States.

Authors:  Bruce R Schackman; Kelly A Gebo; Rochelle P Walensky; Elena Losina; Tammy Muccio; Paul E Sax; Milton C Weinstein; George R Seage; Richard D Moore; Kenneth A Freedberg
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

5.  The fragility of statistically significant findings from randomized trials in spine surgery: a systematic survey.

Authors:  Nathan Evaniew; Carly Files; Christopher Smith; Mohit Bhandari; Michelle Ghert; Michael Walsh; Philip J Devereaux; Gordon Guyatt
Journal:  Spine J       Date:  2015-06-11       Impact factor: 4.166

6.  Contemporary costs of HIV healthcare in the HAART era.

Authors:  Kelly A Gebo; John A Fleishman; Richard Conviser; James Hellinger; Fred J Hellinger; Joshua S Josephs; Philip Keiser; Paul Gaist; Richard D Moore
Journal:  AIDS       Date:  2010-11-13       Impact factor: 4.177

7.  A randomized comparison of second-line lopinavir/ritonavir monotherapy versus tenofovir/lamivudine/lopinavir/ritonavir in patients failing NNRTI regimens: the HIV STAR study.

Authors:  Torsak Bunupuradah; Ploenchan Chetchotisakd; Jintanat Ananworanich; Warangkana Munsakul; Supunnee Jirajariyavej; Pacharee Kantipong; Wisit Prasithsirikul; Somnuek Sungkanuparph; Chureeratana Bowonwatanuwong; Virat Klinbuayaem; Stephen J Kerr; Jiratchaya Sophonphan; Sorakij Bhakeecheep; Bernard Hirschel; Kiat Ruxrungtham
Journal:  Antivir Ther       Date:  2012-07-02

8.  CD4+ count-guided interruption of antiretroviral treatment.

Authors:  W M El-Sadr; J D Lundgren; J D Neaton; F Gordin; D Abrams; R C Arduino; A Babiker; W Burman; N Clumeck; C J Cohen; D Cohn; D Cooper; J Darbyshire; S Emery; G Fätkenheuer; B Gazzard; B Grund; J Hoy; K Klingman; M Losso; N Markowitz; J Neuhaus; A Phillips; C Rappoport
Journal:  N Engl J Med       Date:  2006-11-30       Impact factor: 91.245

9.  Sample size estimation and power analysis for clinical research studies.

Authors:  Kp Suresh; S Chandrashekara
Journal:  J Hum Reprod Sci       Date:  2012-01

10.  The extent and consequences of p-hacking in science.

Authors:  Megan L Head; Luke Holman; Rob Lanfear; Andrew T Kahn; Michael D Jennions
Journal:  PLoS Biol       Date:  2015-03-13       Impact factor: 8.029

View more
  7 in total

1.  The Fragility Index in HIV/AIDS Trials.

Authors:  Robert S Van Howe
Journal:  J Gen Intern Med       Date:  2019-11-25       Impact factor: 5.128

2.  Fragility of results from randomized controlled trials supporting the guidelines for the treatment of osteoporosis: a retrospective analysis.

Authors:  X Huang; B Chen; L Thabane; J D Adachi; G Li
Journal:  Osteoporos Int       Date:  2021-02-17       Impact factor: 4.507

Review 3.  Fragility Index in Cardiovascular Randomized Controlled Trials.

Authors:  Muhammad Shahzeb Khan; Rohan Kumar Ochani; Asim Shaikh; Muhammad Shariq Usman; Naser Yamani; Safi U Khan; M Hassan Murad; John Mandrola; Rami Doukky; Richard A Krasuski
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-12-11

4.  The Fragility of Statistical Significance in Cartilage Restoration of the Knee: A Systematic Review of Randomized Controlled Trials.

Authors:  Robert L Parisien; Michael Constant; Bryan M Saltzman; Charles A Popkin; Christopher S Ahmad; Xinning Li; David P Trofa
Journal:  Cartilage       Date:  2021-05-10       Impact factor: 3.117

5.  Frequent fragility of randomized controlled trials for HCC treatment.

Authors:  Hao Zhang; Jingtao Li; Wenting Zeng
Journal:  BMC Cancer       Date:  2021-04-09       Impact factor: 4.430

6.  Robustness of outcomes in trials evaluating sodium-glucose co-transporter 2 inhibitors for heart failure.

Authors:  Muhammad Shariq Usman; Muhammad Shahzeb Khan; Gregg C Fonarow; Stephen J Greene; Tim Friede; Muthiah Vaduganathan; Gerasimos Filippatos; Andrew J Stewart Coats; Stefan D Anker; Javed Butler
Journal:  ESC Heart Fail       Date:  2022-01-13

7.  Fragility of statistically significant findings from randomized clinical trials of surgical treatment of humeral shaft fractures: A systematic review.

Authors:  Stephen Craig Morris; Anirudh K Gowd; Avinesh Agarwalla; Wesley P Phipatanakul; Nirav H Amin; Joseph N Liu
Journal:  World J Orthop       Date:  2022-09-18
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.