Home Clinical trial publication trends within neurology
Article Open Access

Clinical trial publication trends within neurology

  • Phan Q. Duy EMAIL logo , Anirudh Sreekrishnan , Wyatt David , Manish D. Paranjpe , Ishan Paranjpe , Amar Sheth , Batur Gültekin and Kevin N. Sheth
Published/Copyright: August 20, 2019
Become an author with De Gruyter Brill

Abstract

Timely dissemination of results from clinical studies is crucial for the advancement of knowledge and clinical decision making. A large body of research has shown that up to half of clinical trials do not publish their findings. In this study, we sought to determine whether clinical trial publication rates within neurology have increased over time. Focusing on neurology clinical trials completed between 2008 to 2014, we found that while the overall percentage of published trials has not changed (remaining at approximately 50%), time to publication has significantly decreased. Our findings suggest that clinical trials within neurology are being published in a more timely manner.

Introduction

Clinical trials are an integral part of translating scientific findings and improve patient outcomes. Thus, dissemination of clinical trials results is crucial for informing public health policy and clinical decision making. However, dissemination rates of clinical trials results are disappointing: 25-50% of clinical trial results are not published [1, 2]. Within the field of neurology, we previously found that approximately only half of clinical trials published their findings in peer-reviewed journals [3]. In recognition of this major public health dilemma, governmental policies have been implemented to improve dissemination of clinical research results, including the 2007 US FDA Amendment Act (FDAAA) mandating clinical trial registration and results reporting on ClinicalTrials.gov a publicly accessible clinical registry, for all trials of FDA-regulated products [4, 5]. In this study, we sought to expand upon our previous findings to characterize trends in publication of clinical trials within the field of neurology. Specifically, we sought to determine: 1) Trends in the percentage of completed trials that published their findings from 2008 to 2014, and 2) Trends in the overall time to publication following trial completion.

Methods

Data analysis was conducted using a database that we generated [3]. Briefly, we performed a search on July 19, 2016, through ClinicalTrials. gov for interventional trials conducted within the United States between 2007 and 2014 using the search term “nervous system disease.” Publication status was verified using the associated ClinicalTrials.gov webpage and the SCOPUS (Elsevier) database. We first grouped neurology clinical trials into the years when they were completed (2008 to 2014). For each year, we calculated the percentage of completed clinical trials that published their findings and the time to publication (defined as months between publication date and the primary completion date). To analyze trends in percent of completed trials that published their findings and time to publication, we used the Chi-Square test for trend and the Ordinary one-way ANOVA test followed by Tukey’s multiple comparisons test, respectively. All statistical tests were conducted using GraphPad Prism.

Results

Table 1 shows the number of completed and published trials per year from 2008 to 2014. Overall, we did not find any trends in percentage of published clinical trials from 2008 to 2014, as the publication rates per year remained at approximately 50% (p = 0.2615) (Figure 1A) For published trials, we found that the overall time to publication decreased from 2008 -2014 (p < 0.0001) (Figure 1B) For example, time to publication for published trials completed in 2008 was 34.59 ± 2.30 months, whereas time to publication for published trials completed in 2014 was only 18.79 ± 0.95 months (p < 0.0001) (Figure 1B)

Figure 1 Clinical trial publication trends within neurology. A) Trends in percentage of published neurology clinical trials from 2008 to 2014. Chi-square test for trend was used to determine the p value. B) Trends in time to publication (in months between publication date and primary completion date) of neurology clinical trials from 2008 to 2014. One-way ANOVA test was used to determine the p value. Mean ± SEM are shown for each year.
Figure 1

Clinical trial publication trends within neurology. A) Trends in percentage of published neurology clinical trials from 2008 to 2014. Chi-square test for trend was used to determine the p value. B) Trends in time to publication (in months between publication date and primary completion date) of neurology clinical trials from 2008 to 2014. One-way ANOVA test was used to determine the p value. Mean ± SEM are shown for each year.

Table 1

Number of completed and published trials per year from 2008 to 2014.

YearNumber of completed trials within yearNumber of published trials within year
200817282
2009242100
2010284157
2011358182
2012406207
2013394171
201419381

Discussion

Clinical trials are crucial for the translation of scientific discoveries into diverse areas of clinical medicine. Thus, timely dissemination of clinical trial results is important for the scientific progress by informing future research and medical practice. We found that while the overall percentage of clinical trials that published their findings has not changed, the time to publication has significantly decreased from 2008 to 2014. These findings suggest that despite no overall improvements in publication rates, clinical trials in neurology are being published in a more timely manner following study completion.

Although the scientific and medical communities have now recognized low publication of clinical trials to be a major problem [2, 6], the reasons underlying the failure to report clinical trial results are not understood. In a study that extensively reviewed controlled clinicals in fragile X syndrome [7], the most translated neurodevelopmental disorder [8], some large well-powered clinical trial studies remain unpublished, while others took some time to be published as they showed “failed” primary outcomes. The difficulty in publishing trials with inconclusive and negative results may thus explain why approximately half of neurology clinical trials are not published [3]. Indeed, clinical trials with positive findings were more likely to be recommended for publication compared to those with negative findings [9]. However, regardless of outcomes, timely reporting of all research findings is an important duty to the public and to patients that researchers need to uphold so that clinical science can progress [6]. Future investigations should seek to determine the underlying mechanisms that explain low rates of publication in clinical trials and thus help to define better research practice policies to ensure timely dissemination of clinical trial results.

Acknowledgements

PQD was supported by NIH Medical Scientist Training Program Training Grant T32GM007205. KNS was supported by the NIH, AHA, Bard, Biogen, Novartis, Astrocyte, and Hyperfine.

References

[1] Ross, J.S., et al., Time to publication among completed clinical trials JAMA Intern Med, 2013. 173(9): p. 825-8.10.1001/jamainternmed.2013.136Search in Google Scholar PubMed PubMed Central

[2] Chen, R., et al., Publication and reporting of clinical trial results: cross sectional analysis across academic medical centers BMJ, 2016. 352: p. i637.10.1136/bmj.i637Search in Google Scholar PubMed PubMed Central

[3] Sreekrishnan, A., et al., Publication and Dissemination of Results in Clinical Trials of Neurology JAMA Neurol, 2018. 75(7): p. 890-891.10.1001/jamaneurol.2018.0674Search in Google Scholar PubMed PubMed Central

[4] Phillips, A.T., et al., Association of the FDA Amendment Act with trial registration, publication, and outcome reporting Trials, 2017. 18(1): p. 333.10.1186/s13063-017-2068-3Search in Google Scholar PubMed PubMed Central

[5] The Food and Drug Administration Amendments Act (FDAAA) in Public Law: 110-85 T.F.a.D. Administration, Editor. 2007.Search in Google Scholar

[6] Wallach, J.D. and H.M. Krumholz, Not Reporting Results of a Clinical Trial Is Academic Misconduct Ann Intern Med, 2019.10.7326/M19-1273Search in Google Scholar PubMed

[7] Budimirovic, D.B., et al., Updated report on tools to measure outcomes of clinical trials in fragile X syndrome J Neurodev Disord, 2017. 9: p. 14.10.1186/s11689-017-9193-xSearch in Google Scholar PubMed PubMed Central

[8] Duy, P.Q. and D.B. Budimirovic, Fragile X Syndrome: Lessons Learned from the Most Translated Neurodevelopmental Disorder in Clinical Trials Transl Neurosci, 2017. 8: p. 7-8.10.1515/tnsci-2017-0002Search in Google Scholar PubMed PubMed Central

[9] Emerson, G.B., et al., Testing for the presence of positive-outcome bias in peer review: a randomized controlled trial Arch Intern Med, 2010. 170(21): p. 1934-9.10.1001/archinternmed.2010.406Search in Google Scholar PubMed

Received: 2019-07-03
Accepted: 2019-07-30
Published Online: 2019-08-20

© 2019 Phan Q. Duy et al. published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Autobiographical memory increases pupil dilation
  2. Regular Articles
  3. Nox2-dependent neuroinflammation in an EAE model of multiple sclerosis
  4. Radiation outcome in mechanical thrombectomy of acute ischemic stroke
  5. Test and evaluation of advertising effect based on EEG and eye tracker
  6. Difference in the ascending reticular activating system injury between mild traumatic brain injury and cerebral concussion
  7. Early antiinflammatory therapy attenuates brain damage after sah in rats
  8. Change of cognitive functions after stroke with rehabilitation systems
  9. Severe apathy due to injury of prefronto-caudate tract
  10. Brain gene expression in a novel mouse model of postpartum mood disorder
  11. MiR-1906 attenuates neuropathic pain in rats by regulating the TLR4/mTOR/ Akt signaling pathway
  12. L-655,708 does not prevent isoflurane-induced memory deficits in old mice
  13. Coping strategies for oral health problems by people with schizophrenia
  14. Description and assessment of a neurosurgery shadowing and research program: A paradigm for early and sustained exposure to academic neurosurgery
  15. Processing of action and sound verbs in context: An FMRI study
  16. Heart rate variability and vagus nerve stimulation in epilepsy patients
  17. Clinical trial publication trends within neurology
  18. Protective effect of resveratrol against corticosterone-induced neurotoxicity in PC12 cells
  19. Early multidisciplinary intensive-care therapy can improve outcome of severe anti-NMDA-receptor encephalitis presenting with extreme delta brush
  20. CSF proteomics of patients with hydrocephalus and subarachnoid haemorrhage
  21. Behavior and hippocampal Epac signaling to nicotine CPP in mice
  22. Chronic subdural hematoma (CSH) is still an important clinical problem. Analysis of 700 consecutive patients
  23. Interactions of aromatase and seladin-1: A neurosteroidogenic and gender perspective
  24. Special Issue: Adult Neurogenesis and Neurological Disorders
  25. Cognitive diagnosis of cultural and rural tourism convergence
  26. Cognition of nurses in neurology department on rehabilitation nursing
  27. Evaluation of news communication effect based on cognitive neuroscience
  28. Influence of cognitive neuroscience on contemporary philosophy of science
  29. EEG-based quantitative analysis of aesthetic emotion in clothing design
  30. Research on digital news distribution based on cognitive neuroscience
  31. Influence of cognitive neural mechanism on music appreciation and learning
  32. Analysis on artist neuropsychology and art creation
  33. Computational neuroscience applied in surface roughness fiber optic sensor
  34. Clothing pressure alters brain wave activity in the occipital and parietal lobes
  35. Prediction of global value chain based on cognitive neural network -Take Chinese automobile industry as an example
  36. New orientation of study on economic psychology and behaviour
  37. Study on the progress of neural mechanism of positive emotions
  38. The role of meditation in college students' neuroticism and mental health
  39. Digital image recognition based on improved cognitive neural network
  40. Decision-making ability of professional managers based on neurocognitive
  41. Music recognition algorithm based on T-S cognitive neural network
  42. Characteristics of cognitive in children with learning difficulties
  43. Cognitive neural mechanism of sports competition pressure source
  44. Analysis of dexmedetomidine on the quality of awakening during neurosurgery
  45. Early path nursing on neurological function recovery of cerebral infarction
  46. Clinical study of neurology nursing on cerebral apoplexy rehabilitation
Downloaded on 9.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/tnsci-2019-0037/html
Scroll to top button