| Literature DB >> 28835231 |
Isabelle Gautier1,2, Perrine Janiaud3, Nelly Rollet3, Nicolas André4, Michel Tsimaratos4, Catherine Cornu3,5, Salma Malik3,5, Stéphanie Gentile6, Behrouz Kassaï3,5.
Abstract
BACKGROUND: There is a great need for high quality clinical research for children. The European Pediatric Regulation aimed to improve the quality of clinical trials in order to increase the availability of treatments for children. The main purpose of this study was to assess the evolution of both the number and the quality of pediatric trial protocols that were submitted to a French Institutional Review Board (IRB00009118) before and after the initiation of the EU Pediatric Regulation.Entities:
Keywords: European Pediatric Regulation; Institutional Review board; Randomized Clinical Trials
Mesh:
Year: 2017 PMID: 28835231 PMCID: PMC5569539 DOI: 10.1186/s12874-017-0395-4
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
Characteristics of included protocols
| Characteristics of all protocols |
| 2003–2008 (6 y) | 2009–2014 (6 y) |
| ||
|---|---|---|---|---|---|---|
| Total | Drug | Non drug | Drug | Non drug | ||
| n (%) | 27 (57.5) | 20 (42.5) | 43 (50) | 43 (50) | ||
| Type of study | ||||||
| Biomedical research | 97 (72.9) | 26 | 12 | 40 | 19 | 0.231 |
| Routine health care | 31 (23.3) | 1 | 6 | 3 | 21 | |
| Observational | 5 (3.8) | 0 | 2 | 0 | 3 | |
| Sponsor | ||||||
| Academic | 69 (51.9) | 6 | 15 | 6 | 42 | 0.276 |
| Industrial | 64 (48.1) | 21 | 5 | 37 | 1 | |
| Population | ||||||
| Only children | 56 (42.1) | 14 | 6 | 24 | 12 | 1.000 |
| Children and adults | 77 (57.9) | 13 | 14 | 19 | 31 | |
| Sex | ||||||
| Female | 1 (0.8) | 0 | 0 | 0 | 1 | 0.158 |
| Male | 20 (15.0) | 2 | 2 | 13 | 3 | |
| Both | 112 (84.2) | 25 | 18 | 30 | 39 | |
| Methodology | ||||||
| Randomized | 50 (37.6) | 20 | 7 | 20 | 3 | 0.000* |
| Non-randomized | 83 (62.4) | 7 | 13 | 23 | 40 | |
| Multicentric | ||||||
| Yes | 86 (64.6) | 24 | 7 | 39 | 16 | 0.852 |
| No | 47 (35.4) | 3 | 13 | 4 | 27 | |
| Sample size calculation | ||||||
| Yes | 66 (49.6) | 17 | 8 | 21 | 20 | 0.589 |
| No | 67 (50.4) | 10 | 12 | 22 | 23 | |
| Mention of necessary items for sample size calculation | ||||||
| Yes | 57 (42.9) | 15 | 9 | 19 | 14 | 0.200 |
| No | 76 (57.1) | 12 | 11 | 24 | 29 | |
| Interim analysis | ||||||
| Yes | 21 (15.8) | 5 | 2 | 12 | 2 | 1.000 |
| No | 112 (84.2) | 22 | 18 | 31 | 41 | |
| Subgroup analysis | ||||||
| Yes | 26 (19.5) | 9 | 2 | 10 | 5 | 0.494 |
| No | 107 (80.5) | 18 | 18 | 33 | 38 | |
| Intention to treat analysis | ||||||
| Yes | 54 (40.6) | 19 | 7 | 19 | 9 | 0.016* |
| No | 79 (59.4) | 8 | 13 | 24 | 34 | |
The p value corresponds to the comparison of the two periods for each listed variable including both “drug” and “non drug” RCTs
Data are n (%) of protocols; *p-value <0.05
Characteristics of randomized controlled trials
| Characteristics of RCTs |
| 2003–2008 (6 y) | 2009–2014 (6 y) | |||
|---|---|---|---|---|---|---|
| Total n (%) | Drug 20 (74) | Non drug 7 (26) | Drug 20 (87) | Non drug 3 (13) | ||
| Experimental design | ||||||
| Parallel | 43 (86) | 19 | 5 | 17 | 2 | 0.697 |
| Cross-over | 7 (14) | 1 | 2 | 3 | 1 | |
| Level of blind | ||||||
| Double blind | 29 (58) | 13 | 1 | 14 | 1 | 0.052 |
| Single blind | 2 (4) | 1 | 0 | 0 | 1 | |
| Open labeled | 19 (38) | 6 | 6 | 6 | 1 | |
| Allocation concealment | ||||||
| Inadequate | 4 (8) | 2 | 0 | 2 | 0 | 0.055 |
| Unclear | 20 (40) | 7 | 6 | 5 | 2 | |
| Adequate | 26 (52) | 11 | 1 | 13 | 1 | |
| Jadad class | ||||||
|
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|
|
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| 0.758 | |
| Low quality <3 | 15 (30) | 3 | 6 | 5 | 1 | |
| High quality ≥3 | 35 (70) | 17 | 1 | 15 | 2 | |
| Jadad class in sensitivity analysis | ||||||
|
|
|
|
|
| 0.650 | |
| Low quality <3 | 5 (15) | 2 | 1 | 2 | 0 | |
| High quality ≥3 | 28 (25) | 13 | 1 | 12 | 2 | |
Data are n (%) of RCTs and median [1st quartile – 3rd quartile] of Jadad score
The p value corresponds to the comparison of the two periods for each listed variable including both “drug” and “non drug” RCTs
Fig. 1Boxplots representing the Jadad score by time periods: a All RCTs; b sensitivity analysis
Fig. 2Results from data banks