• Anaesthesia · May 2012

    Review

    The analysis of 168 randomised controlled trials to test data integrity.

    Carlisle investigated the distribution of independent variables between study groups in Fujii's fraudulent research:

    "The published distributions of 28/33 variables (85%) were inconsistent with the expected distributions, such that the likelihood of their occurring ranged from 1 in 25 to less than 1 in 1 000 000 000 000 000 000 000 000 000 000 000 (1 in 1033), equivalent to p values of 0.04 to < 1 × 10-33 , respectively."

    summary
    • J B Carlisle.
    • Consultant Anaesthetist, Torbay Hospital, South Devon NHS Foundation Trust, Torquay, UK.
    • Anaesthesia. 2012 May 1; 67 (5): 521-537.

    AbstractThe purpose of this study was to use some statistical methods to assess if randomised controlled trials (RCTs) published by one particular author (Fujii) contained data of unusual consistency. I searched seven electronic databases, retrieving 168 RCTs published by this author between 1991 and July 2011. I extracted rates for categorical variables and means (SDs) for continuous variables, and compared these published distributions with distributions that would be expected by chance. The published distributions of 28/33 variables (85%) were inconsistent with the expected distributions, such that the likelihood of their occurring ranged from 1 in 25 to less than 1 in 1 000 000 000 000 000 000 000 000 000 000 000 (1 in 10(33)), equivalent to p values of 0.04 to < 1 × 10(-33) , respectively. In 141 human studies, 13/13 published continuous variable distributions were inconsistent with expected, their likelihoods being: weight < 1 in 10(33) ; age < 1 in 10(33) ; height < 1 in 10(33) ; last menstrual period 1 in 4.5 × 10(15) ; baseline blood pressure 1 in 4.2 × 10(5) ; gestational age 1 in 28; operation time < 1 in 10(33) ; anaesthetic time < 1 in 10(33) ; fentanyl dose 1 in 6.3 × 10(8) ; operative blood loss 1 in 5.6 × 10(9) ; propofol dose 1 in 7.7 × 10(7) ; paracetamol dose 1 in 4.4 × 10(2) ; uterus extrusion time 1 in 33. The published distributions of 7/11 categorical variables in these 141 studies were inconsistent with the expected, their likelihoods being: previous postoperative nausea and vomiting 1 in 2.5 × 10(6) ; motion sickness 1 in 1.0 × 10(4) ; male or female 1 in 140; antihypertensive drug 1 in 25; postoperative headache 1 in 7.1 × 10(10) ; postoperative dizziness 1 in 1.6 × 10(6) ; postoperative drowsiness 1 in 3.8 × 10(4) . Distributions for individual RCTs were inconsistent with the expected in 96/134 human studies by Fujii et al. that reported more than two continuous variables, their likelihood ranging from 1 in 22 to 1 in 140 000 000 000 (1 in 1.4 × 10(11)), compared with 12/139 RCTs by other authors. In 26 canine studies, the distributions of 8/9 continuous variables were inconsistent with the expected, their likelihoods being: right atrial pressure < 1 in 10(33) ; diaphragmatic stimulation (100 Hz) < 1 in 10(33) ; pulmonary artery occlusion pressure < 1 in 10(33) ; diaphragmatic stimulation (20 Hz) < 1 in 10(33) ; heart rate 1 in 6.3 × 10(10) ; mean pulmonary artery pressure 1 in 2.2 × 10(14) ; mean arterial pressure 1 in 6.3 × 10(7) ; cardiac output 1 in 110. Distributions were inconsistent with the expected in 21/24 individual canine studies that reported more than two continuous variables, their likelihood ranging from 1 in 345 to 1 in 51 000 000 000 000 (1 in 5.1 × 10(13)).Anaesthesia © 2012 The Association of Anaesthetists of Great Britain and Ireland.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    This article appears in the collection: Drowning in the Sea of Evidence.

    Notes

    summary
    1

    Carlisle investigated the distribution of independent variables between study groups in Fujii's fraudulent research:

    "The published distributions of 28/33 variables (85%) were inconsistent with the expected distributions, such that the likelihood of their occurring ranged from 1 in 25 to less than 1 in 1 000 000 000 000 000 000 000 000 000 000 000 (1 in 1033), equivalent to p values of 0.04 to < 1 × 10-33 , respectively."

    Daniel Jolley  Daniel Jolley
     
    Knowledge, pearl, summary or comment to share?

    User can't be blank.

    Content can't be blank.

    Content is too short (minimum is 15 characters).

    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…