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From BMJ USA 2002;October:570
As of September 19, 2002, this article had generated 8 Rapid Responses, which can be read
in their entirety at http://bmj.com/cgi/eletters/325/7358/249. Edited
excerpts of two responses, and the author's reply, are presented
here.
Editor
The use of masking procedures
EDITOR The procedures for masking or blinding in this investigation do not
meet this standard. One investigator assessed both source of funding
and authors' conclusions without any masking. The second investigator
assessed authors' conclusions without knowledge of the source of
funding. Unfortunately, the two investigators then colluded together to
agree on a final score, thus diluting the benefit of masking. Even if
they had not colluded and the unblinded investigator's assessment of
authors' conclusions had not been used, the possibility of bias
remains because the only assessment of source of funding was made with
knowledge of the authors' conclusions.
Separating results and conclusions
EDITOR The observed association could be because authors of industry-sponsored
publications are more likely to draw inappropriately positive
conclusions, or it could be because industry-sponsored research is more
likely to reach positive results. This could be for many reasons,
perhaps because pharmaceutical companies are more likely to fund trials
if they believe the results are likely to be positive. Or perhaps
industry-sponsored studies, usually being better funded than
independent studies, are more likely to be adequately powered and
therefore less likely to reach a false-negative conclusion. The
difference between these potential explanations is important.
The authors' attempts to address this by statistical correction for
sample size seem crude. What is important is not the sample size of the
study, but its power to detect a difference between treatments. A study
with 200 patients that only needed 150 to have 90% power to detect a
clinically important difference between treatments is clearly a more
highly powered study than one with 500 patients that should have had
1000, but this would not be captured by the analysis used in the paper.
Authors' response
EDITOR To comply with Plummer's critique, we analyzed the association between
competing interests and authors' conclusions assessed in a blinded
manner. This confirmed that competing interests were significantly
associated with authors' conclusions (Kruskal-Wallis H=17.25 with 3 degrees of freedom; P=0.001), suggesting that the risk of bias is not
large enough to dismiss the results of our study. We acknowledge that
larger studies are needed to confirm our results and to estimate the
generalizability of our findings.
In response to Jacobs, we recognize that the statistical power of
trials depends on the number of included patients and events. From each
of the 159 trials, we extracted the number of included patients,
authors' sample size calculations (reflecting the expected event
rate), and whether the required sample size was reached. The required
sample size was not attained in 20 (13%) trials. None of these trials
underwent preliminary termination due to differences between outcomes
in experimental and control groups. These potential confounding factors
did not explain the association between competing interests and
authors' conclusions. Accordingly, the association between competing
interests and authors' conclusions does not seem to reflect
differences in statistical power.
Although there seems to be good agreement in this study between
raters' assessment of authors' conclusions on a 6-point scale, there
is enough variation and subjectivity in this assessment for bias to be
a serious concern. At the very least, assessments of authors'
conclusions should be made without knowledge of the source of funding,
and assessment of the source of funding should be made without
knowledge of the authors' conclusions.
East Kent Community NHS Trust, Canterbury, UK
wpplummer{at}aol.com
Kjaergard and Als-Nielsen present interesting data on the
relationship between competing interests and conclusions, but I think
they have missed an opportunity to tell us something even more
interesting about the reasons for that relationship.
Dianthus Medical Limited, London, UK
ajacobs{at}dianthus.co.uk
We assessed authors' conclusions without and with blinding of
competing interests. Consensus was achieved in all cases before the
analyses, and blinding was maintained until after completion of the
analyses. Reliability analyses showed good agreement between the
unblinded and blinded assessment of authors' conclusions. Unlike the
assessment of authors' conclusions, the extraction of competing
interests was not based on subjective assessment but on authors'
reporting of financial or other competing interests. Incorrect
registration of this information could have occurred by mistake or
intentionally. We estimated that unintentional mistakes would not be
affected by blinding and that we would not make intentional mistakes.
Accordingly, we did not blind the extraction of competing interests.
Cochrane Hepato-Biliary Group, Copenhagen Trial Unit,
Rigshospitalet, Denmark kjaergard{at}ctu.rh.dk
© 2003 BMJ Publishing Group Ltd
Israeli students are refusing to perform intimate examinations on anaesthetised women without their informed consent.