Professor & patients' paper on the solvable biological challenge of ME/CFS: reader-friendly version
Simon McGrath provides a patient-friendly version of a peer-reviewed paper which highlights some of the most promising biomedical research on ME/CFS ...
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Systematic Reviews and Meta-Analyses aren’t immune to bias

Discussion in 'Other Health News and Research' started by Denise, Sep 22, 2016.

  1. Denise

    Denise Senior Member

    "Science’s arbiter of disputes, the meta-analysis, is falling prey to bias”

    By Ivan Oransky and Adam Marcus

    ...”In a new paper, John Ioannidis, of Stanford University, argues that scientists are being deluged with a “massive production of unnecessary, misleading, and conflicted systematic reviews and meta-analyses.”Rather than present objective evidence, these articles are afflicted with the very illness — assumptions, biases, and wishful thinking — that they ostensibly try to filter out, he says.”

    Retraction Watch did a Q and A with Ioannidis about his paper:
    "We have an epidemic of deeply flawed meta-analyses, says John Ioannidis

    the full paper:

    The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta-analyses
    mango, Glycon, flybro and 2 others like this.
  2. Glycon

    Glycon World's Most Dangerous Hand Puppet

    ON, Canada
    Like, did anyone ever think that meta-analyses WERE immune to biases?...
  3. Denise

    Denise Senior Member

    The Ioannidis article is referred to in

    "Mass production of review articles is cause for concern

    A torrent of low-quality meta-analyses and systematic reviews in biomedicine might be hiding valuable research and misleading scientists.

    A gold standard of scientific analysis is fast becoming tarnished, according to a report by a leading meta-researcher.

    Systematic reviews and meta-analyses distil scientific articles on similar questions into what is meant to be an authoritative take on a particular topic — often how well a particular treatment works across medical settings — and they are key tools in evidence-based medicine."

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