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dperetti's profile
Dominique PERETTI
Dominique PERETTI
Dominique PERETTI
@dperetti

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Dominique PERETTI

@dperetti

My life is made of code (building http://codestoryapp.com ), jazz music (http://contrarymotion.co  !), wife, cats and children.

France
codestoryapp.com
Joined September 2009

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    Dominique PERETTI‏ @dperetti 9 May 2020

    🔥Here is a thread about how the @nejm New York observational study was massaged in order to hide the significant benefit of Hydroxychloroquine (HCQ) for hospitalized patients that a closer look to data reveals.https://www.nejm.org/doi/full/10.1056/NEJMoa2012410?query=featured_home …

    9:13 AM - 9 May 2020
    • 337 Retweets
    • 614 Likes
    • Parkertoo Rounding the Earth JustineMérieau#FF#LW#SPF joe Jennevere8 Martine R. Bazaari, hedge ESG by buying coal Carmen Boyd-Rucker I Wonder
    45 replies 337 retweets 614 likes
      1. New conversation
      2. Dominique PERETTI‏ @dperetti 9 May 2020

        Granted, the authors didn’t hide the fact that the HCQ group was more severely ill.pic.twitter.com/oxIy4PSpEK

        6 replies 24 retweets 81 likes
        Show this thread
      3. Dominique PERETTI‏ @dperetti 9 May 2020

        Indeed, the patients from HCQ group were mostly already in a mild to moderate Acute Respiratory Distress Syndrome (ARDS) while the patients from the other group were not, as the PaO2/FiO2 shows:pic.twitter.com/pJGkdtEF6F

        3 replies 19 retweets 77 likes
        Show this thread
      4. Dominique PERETTI‏ @dperetti 9 May 2020

        Patients from the HCQ group are also much older, and males (who are more at risk) are more represented.pic.twitter.com/ucbbRtpLto

        3 replies 18 retweets 71 likes
        Show this thread
      5. Dominique PERETTI‏ @dperetti 9 May 2020

        Same goes for comorbidity, especially Hypertension:pic.twitter.com/vzcWgt3KYI

        2 replies 17 retweets 73 likes
        Show this thread
      6. Dominique PERETTI‏ @dperetti 9 May 2020

        Dominique PERETTI Retweeted Paul Sax

        As @PaulSaxMD points out, in these conditions, it’s challenging to adjust the control group in order to do a proper comparison.https://twitter.com/PaulSaxMD/status/1258512980775297025 …

        Dominique PERETTI added,

        Paul SaxVerified account @PaulSaxMD
        In this well-done observational study, no benefit from HCQ. But note that in the unadjusted analysis, resp failure/death was 2X higher with HCQ -- because they were much sicker! Can statistical techniques fully adjust for this degree of channeling bias? https://www.nejm.org/doi/full/10.1056/NEJMoa2012410?query=recirc_curatedRelated_article …
        1 reply 17 retweets 63 likes
        Show this thread
      7. Dominique PERETTI‏ @dperetti 9 May 2020

        In order to nevertheless do so, the authors made use of several statistical tools and computed a smaller set (N=274 vs N=565) of “propensity-score-matched patients”, which is more comparable to the HCQ group:pic.twitter.com/8Q2StqHyeC

        3 replies 10 retweets 54 likes
        Show this thread
      8. Dominique PERETTI‏ @dperetti 9 May 2020

        So far, so good. But now, here is the dirty trick. The authors decided to study the “intubation or death” endpoint, AS A WHOLE, which means the “intubation” event, *no matter whether the patient eventually survived* and the “death” event are considered equally.pic.twitter.com/xib9otClTf

        4 replies 34 retweets 98 likes
        Show this thread
      9. Dominique PERETTI‏ @dperetti 9 May 2020

        They call it a “composite endpoint”, but composite endpoints are known to be… touchy.https://www.the-scientist.com/lab-tools/composite-endpoints-in-clinical-trials-33259 …

        2 replies 15 retweets 63 likes
        Show this thread
      10. Dominique PERETTI‏ @dperetti 9 May 2020

        A rule of thumb is to usually “choose endpoints that are relatively similar in how clinically important they are to patients”, yet the authors of the NY study chose to conflate “intubation” and “death”. (Do you prefer to be intubated but still alive, or dead?)

        3 replies 18 retweets 80 likes
        Show this thread
      11. Dominique PERETTI‏ @dperetti 9 May 2020

        Then, the study establishes that the “the risk of intubation or death was not significantly higher or lower among patients who received HCQ than among those who did not”. Indeed, as the diagram shows, the “intubation or death” event occurs identically in both groups.pic.twitter.com/l5PlSq3Un3

        2 replies 10 retweets 60 likes
        Show this thread
      12. Dominique PERETTI‏ @dperetti 9 May 2020

        But remember, it’s “Intubation OR Death”, as whole. In order to break down this compound, we need to go to the appendix and take a look at Table S1. The Primary Outcome shown here matches the study end-point.pic.twitter.com/UH8QWvc0lG

        4 replies 14 retweets 67 likes
        Show this thread
      13. Dominique PERETTI‏ @dperetti 9 May 2020

        Since the key finding of the study is that the “Intubated or Death” primary outcome is independent from the group, it's perfectly legit to do the math and find out what “Death” actually represents (Death / Primary Outcome) in this composite.

        1 reply 12 retweets 60 likes
        Show this thread
      14. Dominique PERETTI‏ @dperetti 9 May 2020

        And here are the (surprising?) results: Death / Primary Outcome HCQ: 157 / 262 = 60% No-HCQ: 75/ 84 = 89% ! In other words, COVID patients who developed a respiratory failure in the NY hospital turned out to be 4 times more likely to survive when treated with HCQ!

        30 replies 117 retweets 259 likes
        Show this thread
      15. Dominique PERETTI‏ @dperetti 9 May 2020

        The authors decided to tout the study as a proof that “HCQ was not associated with either a greatly lowered or an increased risk of the composite end point of intubation or death“ which nearly everybody understands as “it does lower neither the risk or intubation nor the death”.

        1 reply 14 retweets 82 likes
        Show this thread
      16. Dominique PERETTI‏ @dperetti 9 May 2020

        This is incredibly misleading. Why did they choose to study that "composite" and not simply the mortality? 🤷‍♂️

        15 replies 23 retweets 140 likes
        Show this thread
      17. Dominique PERETTI‏ @dperetti 23 May 2020

        Dominique PERETTI Retweeted Dominique PERETTI

        https://twitter.com/dperetti/status/1264251404232855552?s=21 …https://twitter.com/dperetti/status/1264251404232855552 …

        Dominique PERETTI added,

        Dominique PERETTI @dperetti
        🔥 Did you like the NEJM NY study? Let’s have a look at the Lancet’s! TLTR: again, the surprising stuff is in the appendix.
        Show this thread
        0 replies 3 retweets 11 likes
        Show this thread
      18. End of conversation

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