1-1banner
 
medpundit
 

 
Commentary on medical news by a practicing physician.
 

 
Google
  • Epocrates MedSearch Drug Lookup




  • MASTER BLOGS





    "When many cures are offered for a disease, it means the disease is not curable" -Anton Chekhov




    ''Once you tell people there's a cure for something, the more likely they are to pressure doctors to prescribe it.''
    -Robert Ehrlich, drug advertising executive.




    "Opinions are like sphincters, everyone has one." - Chris Rangel



    email: medpundit-at-ameritech.net

    or if that doesn't work try:

    medpundit-at-en.com



    Medpundit RSS


    Quirky Museums and Fun Stuff


    Who is medpundit?


    Tech Central Station Columns



    Book Reviews:
    Read the Review

    Read the Review

    Read the Review

    More Reviews

    Second Hand Book Reviews

    Review


    Medical Blogs

    rangelMD

    DB's Medical Rants

    Family Medicine Notes

    Grunt Doc

    richard[WINTERS]

    code:theWebSocket

    Psychscape

    Code Blog: Tales of a Nurse

    Feet First

    Tales of Hoffman

    The Eyes Have It

    medmusings

    SOAP Notes

    Obels

    Cut-to -Cure

    Black Triangle

    CodeBlueBlog

    Medlogs

    Kevin, M.D

    The Lingual Nerve

    Galen's Log

    EchoJournal

    Shrinkette

    Doctor Mental

    Blogborygmi

    JournalClub

    Finestkind Clinic and Fish Market

    The Examining Room of Dr. Charles

    Chronicles of a Medical Mad House

    .PARALLEL UNIVERSES.

    SoundPractice

    Medgadget
    Health Facts and Fears

    Health Policy Blogs

    The Health Care Blog

    HealthLawProf Blog

    Facts & Fears

    Personal Favorites

    The Glittering Eye

    Day by Day

    BioEdge

    The Business Word Inc.

    Point of Law

    In the Pipeline

    Cronaca

    Tim Blair

    Jane Galt

    The Truth Laid Bear

    Jim Miller

    No Watermelons Allowed

    Winds of Change

    Science Blog

    A Chequer-Board of Night and Days

    Arts & Letters Daily

    Tech Central Station

    Blogcritics

    Overlawyered.com

    Quackwatch

    Junkscience

    The Skeptic's Dictionary



    Recommended Reading

    The Doctor Stories by William Carlos Williams


    Pox Americana: The Great Smallpox Epidemic of 1775-82 by Elizabeth Fenn


    Intoxicated by My Illness by Anatole Broyard


    Raising the Dead by Richard Selzer


    Autobiography of a Face by Lucy Grealy


    The Man Who Mistook His Wife for a Hat by Oliver Sacks


    The Sea and Poison by Shusaku Endo


    A Midwife's Tale by Laurel Thatcher Ulrich




    MEDICAL LINKS

    familydoctor.org

    American Academy of Pediatrics

    General Health Info

    Travel Advice from the CDC

    NIH Medical Library Info

     



    button

    Friday, August 02, 2002

    Sweep On You Greasy Statistics: DB's Medical Rants thinks I’ve been too hard on the NEJM paper about obesity and the risk of heart disease. I don’t think I have. The paper is a classic case of “stasticulating”, to use a term coined by Darrel Huff in his book How to Lie With Statistics. Instead of presenting their results in straightforward numbers, the authors chose to use complicated sets of statistics which are easily manipulated and prone to exaggeration, and which are poorly understood by those of us who aren’t statisticians. (I count myself among the innumerate, and suspect that the majority of my colleagues, including editors of medical journals also belong) Take, for instance, the much repeated phrase:

    ”After adjustment for known risk factors, there was an increase in the risk of heart failure of 5 percent for men and 7 percent for women for each increment of 1 in body mass index.”

    This statement is based on a ratio of rates of incidence of heart failure over the years of the study, not on a comparison of the actual incidences. It is one more convolution of the numbers that wasn’t really necessary to get the message across, but which makes the results sound so much more impressive. I’m not even sure how valid it is. What kind of risk goes up? Actual risk? Relative risk?

    As for the attributable risk, DB thinks that is the meat of the paper:

    The population attributable risk of heart failure due to overweight was 14.0 percent in women and 8.8 percent in men. The corresponding population attributable risks due to obesity were 13.9 percent in women and 10.9 percent in men.

    The attributable risk is nothing more than a stastician’s device to make his conjectures seem more dramatic. It is a conjecture with numbers, but numbers don’t lie, so we accept it as truth. But, coming up with that number relies on assumptions about possible contributing factors that the authors had to make. We aren’t privy to those assumptions because they are cloaked behind the calculations. Therefore, I’m not at all sure, as DB is, that 50,000 heart failure cases a year are caused by obesity.

    My main point about the paper, is not that it didn’t show an increase in heart failure among the obese. It did. My point is that the increase wasn’t as dramatic as we are being led to believe. The data are being maniuplated to give the greatest possible effect, so that the authors can make concluding statements like this:

    Our findings suggest that obesity is an important risk factor for heart failure in both women and men. Approximately 11 percent of cases of heart failure among men and 14 percent among women in the community are attributable to obesity alone. The contribution of obesity to the risk of heart failure has not been adequately recognized, and our observational data suggest that efforts to promote optimal body weight may reduce the risk of heart failure. Our results are particularly relevant given the alarming trend toward increasing obesity in the United States.

    The authors have very neatly made it clear that their paper is a significant one on a timely and fashionable subject. It now becomes more likely to be published in a prestigious journal. They are more likely to get another government grant to do yet more obesity research. And, most importantly, they can make the pharmaceutical company that gave them a grant, Roche Laboratories, happy. Roche is the maker of the weight loss drug Xenical. (Once upon a time Servier Amerique, another source of grant money for the study, would have been happy with the results, too. But their drug, Redux, is no more.)

    Statistics Have Consequences: Statistics are the use of numbers to make a point. They are used not only to validate the money spent by companies and governments on research studies, but to sway public opinion. As such, we should be just as critical of them as we are of ideas. They have consequences. Sometimes big consequences. Take, for example, Newsweek’s story on the whole obesity issue:

    Now lawyers are filing class-action lawsuits against fast-food makers, charging that deceptive marketing practices encourage obesity. “For years I ate fast food because it was efficient and cheap,” says Caesar Barber, 56, a maintenance worker with heart disease and the lead plaintiff in an anti-fast-food lawsuit filed in New York last week. “I had no idea I could be damaging my health.” This fall, Northeastern University law professor Richard Daynard is holding a closed-door strategy session for nearly 100 lawyers interested in pressing similar claims against Big Fat, or what—in reference to “Big Tobacco”—they’re calling “Big Food.” “Five years ago, when we said we’d take junk-food makers to court,” says Daynard, “people laughed.

    Forget about personal responsiblity and free choice. Armed with numbers, these lawyers will make sure none of us enjoy a burger again. Don’t think they’ll be satisfied with the hamburger at the fast food restaurant. Hamburger at the butcher counter has to be just as bad, so why not go after the beef industry, too?

    UPDATE: The Washington Post offers up an example of the consequences of the obesity study statistics. This, from the director of the NHLBI, which provided a grant for the study:

    Obesity "is almost a primordial risk factor," said Claude Lenfant, director of the National Heart, Lung and Blood Institute. "If you have it . . . you are going to be pulled to all these problems, and eventually . . . to heart failure."

    Is that right? The study showed a ten year incidence of heart failure in the obese of 6.8%(women) to 10%(men). That means the overwhelming majority of the obese didn't have heart failure in the ten year time frame, not a 100% incidence as the good director implies.

    UPDATE II: Another consequence of the statistics, this time from the Boston Globe:
    "Overweight people who gain as little as 4 to 8 pounds can significantly increase their risk of heart failure."

    They can statistically increase their risk, but not clinically increase it at 4 to 8 pounds.
     

    posted by Sydney on 8/02/2002 06:23:00 AM 0 comments

    0 Comments:

    Post a Comment

    This page is powered by Blogger, the easy way to update your web site.

    Main Page

    Ads

    Home   |   Archives

    Copyright 2006