Discretizations

The NYTimes says extra sodium threatens all but a new study says normal people just excrete it

The XMRV / CFS (Chronic Fatigue Syndrome) fiasco is simply an example of how science works

European study finds increased risk of death (CVD and heart failure) for Avandia vs pioglitazone beginning shortly after initiation, and disappearing upon discontinuation, of treatment

Can Vitamin D prevent fractures and even cancer? The evidence is mostly all over the board

Paternal, but not maternal, smoking is associated with an increased risk of childhood leukemia

You Missed The Zombie Apocalypse

I meant to put this up on Halloween but a trial got in the way; it's only relevant to mass tort litigation if you've been paying attention:

It's no longer contested that certain microbes can hijack the brains of invertebrates and of vertebrates, including mammals.

But is there evidence that microbes can affect human behavior? Lots:

Do gut microbes influence the central nervous system? Yes.

Do microbes talk to your brain? Yes.

Can microbes make you anxious? Yes.

Are microbes likely the cause of schizophrenia and other behavior disorders? Yes.

Do they also cause personality disorders like neuroticism? Yep. (link to follow ;) )

Discretizations

Causation Just Seems To Get Harder and Harder

See for example:

The hygiene hypothesis does not mean that you should expose your kids to pathogens.

Genes + nitrosamines + helicobacter pylori = pancreatic cancer?

Drinking and smoking does lead to head and neck cancers; but not in the sense that you mean.

and,

Parvovirus B19 infection  in children may not be so benign after all; it may be the first step on the path to childhood leukemia

But always remember, correlation does establish causation. Sal Khan explains it in Correlation and Causation.

 

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It's Not That The Analytical Gap Was Too Wide

It's that analytical gaps are bridged by evidence and there was no evidence that therapeutic doses of Tylenol cause cirrhosis of the liver. Rather than simply saying so the court in Ratner v. McNeil-PPC, Inc.  veered into the always unenlightening analytical gap width assessment:

"The plaintiff did not put forward any clinical or epidemiological data or peer reviewed studies showing that there is a causal link between the therapeutic use of acetaminophen and liver cirrhosis. Consequently, it was incumbent upon the plaintiff to set forth other scientific evidence based on accepted principles showing such a causal link. We find that the methodology employed by the plaintiff's experts, correlating long term, therapeutic acetaminophen use to the occurrence of liver cirrhosis, primarily based upon case studies, was fundamentally speculative (see Lewin v County of Suffolk, 18 AD3d 621), and that there was too great an analytical gap between the data and the opinion proffered. We emphasize that when an expert seeks to introduce a novel theory of medical causation without relying on a novel test or technique, the proper inquiry begins with whether the opinion is properly founded on generally accepted methodology, rather than whether the causal theory is generally accepted in the relevant scientific community."

Why not just say "plaintiff's experts have no evidence that their theory is true"? In the court's defense it was struggling to reconcile its ruling with Zito v Zabarsky in which it had previously held that in the case of a "new drug" plaintiffs need not wait for evidence (e.g. epidemiology) as otherwise:

" [a] strict application of the Frye test may result in disenfranchising persons entitled to sue for the negligence of tortfeasors. With the plethora of new drugs entering the market, the first users of a new drug who sustain injury because of the dangerous properties of the drug or inappropriate treatment protocols will be barred from obtaining redress if the test were restrictively applied.

(I am here reminded of a benzene / CML case I once tried in which plaintiff's counsel in closing bellowed "Mr. Oliver says that not enough workers have gotten CML to prove benzene is the cause of their cancers. I hope when it's his turn to speak that he answers this question: How high must the bodies be stacked before his client will admit that benzene was the cause?")

Anyway, as you can see the court was confronted with its prior opinion in which it had held that a well conceived hypothesis, though lacking utterly any evidence to support it, was enough to get a "new drug" case to the jury. Thus its effort to distinguish the two cases via "Tylenol is not a new drug" (more to the point would have been "there's been ample opportunity to test  your theory via retrospective epidemiological studies and yet still you have no evidence") and thereafter a retreat into the bushes of "analytical gaps".

Karl Popper said that science proceeds by conjecture and refutation. You think up a theory about how some aspect of nature works, determine what predictions follow from it, and then check  to see if the predictions hold up. That last part is what's called evidence. Without it you're left with nothing but a more or less educated guess; and that isn't enough to warrant depriving a citizen of life, liberty or property. That's what Daubert was all about.

Finally, does it look to you like "deduction" has a different meaning in New York? Here it seems to refer simultaneously to the method  by which a general rule is induced from observations and the method by which a causal association is inferred from the rule you've just induced, thus:

 "Generally, deductive reasoning or extrapolation, even in the absence of medical texts or literature that support a plaintiff's theory of causation under identical circumstances, can be admissible if it is based upon more than mere theoretical speculation or scientific hunch (see Zito v Zabarsky, 28 AD3d at 46; see also Black's Law Dictionary [9th ed 2009] [defining "extrapolation" as "(t)he process of estimating an unknown value or quantity on the basis of the known range of variables" and "(t)he process of speculating about possible results, based on known facts"]). Deduction, extrapolation, drawing inferences from existing data, and analysis are not novel methodologies and are accepted stages of the scientific process.

For example, in Zito v Zabarsky (28 AD3d 42), this Court expressly recognized that extrapolation or deduction is warranted in instances where the theory pertains to a new drug."

 Let me know. Thanks.

 

 

"Does It Matter Whether One Risk Is Of A Minor Adversity To Many People While Another Is A Major Impact On A Few?"

Let's face it, the linear no-threshold argument has nothing to do with logic, nor even public health (though everything to do with redistributionist politics). For the politics-free argument that it carries the seeds of its own demise see:

"By looking only at one dimension at a time – one agent to which more or less exposure can occur and one endpoint affected by it – it is possible to think that one is being protective by assuming a linear/no-threshold dose-response. But if this idea is widely applied, then the world is cast as sitting on a multidimensional knife’s edge in which any change in one dimension affects everything else with no level of tolerance."

That's a profoundly good sentence.

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Hydraulic Fracturing (a/k/a fracing a/k/a fracking) Roundup

Yesterday our energy partners reported on the EPA's claim of water contamination in Wyoming due to hydraulic fracturing fluids used in natural gas production. Today The New York Times is wondering whether earthquakes can be blamed on fracing. Thus it sounds like a good time to provide you some links to recent studies of the process that you may find of interest. Here goes:

Scientific American has the truth about "fracking" and thinks that engineering science has gotten ahead of safety

The comment period for New York's Supplemental Generic Environmental Impact Statement just ended and some public health advocates don't like it

Two miles underground amidst the shale and gas, where the pressures and temperatures are extreme lives a fascinating community

And some of its members traveled there via drilling muds

Finally, some public health advocates and journals tend to overlook one important aspect of the energy business - that it provides lots of high paying jobs and benefits from free laundry service to transportation to health care and often excellent pension benefits; not to mention an interesting and disciplined work environment - a big boost to socioeconomic status which bestows dramatic economic, physical and even mental health benefits that echo through succeeding generations. So let's not forget when balancing risks and benefits of fracing to add the profound public health benefits that flow from good jobs to the benefit side of the ledger.

What Do Reputable Scientific Organizations Consider To Be Evidence?

The new IOM report, "Breast Cancer and the Environment: A Life Course Approach", again emphasizes the difference between how scientific panels go about making a causal inference and the approach too often approved of by credulous judges often insecure about their own ability to think critically and mesmerized by the jargon-laden pronouncements of credentialed experts. Beginning on page 82 under "Hierarchy of Studies" and followed by "Categories of Evidence" the report does a great job of detailing what counts as evidence and the methods and criteria used by organizations like the International Agency for Research on Cancer, the National Toxicology Program, the World Cancer Research Fund / American Institute for Cancer Research in going about collecting, assessing and weighing evidence when making causal judgments. They even put together a helpful summary of the classification systems (see Appendix C, "Classifications Systems Used in Evidence Reviews" at page 312).

Here are a couple of takeaways: (1) "The criteria aim to be explicit about the weight, or relative importance, given to studies in humans and in animals or other experimental systems"; and (2) "Strong and consistent positive epidemiologic evidence in rigorously conducted studies is prima facie evidence that the substance is a risk factor." You will quickly note upon reviewing the summary of systems of causal inference that none support anything like the notion embraced by the court in Milward v. Acuity that an expert weighing a subset of the data (each piece of which is either weak, irrelevant or inconsistent) upon the scales of his personal scientific judgment can by "reasoning to the best explanation" reliably reach a causal inference  - especially in the complete absence of any epidemiological evidence to support it. Indeed the "atomization" of evidence decried by the Milward court and those in the "public health movement" who promote mass tort litigation is exactly what IARC, IOM, NTP, EPA and WCRF/AICR do - they assess each piece of evidence, they do it transparently, they do it according to rules laid down before they even go looking for the evidence and then they weigh what's left; again, according to weighting systems that are explicit, consistent and established before the first piece of evidence is examined.

The idea that knowledge comes from scientists taking a "holistic approach to the data" and applying their personal judgment to it is, to be blunt, hooey. That may be a way to arrive at a testable conjecture but without the conjecture passing a test of its predictive power (e.g. a rigorous epidemiological study) it remains nothing but a bald, personal opinion with no foundation beyond the ipse dixit of the expert who induced it.

 

What To Do When a Miracle Drug Is Found to be The Cause of a Host of Unexpected Maladies?

There's an epidemic of immune disorders in America.  Allergies (especially food allergies), asthma, atopy, hypersensitivity disorders including Stevens Johnson Syndrome, Crohn's disease, type1 diabetes, obesity and more are being laid at the feet of perinatal use of antibiotics.  Evidence is mounting rapidly that the use of antibiotics in newborns or their mothers disrupts the intestinal microbiota essential to a well-functioning immune system. The consequences are seen in the host of immune-related disorders which have become perhaps the most significant cause of morbidity and mortality in the United States today.  For a new primer try: Perinatal Programming of Asthma: The Role of Gut Microbiota.

So what should we make of a drug that when first administered saved a young woman, allowing her to have a family and to live to 90* and yet which (because the role that gut bacteria play in generating a healthy immune system was decades away from being known) would eventually precipitate a wave of autoimmune disease in the United States?  If antibiotics are indeed responsible for as many cases of debilitating illness as is now widely suspected, should we ban them and vilify their makers?  Should their makers be driven to ruin by our tort system to ensure that nothing like penicillin is ever unleashed on the public again?  Or should we instead finally recognize that we must take the good with the bad;  that with every advance comes risk; and, that unintended consequences, the nature and extent of which may not be known for years to come, is the price of progress?

* The First American Civilian Saved by Penicillin

The first U.S. civilian whose life was saved by penicillin died in June 1999 at the age of 90 years. In March 1942, a 33-year-old woman was hospitalized for a month with a life-threatening streptococcal infection at a New Haven, Connecticut, hospital. She was delirious, and her temperature reached almost 107 F (41.6 C). Treatments with sulfa drugs, blood transfusions, and surgery had no effect.

As a last resort, her doctors injected her with a tiny amount of an obscure experimental drug called penicillin. Her hospital chart, now at the Smithsonian Institution, indicates a sharp overnight drop in temperature; by the next day she was no longer delirious. She survived to marry, raise a family, and meet Sir Alexander Fleming, the scientist who discovered penicillin. In 1945, Fleming was awarded the Nobel Prize in Physiology and Medicine, along with Ernst Chain and Howard Florey, who helped develop penicillin into a widely available medical product.
 

Discretizations