Reprinted from RedFlagsWeekly.com June 23, 2003
Manufacturing Certainty
By David Crowe
 
"Tests indicate you may have a chance of being infected. There is a
probability that, if infected, you will become ill within the next 10
years and a possibility that you never will. If you take the drugs, there
is a significant risk of great decline in your quality of life, and a
possibility that the drugs will kill you."
 
===
 
Although it might be the truth, you are unlikely to hear a doctor saying
any of the above, because neither the doctor nor the patient can deal with
the uncertainty that it admits.
 
Technology is the practical application of science, and one of the major
distinctions is its need for certainty. Studying semiconductor physics can
be a beautiful thing, but it remains pure science until a discovery
results in products that can be reliably manufactured and used. Biological
systems, especially human beings, are far more complex and less
predictable than inorganic systems. Medicine, being the practical
application (technology) of human biologic science, requires a high degree
of certainty before new discoveries can be applied.
 
Unfortunately, a feeling of certainty can be manufactured, and there are
many motivations to do so.
 
On October 12, 2001, a CDC scientist phoned then mayor of New York City,
Rudolph Giuliani, to tell him that, "with a high degree of probability", a
sample of skin from an NBC employee in Manhattan was positive for
cutaneous anthrax. The CDC scientist had this confidence, because he had
confidence in a test that a colleague had previously developed. But this
was not good enough for Giuliani. "Don’t give me that stuff. Is it anthrax
or not?" An unqualified "Yes" from the CDC scientist kicked off the
anthrax crisis in New York City. [Altman, 2001]
 
A "No," under the circumstances, would have been almost impossible. The
consequences for the CDC and Giuliani, if others had later confirmed
anthrax, would have been devastating to their careers. While reporters
might have questioned the accuracy of a "No," there was not a whisper of
dissent on the "Yes."
 
Medical tests are a common way to manufacture certainty. A test usually
measures a ‘surrogate marker’ for a condition, something that is otherwise
invisible, or at least much more difficult, expensive and time consuming
to find directly. A nicely packaged test can instill confidence and, in a
sense, create a disease when a positive test result is accepted without
any symptoms being present.
 
An HIV test is perhaps the best example. A positive test is devastating to
most people, particularly those who are outside the traditional risk
groups and completely unprepared. Feelings of doom come, not surprisingly,
even to those who are perfectly healthy at the time of the test [Gala,
1992].
 
Desperate feelings lead to desperate actions, and, for HIV, the desperate
action is to take AIDS medications. Antiviral drugs have fatal side
effects, and even those who avoid that are likely to experience a
destruction of their quality of life, even if they were completely healthy
at the time of the test [Goodman, 2002].
 
Obviously, the doctor and patient must feel certain that tests are
accurate. If the patient was told that there was only a 90% certainty that
the test was accurate they might be much less likely to take medications
carrying such risks.
 
The almost universal impression among scientists, the media, governments
and the general public that HIV tests are accurate enough to stake your
life on is, strangely enough, so strong because there is no absolute
measure against which the tests can be validated. Instead of accepting
this as uncertainty over whether the tests are meaningful, it is accepted
as lack of proof that they are not highly accurate.
 
All that Robert Gallo’s and Luc Montagnier’s research teams found was a
high correlation between their antibody tests and AIDS. People with AIDS
had a high probability (88% in the case of Gallo [Sarngadharan, 1984]) of
testing positive, and people without AIDS had a very low probability of
testing positive. A huge conceptual leap over a chasm of uncertainty was
to conclude from this evidence that a positive test in a healthy person
proved they had a condition that would inevitably kill them.
 
The science of HIV testing has progressed since then, but only in
technological ways (such as the use of monoclonal antibodies); the
original logical uncertainties still exist. Almost every scientific paper
concerning HIV tests still uses antibody tests as the "gold standard."
This is unusual because antibody tests, even if one ignores the
possibility of cross reactions, can only prove past exposure to a virus,
not current infection.
 
HIV antigen tests, which are more direct, are only positive in about half
the people who are HIV-antibody positive [McKinney, 1991; Semple, 1991].
This finding is explained away through an immune reaction that masks the
antigen. But, this implies that the HIV infection is conquered, which is
not compatible with the notion that HIV infection is incurable. Virus
cultivation, often erroneously called 'isolation' is an even older method
than antibody testing for HIV, but apart from being time consuming,
expensive and difficult to perform, it also is negative quite frequently,
and a positive antibody test usually trumps a negative culture [Layon,
1986] (and vice-versa [Eur Coll, 1991; Imagawa, 1989]).
 
The major new test since the early days of AIDS is the Polymerase Chain
Reaction, often called 'viral load' when used for HIV tests. This also
takes a back seat to antibody tests [Roche, 1996], likely because it is so
ultra-sensitive that the risk of a false positive is high. Furthermore,
detecting a snippet of genetic material (RNA or DNA, depending on the type
of test) does not prove that the entire genome is present, and obviously
does not prove that infectious virus particles are present. This test is
particularly uncertain because the genetic material does not come from
purified virus. Even accepting the test’s ability to specifically detect
HIV DNA or RNA, one research team estimated that only one infectious virus
particle was present for every 60,000 measured by viral load! [Piatak,
1993; Roche, 1996]
 
All HIV tests are indirect, even virus 'isolation' by culturing.
Consequently, some 'gold standard' is necessary to validate them [Cleary,
1987; Abbott, 1997; Meyer, 1987; Daar, 2001; Papadopulos, 2003]. The only
standard that is reasonable for a virus is actual purification direct from
body fluids of people who are HIV infected and the inability to purify
from people who are not. Virus purification would allow the proper
characterization of the virus, so that antigens, antibodies, DNA and RNA
that are generally believed to be from HIV could be proven to be from HIV
(or not).
 
Without a ‘gold standard’ for HIV infection the only way to validate the
test is by repeating the test or by comparing it against different (also
unvalidated) tests. This can establish the reproducibility of the test,
but not its specificity (ability to react with the target and therefore
avoid false positives) or sensitivity (ability to react to cases of
infection and therefore avoid false negatives).
 
US army researchers claimed that the specificity of HIV antibody tests was
only 1 false positive out of 135,187 tests [Burke, 1988]. However,
although they claimed to have established a high specificity for antibody
tests, they were actually verifying only reproducibility, and the
researchers did not actually prove that the 15 people from this low risk
population who were deemed to have had true positive tests actually had
the virus in them.
 
Modern diseases that are blamed on a virus are often little more than the
test because the disease can exist without clinical symptoms. There is an
average of 10 years between becoming HIV positive and the first signs of
AIDS in both rich countries [Munoz, 1995] and poor [Morgan, 2002]. In that
time the HIV test is the only sign that anything is wrong. Worse yet, a
low CD4 cell count test can result, in the United States, in a diagnosis
of AIDS (not just HIV infection), again without any clinical symptoms. But
even without symptoms a diagnosis of HIV infection or AIDS will still
often result in treatment because of everyone’s confidence in the tests.
 
Other viral diseases might not have a long incubation period, but the test
still plays the prime role in defining the condition. West Nile disease,
for example, is associated with no illness in the majority of people who
test positive, and serious illness in only about 1 out of 150 [Petersen,
2002]. The symptoms, when they do occur, are indistinguishable from many
other viral diseases [CDC, 2002]. This has not resulted in a call to
question the accuracy of the tests. Instead, the certainty that any
symptoms found along with a positive test are due to the virus is so great
that when the symptoms are uncharacteristic scientists want to add them to
the definition, rather than to ask whether the tests are accurate and
whether presence of a virus is proof of pathogenicity [Glass, 2002; Leis,
2002]
 
One of the strange phenomena with HIV and AIDS science was overwhelming
feeling of certainty that crept over scientists in the mid-1980’s. Only
3.4% of papers in 1984 associated a reference to Gallo’s original 1984
papers on HIV (HTLV-III) with "explicit and unqualified" assertions that
HIV caused AIDS but this increased to 25% in 1985 and 62% in 1986, even
when these papers were referenced alone. [Epstein, 1996]
 
Kary Mullis, who received the 1993 Nobel for Chemistry (ironically because
of his invention of the Polymerase Chain Reaction) has asked many
scientists for a set of references that constitute proof that HIV causes
AIDS [Duesberg, 1996] and has not yet received them. Yet, even without
this proof being written down in a scientific paper, certainty still
reigns.
 
SARS illustrates how quickly researchers can manufacture certainty today.
The mainstream media (which claim to be "responsible") have ensured us
that everyone knows SARS is caused by a Coronavirus. Reports from Dr.
Frank Plummer, one of Canada’s top virologists, that a diminishing
percentage of patients (30% by mid-April) are testing positive do not
dissuade them from this belief [Altman, 2003]. Everyone knows that there
is no possible explanation for all the patients having some connection
with the original cases other than an infectious agent, even though for
some outbreaks there was no solid connection, and tautologically, the
epidemiologic connection is supposed to be present before diagnosing SARS
(as opposed to some other disease with similar symptoms). And, everyone
also knows that there is no other explanation for the severity of the
disease, certainly not the new phenomenon of aggressive prescription of
steroids and the antiviral ribavirin that occurred as the fear of the
outbreak spread [Koren, 2003].
 
What HIV/AIDS science took two years to do, SARS science took only two
months to accomplish. I predict that a Coronavirus test will soon become
part of the SARS case definition, which will immediately create a 100%
correlation between the Coronavirus and SARS symptoms. Just as with AIDS,
the same symptoms without a positive test will be another disease, and not
taken nearly as seriously.
 
People demand simple answers to complex problems and modern medical
science delivers. We are told that tests are highly accurate, that drugs
will cure conditions or, if that is not possible, that they are the best
bet. We are told that environmental conditions play little role in modern,
emerging diseases. Alternative therapy is scoffed at because it has not
been ‘proven’ effective through randomized, placebo-controlled clinical
trials.
 
The fundamental reason why this confidence game continues to be played is
because of human laziness. It is much easier to learn about science by
rote than by examining evidence and making up one’s own mind. Obviously,
not every pronouncement on science can be taken seriously, so the status
of a person or publisher becomes the way to distinguish between "good
science" and "junk science." Many people do not believe that they have the
ability to understand scientific papers. The media, even most science
reporters, are much more productive if they also adopt this attitude.
Among scientists, there is a hierarchy that is constructed from the
anonymous peer review system for publication and grant support. This
allows longer-serving officers of science to anonymously subvert the
attempts of younger scientists (and outsiders) to reappraise current
dogmas, by denying them the ability to publish and obtain research
funding.
 
Further Reading
 
[Abbott, 1997]    Human Immunodeficiency Virus Type 1 HIVAB HIV-1 EIA.
Abbott Laboratories. 1997 Jan.
 
[Altman, 2001]   Altman LK. When everything changed at the CDC. NY Times.
2001 Nov 13.
 
[Altman, 2003]   Altman LK. Virus Proves Baffling, Turning Up in Only 40%
of a Lab's Test Cases. NY Times. 2003 Apr 24.
 
[Burke, 1988]     Burke DS et al. Measurement of the false positive rate
in a screening program for human immunodeficiency virus infections. N Engl
J Med. 1988; 319(15): 961-4.
 
[CDC, 2002] Encephalitis or Meningitis, Arboviral (includes California
serogroup, eastern equine, St. Louis, western equine, West Nile,
Powassan): 2001 Case Definition. CDC. 2002 Sep 6.
 
[Cleary, 1987]     Cleary PD et al. Compulsory premarital screening for
the human immunodeficiency virus: Technical and public health
considerations. JAMA. 1987; 258: 1757-62.
 
[Daar, 2001] Daar ES et al. Diagnosis of primary HIV-1 infection. Ann
Intern Med. 2001 Jan 2; 134(1).
 
[Duesberg, 1996] Duesberg P et al. Inventing the AIDS virus. Regnery.
1996.
 
[Epstein, 1996]   Epstein S. Impure science: AIDS, activism, and the
politics of knowledge. University of California Press. 1996.
 
[Eur Collab, 1991]     European Collaborative Study. Children born to
women with HIV-1 infection: natural history and risk of transmission.
Lancet. 1991; 337: 253-60.
 
[Gala, 1992] Gala C et al. Risk of deliberate self-harm and factors
associated with suicidal behaviour among asymptomatic individuals with
human immunodeficiency virus infection. Acta Psychiatr Scand. 1992 Jul;
86(1): 70-5. Also Serunkuuma R. Living with HIV/AIDS: a personal
testimony. AIDS Health Promot Exch. 1994; (3):7. Also Call to explore HIV
test and suicide link. Nurs Times. 1994; 90(30):9.
 
[Glass, 2002]      Glass JD et al. Poliomyelitis Due to West Nile Virus. N
Engl J Med. 2002 Oct 17.
 
[Goodman, 2002] Goodman L. The problem with protease. Poz. 2002 Sep;
33-8.
 
[Imagawa, 1989] Imagawa DT et al. Human immunodeficiency virus type I
infection in homosexual men who remain seronegative for prolonged periods.
N Engl J Med. 1989 Jun 1; 320(22): 1458-62.
 
[Koren, 2003]     Koren G et al. Ribavirin in the treatment of SARS: A new
trick for an old drug? CMAJ. 2003 May 13; 168(10): 1289-92.
 
[Layon, 1986]     Layon J et al. Acquired immunodeficiency syndrome in the
United States: a selective review. Crit Care Med. 1986; 14(9): 819-27.
 
[Leis, 2002]  Leis AA et al. A poliomyelitis-like syndrome from West Nile
Virus infection. N Engl J Med. 2002 Oct 17.
 
[McKinney, 1991] McKinney RE et al. A multicenter trial of oral zidovudine
in children with advanced human immunodeficiency virus disease. N Engl J
Med. 1991 Apr 11; 324(15): 1018-25.
 
[Meyer, 1987]     Meyer KB et al. Screening for HIV: can we afford the
false positive rate? N Engl J Med. 1987; 317(4): 238-41.
 
[Morgan, 2002]   Morgan D et al. HIV-1 infection in rural Africa: is there
a difference in median time to AIDS and survival compared with that in
industrialized countries? AIDS. 2002; 16: 597-603.
 
[Muñoz, 1995]    Muñoz A et al. Long-term survivors with HIV-1 infection;
incubation period and longitudinal patterns of CD4+ lymphocytes. J Acquir
Immune Defic Syndr. 1995 Apr 15; 8(5): 496-505.
 
[Papadopulos-Eleopulos, 2003]     Papadopulos-Eleopulos E et al. High
rates of HIV seropositivity in Africa - alternative explanation. Int J STD
AIDS. 2003; 14: 426.
 
[Petersen, 2002] Petersen LR et al. West Nile virus: a primer for the
clinician. Ann Intern Med. 2002 Aug 6; 137(3): 173-9.
 
[Piatak, 1993]     Piatak M Jr et al. High levels of HIV-1 in plasma
during all stages of infection determined by competitive PCR. Science.
1993 Mar 19; 259: 1749-54.
 
[Roche, 1996]     Amplicor HIV-1 Monitor Test. Roche. 1996.
 
[Sarngadharan, 1984] Sarngadharan MG et al. Antibodies Reactive with Human
T-Lymphotropic Retroviruses (HTLV-III in the Serum of Patients with AIDS).
Science. 1984 May 4; 224: 506-8.
 
[Semple, 1991]   Semple M et al. Direct measurement of viraemia in
patients infected with HIV-1 and its relationship to disease progression
and zidovudine therapy. J Med Virol. 1991; 35: 38-45.