Top 30 Data
Problems and
Ways
Researchers Skew Data !
Special Thanks to Dr.
David Cohen for a few of these: Research
on the Drug Treatment of Schizophrenia:
A Critical Appraisal and Implications
for Social Work Education
Vol. 38, No. 2
(Spring/Summer 2002)David
Cohen
Prior to believing any research you
at a minimum need to assess the
following:
1) What
data have I not seen? They Hide
Bad Results!
In 1998, GlaxoSmithKline(GSK) instructed
staff to withhold clinical trial data
indicating Paxil had “no
beneficial effect”.
Canadian Medical Journal, 2004, vol.
170, #5, p. 783)
Eli Lilly failed to warn that
taking Prozac can lead to a 7
Fold Increase in suicidal ideation and
attempts (Breggin, 1995), and
GSK concealed again concealed that by
taking Paxil your 3 times more likely to
commit suicide than if they took a sugar
pill
(Healy, 2004)
Wyeth
Pharma also did not acknowledge that by
taking Effexor children are twice as
likely to become hostile and or suicidal
(Waters, Jan. 4 2004, In Berkeley.)
Remember, for a drug to be approved
through the FDA, you can conduct 100
clinical trials of a new drug, have
98 failures and bad outcomes, get
two that appear to not cause serious
harm to people and improve symptoms
and ONLY SUBMIT THE TWO for
review...AND have it approved.
2. Who
Really Wrote This Article? Was it
really unbiased like it appears?
GHOST WRITING?
Dr.
M. Angell, former Editor of the New
England J. of Med., exposed that
paid drug representatives were
writing articles that were being
given to researchers, professors and
supposedly independent research
clinics, and were asked to review
these articles and then submit them
for publication under their name.
Often only minor grammatical
changes were made, yet large grants,
consulting fees and future
incentives were given. (S.
Attkisson,CBS report Apr. 5, 2004.)
In response, Alene Dolan, former
Wyeth executive, responded that
“all drug companies are doing this.”
Merck & Co. ordered the name of one
of its epidemiologists purged from
the list of authors on a research
paper… when it was uncovered
they stated they did this
“in order not to have the data
appear more credible and less
biased.” (May 20, 2004
Wall Street Journal)
Ghostwriting is not new. Senator Estes
Kefauver exposed this in his investigations
of the drug industry in 1962. Now, 47 years
later, we are still talking
about what to do about it?
Ghostwriting occurs when someone makes
substantial contributions to a manuscript
without attribution or disclosure. It is
considered bad publication practice in the
medical sciences, and some argue it is
scientific misconduct. At its extreme,
medical ghostwriting involves pharmaceutical
companies hiring professional writers to
produce papers promoting their products but
hiding those contributions and instead
naming academic physicians or scientists as
the authors. To improve transparency, many
editors' associations and journals allow
professional medical writers to contribute
to the writing of papers without being
listed as authors provided their role is
acknowledged.
Should Be Done To Tackle Ghostwriting in the
Medical Literature? PLoS Med 6(2): e1000023
doi:10.1371/journal.pmed.1000023
http://medicine.plosjournals.org/perlserv/?request=get-document&doi=10.1371/journal.pmed.1000023
Who Reports, Matters! Epidemiologist
Bodil Als-Nielsen and her colleagues at the
University of Copenhagen looked at factors
that might influence researchers'
conclusions about a drug's efficacy or
safety4.
Their analysis of 370 trials showed that the
strongest predictor of the authors'
conclusions was not the nature of the data,
but the type of sponsor.
Trials
funded by for-profit organizations were
significantly more likely to reach a
favorable verdict than those sponsored by
charities or governments.
Critically,
the association was not explained by the
papers having more positive results. In a
study under review, Gøtzsche and his
colleagues show that industry-funded
meta-analyses — studies that combine results
from several clinical trials of a drug — are
similarly prone to draw positive conclusions
that are not supported by the data
Als-Nielsen,
B. , Chen, W. , Gluud, C. & Kjaergard, L. L.
J. Am. Med. Assoc. 290,
921–928 (2003).
3. POOR
DESIGN OF STUDY-
Dr. Streiner, a researcher with an
expertise in statistical design,
took 69 antidepressant clinical
trials & used a standard set of
statistical analysis guidelines used
by graduate students for their
dissertation and compared if the
clinical trial doctors, experts in
design, meet the BARE MINIMUM a
student would have to meet.
What did they find for the
studies doctors rely upon…were
they done to a minimum standard?
RESULTS: ZERO met the ideal criteria
for reporting and ONLY 9 of
69 met a MINIMUM standard level.
"...
what they do put forth still does
not even come close to using proper
statistical analysis to ensure
validity."
D. Streiner at el, Can. J. of
Psychiatry, 43 (10): 1026-30, 1998,
Dec.
So what type of problems show up?
Here are just a few, I mean JUST a
few, there are dozens!
ALTERING THE
LENGTH OF TRAIL TO ACHIEVE A
FAVORABLE OUTCOME
USING DOSES
OUTSIDE THE RANGE OF USUAL DOSING
ALTERING THE DOSE
SCHEDULE OF THE COMPARISON DRUG OR
TRIAL DRUG BASED ON BEGINNING
EFFECTIVENESS
REPEATEDLY
PUBLISHING THE SAME DATA SAMPLE
UNDER DIFFERENT AUTHORS
OMITTING DROP OUTS
4.
Placebo Washout-
Washout:
tactic whereby
researchers exclude those
with a History of failure to
respond to a SSRI dosing
regimen or individuals who
respond to placebo, thus,
our
study, to determine if
SSRI treatment successfully
treats depression, will only
use people who positively
responded to an SSRI for
depression.
(Wager
et al, 2003 and Emsile,
2002)
So,
what happens
IF you include those
"Washed Out"
patients...
Lets look at one of
the most respected
researchers
Dr. Trivedi, a
Professor with
Primary Appointment
at University of
Texas Southwestern
Medical School,
Department of
psychiatry and who
runs the Depression
and Anxiety
Disorders Program.
This response was
with regards to the
Sequenced
Treatment
Alternatives to
Relieve Depression
(STAR*D)
study, funded by the
National Institute
of Mental Health (NIMH).
The $35 million
study included 2,855
patients with
depression and
lasted six years. IF
THEY HAD INCLUDED
THE WASHOUT
PATIENTS...
less likely to
respond well to the
antidepressants
(39%) compared to
those included in
drug trials (52%)
less likely to
achieve remission
from depression
(25%) compared to
those included in
drug trials (34%)
more likely to
require psychiatric
hospitalization
(2.5%) compared to
those included in
drug trials (0.3%)
Wisniewski, S.,
Rush, J., et al,
2009, Can Phase III
Trial Results of
Antidepressant
Medications
Be Generalized to
Clinical Practice? A
STAR-D Report, IN Am
J Psychiatry, 166;
599-607. Online
April 1, 2009.
Trivedi, M.H., Rush,
A.J., Wisniewski,
S.R., Warden, D., et
al, "Factors
Associated with
Health-Related
Quality of Life
Among Outpatients
with Major
Depressive Disorder:
A STAR-D Report."
The Journal of
Clinical Psychiatry,
67(2):185-95., 2006
5. Who
Reported Improvement?
Patient or Paid Researcher?
6 Random Studies
Reviewed, 477
patients, 42
measures….
14 reported
significant
improvement by the
researcher... Yeah!
0 reported a
significant
improvement by the
patient...Bad!
Results reported
to doctors!- In
all 6:
greater
improvement with
SSRI Treatment.
Plus, Jureidini
stated none of the
studies asked about
self harm or
suicide, something
VERY common in
clinical trail
research, thus, the
"adverse effects are
downplayed."
J.
Jureidini, et al,
Efficacy and safety
of antidepressants
for children and
adolescents, BMJ,
Apr. 10, 2004; 328:
879-883
6.
Is the Study Blind, Probably
No, Double Blind, Triple
Blind?
Blind: A design
whereby the patient
and Hopefully the
research collecting
data and or
administering the
intervention does
not know who is
receiving the drug
and who is receiving
the placebo (sugar
pill).
HOWEVER, reports
indicate even when a
double blind measure
is used, in at
least 70% of the
cases antidepressant
research
blinds-designs are
broken.
If the reporting
biased researcher
knows who is getting
the drug they will
EXPECT a better
outcome, just like
if a Patient KNOWS
they got the real
drug, THEY TOO will
expect it will work
(and it does then!
Expectancy theory
and self fulfilling
prophecy).
C.
EVEN, E.
SIOBUD-DOROCANT, and
R. M. DARDENNES.
Critical
approach to
antidepressant
trials: Blindness
protection is
necessary, feasible
and measurable Br.
J. Psychiatry,
July 1, 2000;
177(1): 47 - 51.
Fisher and Greenberg (1993) argued
that the use of comparison drugs with obvious adverse effects contributes to
“unblinding” clinical trials, revealing to clinicians and patients who is
receiving active drugs or placebo.
7.
Just Do Not Report All The
Scores and Means?
Mean
scores were not
reported to the FDA
for some of the SSRI
trials on which
there was no
significant
difference between
the drug and placebo
groups, thus,
leading the FDA to
only rely upon the
mean scores that DID
show SSRIs to be
beneficial.
When they were
included, there was
no statistically
significant
difference from the
SSRI and the sugar
pill.
I. Kirsch &
T. Moore,
Prevention
and
Treatment,
Vol. 5, 23,
July 15,
2002.
Epidemiologist An-Wen Chan looked at the
protocols for 122 trials registered with two Danish ethics committees in
1994–95. More than half of the outcomes that the protocol said would be
measured were missing from the published paper, he found. Asked about
the missing outcomes, most authors simply denied the data were ever
recorded, despite evidence to the contrary. And when Chan looked at
those missing data, he found that inconclusive results were significantly more
likely to have been left out of the final publication.Chan,
A.-W. , Hróbjartsson, A. , Haahr, M. T. , Gøtzsche, P. C. & Altman, D. G. J.
Am. Med. Assoc. 291, 2457–2465 (2004). Article
8.
Treat Data Equally, When In
Fact It Is Not and Should
Not Be Treated Equally?
Unadjusted
means with different
sample sizes can
lead to inflated
results. For
Example, take 5
studies:
1 50 patients
with SSRI showing
improvement over
placebo
2 50 patients
showing SSRI showing
improvement over
placebo
3 500 patients
showing SSRI had no
improvement over
placebo
4 25 patients
showing SSRI showing
improvement over
placebo
DRUG CO. RESULTS:
75% Success Rate for
SSRIs over Placebo
(3 of 4 studies)
ETHICAL RESULTS:
Pool the data
together and 12%
showing improvement
compared to placebo
(total of all
patients in studies=
625 / 75 patients
showing better with
drug treatment
compared to sugar
pill).
Khan et al (2000) reported
means
(for 6 most widely
used
anti-depressants
submitted to the FDA
for drug approval)
that were not
adjusted for sample
size, and thus,
trials with very
small numbers of
participants were
given equal weight
with more reliable
data that came from
larger trials.
When means
scores were
calculated and
weighted, Kahn’s
results showing
antidepressant
effectiveness were
not replicated and
found.
An unpublished
letter by Dr. Jan Garland, Clinical Professor, Psychiatry University of British
Columbia and Clinical Head, Mood and Anxiety Disorders Clinic BC's Children's
Hospital appears below.
Letter to Editor, JAMA: As one of the many investigators in various
sites who was involved in the Pfizer sertraline pediatric depression trials
published in JAMA in August, 2003 (1), I was very concerned for a number of
reasons about the data analysis reported in this paper. The most striking
feature was the pooling of two trials which is not the orthodox way of handling
trial data. The pooled data, a sample size of 376 patients, showed a marginal
superiority of medication which is not likely to be clinically meaningful in
terms of risk/benefit balance. On selected improvement measures, only 10% more
patients improved on sertraline than on placebo, remission rates were not
different, and there were more discontinuations in the sertraline group due to
adverse effects including suicidality and aggression. Based on this
report, it appeared very likely that the individual trials were in fact
negative, but this possibility was not discussed by the authors. By pooling
the data, what might have been reported as two negative trials was instead
converted into one marginally positive trial with the conclusion that "sertraline
is an effective and well-tolerated short-term treatment for
children and adolescents with MDD".
9) Forget Telling Anyone
If Patients Dropped From
Study Because Side Effects!
Last Observation Carried
Forward (LOCF):
In LOCF analyses,
when a patient drops
out of a trial, the
results of the last
evaluation visit are
carried forward AS
IF the patient
continued to the
completion of the
trial without
further change.
Therefore, if a
patient started on
the trail drug, came
in a week or two
saying I Feel Great,
but then the drug
kicked in and they
dropped, the
researcher "carries"
the last observation
of "I feel Great"
all the way to the
end of the 12 week
trial...as if they
did great all along,
not telling anyone
they dropped and WHY
they dropped (due to
adverse drug
reaction).
versus
Observed Cases (OC):
In OC analysis, the
results are reported
only for those
patients actually
still participating
at the end of the
study, because drop
outs are considered
"treatment
failures", whereas,
LOCF skews the data
in favor of the
drugs. (Kahn
et al, 2000)
At the time that two
manufacturers
publicly
acknowledged that
their antidepressant
drugs (Paxil /
Seroxat and Effexor)
were unsafe, and
ineffective for
children, the
Journal of the
American Medical
Association (JAMA)
published a clinical
trial report by the
"Sertraline
Pediatric Study
Group" (i.e., Pfizer
sponsored
investigators)
claiming: "Sertraline
[Zoloft] -treated
patients experienced
statistically
significantly
greater improvement
than placebo." In
JAMA (Jan 1, 2004)
five psychiatrists
from the US and UK
question the
validity of the
claims, and indeed,
question the
integrity of the
method by which
those claims were
obtained BECAUSE
they claimed
'positive' findings
by "EXCLUDING
noncompleters and
nonresponders."http://www.ahrp.org/infomail/03/10/01a.html
Failure to
Distinguish Between
Noncompliance and
Nonresponse
Many discussions
of the effectiveness
of antipsychotic
drugs assert that
patients'
“noncompliance”
(defined as refusal
or inability to take
medication as
prescribed because
of its unpleasant
effects or patients'
“lack of insight”)
largely accounts for
high relapse rates
in schizophrenia.
Relapse is often
attributed to
noncompliance
despite a one-year
relapse rate of 40%
in patients who
take their
medication, compared
with a 65% relapse
rate for patients on
placebo (Hogarty &
Ulrich, 1998).
Interestingly, rates
of noncompliance,
typically 35% to 50%
of patients, are
similar to rates of
“nonresponse,” that
is, an observer's
judgment that the
treatment fails to
elicit the desired
response (e.g., the
patient shows no
change, worsens, or
develops intolerable
adverse effects).
Despite
widespread clinical
evidence of
nonresponse to
neuroleptics, it is
fair to say that no
discussion of this
phenomenon existed
in the entire
medical literature
until the arrival in
the United States of
clozapine, marketed
specifically for the
treatment of
“neuroleptic
non-responsive
patients.”
Nonresponse to
neuroleptic drugs is
commonly observed
even during
short-term treatment
when simply
suppressing behavior
and rendering the
patient passive will
rate as improvement
over a state of
psychotic agitation;
in studies reviewed
by Cohen (1997a), up
to two thirds of
patients in
eight-week long
neuroleptic trials
are rated as
non-responders even
after dose changes
or drug switches.
For these reasons,
the following
hypothesis deserves
investigation: in
the multifactorial
process that leads
patients to take or
not take variably
effective medication
that invariably
produces unpleasant
effects, but is
nevertheless viewed
by most
professionals as
the essential
component of
schizophrenia
treatment, these
professionals are
likely to interpret
or translate
nonresponse as
noncompliance.
10) Just Make Up Cut Off
Scores and Relative Risk To
Support Your Theory/Drug.
Cut Off:
Here an example best
serves the purpose
for understanding.
LETS say that 50% of
the drug Treatment
group responded
positively,
But 40% of the
placebo also
responded
positively.
Reporting the
difference as an
arbitrarily cut-off
score can make small
difference seem
quite large.
If 45% is the
cut-off score chosen
by the researcher as
“improvement” then
you have 100%
success for drug
group and 100%
failure by placebo.
Get it.
However,
Relative
Difference:
Reporting the
Relative Difference
between 40% and 50%
is performed like
this….50% minus 40%
is 10%, but
researchers are
likely to state 50%
is 25% higher
than 40% (10 out
of 40.), and this
will make it seem
like 25% of the
people responded to
the drug rather than
the 10%.
Tricky.
11)
Failure to Consider Social Functioning as an Outcome Measure
Schizophrenia refers to a persistent mental disorder with serious cognitive,
interpersonal, vocational, and social impairments. Of 2000 controlled
schizophrenia trials, however, a mere 6% evaluated social functioning while
81% evaluated psychiatric symptoms or behavior (Thornley & Adams, 1998).
Given that over 90% of participants in these trials, even during the last
decade, were hospitalized patients (and mostly American or British),
findings cannot be generalized to the vast majority of individuals diagnosed
with schizophrenia. Until measures of social and vocational functioning are
carefully integrated into clinical trials, such trials cannot provide meaningful
information about the real-life “effectiveness” of neuroleptics on domains
besides acute symptom exacerbation.
This point has long been recognized (e.g., Barnes, Milavic, Curson, & Platt,
1983; Diamond, 1985) but has not sufficiently influenced the design of
contemporary drug trials, even of atypicals, which are sometimes touted as
fitting well with the era of community treatment. For example, in a
meta-analysis of all 30 available RCTs comparing clozapine with conventional
neuroleptics, Wahlbeck, Cheine, Essali, and Adams (1999) observed a clinical
advantage for clozapine, and even that patients were more satisfied with their
treatment, but noted, “there was no evidence that the superior clinical effect
of clozapine is reflected in levels of functioning; on the other hand, global
functioning and pragmatic outcomes were frequently not reported” (p. 990).
12)
Failure to Consider the Impact of Abrupt Drug Withdrawal
Researchers and
clinicians have long noted that after patients stop taking their neuroleptic
medication, a good proportion of them seem to suffer a “relapse” (exacerbation
of psychotic symptoms). However, patients might stop their medication—or have it
stopped—gradually or abruptly. How abrupt is abrupt withdrawal? Gilbert, Harris,
McAdams, and Jeste (1995) located and reviewed 66 studies specifically reporting
outcomes after neuroleptic drugs were withdrawn from schizophrenic patients. In
over two thirds of the studies providing appropriate details, whether the drug
treatment had lasted for weeks, months, or years, it usually “was withdrawn
acutely over 1 day” (p. 175)! Re-analyzing Gilbert et al.'s data, Baldessarini
and Viguera (1995) found that among abruptly withdrawn patients (duration of two
weeks or less) the relapse rate was three times greater than among more
gradually withdrawn patients. This confirms that abrupt withdrawal constitutes a
powerful confound in drug research because it artificially inflates the relapse
rate, thus making indefinite or maintenance neuroleptic treatment seem much more
attractive. This author has previously argued (Cohen, 1997a) that without this
confound, maintenance treatment might be seen to confer no additional
advantage over gradual drug withdrawal, and, given the obvious risks such
treatment poses, might actually appear unjustifiable.
13)
Failure To Distinguish Between “Relapse” and “Withdrawal-Induced Psychosis
Closely related to the previous point, this issue has been raised explicitly
by Cohen (2001). Withdrawal or discontinuation syndromes should normally be
expected whenever drugs that significantly alter brain function—and trigger
changes in neurochemistry as the brain adapts to this alteration—are abruptly
withdrawn. Besides obvious motor disorders, discontinuation syndromes have been
outlined since the 1960s in studies of neuroleptic treatment of psychotic,
non-psychotic, and non-psychiatric conditions. Nevertheless, systematic
investigation of withdrawal syndromes has been thoroughly neglected (Breggin &
Cohen, 2000; Tranter & Healy, 1998). Syndromes following lithium,
antidepressant, and benzodiazepine withdrawal have been recognized as true
withdrawal effects that often frankly mimic the symptoms for which the
drug was originally prescribed (Goodwin, 1994; Schatzberg et al., 1997). Do
observed reactions following drug withdrawal constitute a reemergence of
psychiatric symptoms indicating the need for continued treatment, or
“discontinuation-associated iatrogenic risk” (Suppes, Baldessarini, Faedda,
Tondo, & Tohen, 1993, p. 131) indicating the need for less abrupt withdrawal?
Since Ekblom, Eriksson, and Lindstrom's (1984) early description of two cases
of rapid-onset (24-48 hours), very pronounced psychosis following abrupt
clozapine withdrawal, several virtually identical reports of rapid-onset,
“supersensitivity” withdrawal psychosis with serious deterioration have been
published—especially involving atypical neuroleptics and quick disappearance of
symptoms upon reinstituting the drug (e.g., Berecz et al., 2000; Durst,
Teitelbaum, Katz, & Knobler, 1999; Llorca, Vaiva, & Lancon, 2001). In one RCT,
Tollefson and colleagues (1999) observed 25% of patients abruptly withdrawn from
clozapine and switched to placebo for only three to five days develop the
following “core symptoms”: “delusions, hallucinations, hostility, and paranoid
reactions” (p. 435).
Given the above lines of evidence, it is legitimate to wonder how rapid-onset
psychoses following neuroleptic withdrawal or cessation might be defined in
numerous research projects, not to mention ordinary clinical settings. This
author believes that these psychoses are called “relapses,” are attributed to
patients' psychiatric conditions, and are seen as confirmation that neuroleptics
are “effective” and that their use must continue indefinitely. Do these
psychoses point to neuroleptics' effectiveness or neuroleptics' toxicity? We
will not know until researchers decide to test the sound hypothesis that they
are true withdrawal syndromes which would abate with gradual taper (Cohen,
2001).
14)
Failure
to Conduct Systematic Studies of Gradual, Patient-Centered and Patient-Directed
Drug Withdrawal
Although theoretical, clinical, practical, and ethical justifications for
discontinuing or withdrawing neuroleptic drug treatment abound, and although the
issue of withdrawal has enormous importance for consumers, rational drug
withdrawal may be the least studied topic in clinical psychopharmacology and the
one about which clinicians are most ignorant (Breggin & Cohen, 2000). In a
9-line algorithm for “treatment-refractory schizophrenia,” trying a drug-free
period is relegated to lines 8 and 9, after augmentation strategies (adding
drugs such as lithium), “very high doses” of neuroleptics, electroconvulsive
therapy, and the use of “investigational compounds” (Koshino, 1999).
There are many ways to conduct a study to investigate the potential
advantages of neuroleptic withdrawal and substitution with non-drug supports.
For example, one might select patients (and families) who strongly desire it,
educate them about effects to anticipate, help them set up peer and professional
support networks, proceed with a very gradual taper (e.g., approximately 10% of
the dose reduced every month or two) and adjust its speed based on patients'
regular feedback, introduce flexible psychosocial supports (in the form of a
personal assistant as proposed by the independent living movement for disabled
persons, for example), complement with changes in nutrition and exercise,
rehearse cognitive and behavioral strategies for symptom reduction, and avoid
major social, vocational, and residential changes during the first few months of
the program (as the risk of relapse following drug withdrawal seems non-linearly
distributed, with excess risk mostly occurring during the first 12 weeks). (See
Breggin & Cohen, 2000.) Despite the hundreds of different interventions that
have been tested for schizophrenia, this author is not aware of a single such
study in nearly 50 years of neuroleptic therapy. However, a few studies even
falling far short of this ideal have yielded positive results (e.g., Liberman et
al., 1994). Also, the passage of the Nursing Home Reform Act (part of the
Omnibus Bill Reconciliation Act of 1987, or PL 100-203) mandated yearly reviews
of the drug regimens of institutionalized dependents in nursing homes and in
institutions for the developmentally disabled as a condition of continued
federal funding. As a result, systematic neuroleptic dose reductions or
withdrawals have been conducted in many establishments. To date, published
evaluations of such withdrawal programs have been consistently positive (e.g.,
Thapa, Meador, Gideon, Fought, & Ray, 1994).
15)
Failure
to Study and Report Polypharmacy
Treatment of schizophrenic patients with a single drug is the exception
rather than the rule. In Western countries, these patients often simultaneously
receive more than one neuroleptic as well as various other central nervous
system depressants such as benzodiazepines, lithium, anticonvulsants, and
antiparkinsonians (Fourrier et al., 2000; Tognoni, 1999). With the advent of
managed care in the United States, pressures to decrease length of hospital stay
are correlated with increases in the number of patients receiving drugs and in
the number of drugs prescribed during an acute hospitalization (Baldessarini,
Kando, & Centorinno, 1995). Polypharmacy was previously declared irrational but
the arrival of new antipsychotics has provided fresh justifications for the
practice (Canales, Olsen, Miller, & Crismon, 1999). Barely understood but
clinically significant interactions occur with all agents commonly used in
conjunction with neuroleptics (Zumbrunnen & Jann, 1998). Furthermore, most
schizophrenic patients smoke heavily, and nicotine is known to decrease blood
levels of many neuroleptics (Kelly & McCreadie, 1999). The portrait is further
complicated by occasional findings that benzodiazepines are comparable in
effectiveness to conventional neuroleptics in the 4-week symptomatic treatment
of psychosis (Carpenter, Buchanan, Kirkpatrick, & Breier, 1999).
Despite the preceding points, published systematic evaluations of polydrug
regimens are virtually nonexistent. Yet, given the complex chemical cocktails
patients routinely ingest, often for years, it may be illusory to attribute any
perceived benefits to one particular class of drugs in the cocktail.
Furthermore, given that a small proportion of schizophrenic patients—probably
less than one fifth—take only a single drug, it is irresponsible to justify the
long-term polydrug treatment of schizophrenia by means of studies investigating
the relatively short-term administration of a single drug.
16)
Using Doses Outside the Usual Range for
Competitive Advantage
17) Substantially Altering the Dose Schedule of
the Comparison Drug for Competitive Advantage
18) Using Self-Serving Measurement Scales Known
to Favor One Group Over Another
19) Selecting the Major Findings and Endpoints
Post Hoc
20) Masking Unfavorable Side Effects as
"Emotional Lability" aka: suicidal ideation (as
in the case of Paxil
21) Repeatedly Publishing the Same or Similar
Positive Studies to Increase the Impact.
Richard Smith, a
former editor of the
BMJ
(which was the
British Medical
Journal)
and now head of European operations for the US
insurer United Health care, editors may be
biased towards positive results. In an article
published last May, titled "Medical
journals are an extension of the marketing arm
of pharmaceutical companies", he pointed out
that reprints of papers
reporting positive results can generate
millions of dollars, and that this might
influence editorial decisions6Smith,
R. PLoS Med. 2, e138 (2005).
22) Selectively
Highlighting Findings Favorable to the Sponsor:
Regency Latency Effect
23) Editorializing for the Sponsor in the
Abstract
24) Publishing the Obvious to Emphasize a Point
25) Touting Nonsignificant but Favorable
Differences and Negating Dropout Differences
Statistically
26) Selecting Subjects and Altering the Duration
of Trials to Achieve a Favorable Outcome
27) Withholding Unfavorable Results For Years
But Publishing Favorable Ones Immediately
(Decullier,
E. , Lhéritier, V. & Chapuis, F. Br. Med. J.
331, 19–22 (2005)ISI. For
example, a French team showed that only 40% of
trials registered with its country's ethics
committees in 1984 had been published by 2002,
despite more than twice as many having been
completed. Crucially, papers with inconclusive
results not only took longer to publish (see
graph), they were less likely to see the light
of day at all.
28)
Failure to Report Patients' Post-Treatment
Ratings
Standard procedure in RCTs suggests that
“Post-treatment evaluations should be continued
weekly for up to four weeks” (Irwin & Singer,
1988, p. 369). As we have seen above, this short
period probably ignores the confound of
neuroleptic residue. However, the principle of
rating patients after treatment remains
profoundly important because such ratings
provide perspectives on drug effects when
participants are no longer under the drug's
influence. Jacobs and Cohen (1999) have argued
that the evaluation of a psychotropic substance
is always incomplete until the user has
had a chance to look back upon the drug-taking
experience from a drug-free standpoint.
Healy and Farquhar (1998) provide a dramatic
illustration of how relevant the post-treatment
perspective can be. In their study, 18 of 20
normal volunteers having taken a single dose of
the antipsychotic droperidol reported no undue
discomfort whatsoever when questioned during
testing a few hours after ingestion. However,
when brought back for follow-up evaluation two
weeks later, all these subjects reported having
been under “extreme distress,” that “even when
they were denying discomfort they had been
acutely restless, impatient or dysphoric” (p.
116). Apparently, while under the drug's
influence, subjects were simply unable or
unwilling to admit to this intensely altered,
dysfunctional state.
Post-treatment ratings by participants in
clinical trials and other treatment studies are
rarely, if ever, reported. Researchers thus
cannot compare ratings made at different times
and analyze potential discrepancies between
them. Yet, such discrepancies constitute
possibly the most valuable means to understand
the actual psychological alterations produced by
psychotropic drugs as well as subjects'
accommodations to these alterations (Jacobs &
Cohen, 1999).
29) )
Failure to Deterine Sample Sizes Appropriately:
The
accuracy with which we can detect a
statistically significant difference between
treatment and control group depends on sample
size. To minimize the
likelihood of Type I and Type II errors, one
increases sample size or effect size;
this is the statistical power of the study,
determined by a simple formula (Elwood, 1998).
Thornley
and Adams (1998) performed a
meta-analysis of 2000 controlled trials of
the treatment of schizophrenia—86% of which
evaluated the effects of 437 different
drugs—published between 1948 and 1997. The
average number of trial participants was 65,
with no discernible change over time. Only 1%
raised the issue of the statistical power of the
study, and ONLY 3% had enough subjects (n=150)
in each treatment arm to show a 20% difference
in improvement in mental state between groups,
THUS, did not have correct sample sizes.
30)
)
Failure to Control for Drug Residue in the Body.
Many drug treatment studies use a “crossover”
design, where subjects are randomly
assigned to
treatment and control groups but switch groups
at some point in time.
Measurements are taken at the end of each phase.
Perhaps the chief
limitation
of this design is that
residual
effects of treatment—beneficial and adverse—may
persist after patients switch from one group to
the other, leading to contamination of the next
phase
(Fleming, 2000). To minimize this, some studies
might include a
“washout
period”
(usually one week) between changes. Is this time
interval sufficient to eliminate drug
residue before patients are switched to placebo
or other drugs? In a rat, traces of
a single small dose of haloperidol
can be detected 180 days after
administration (Cohen, Herschel, Miller, Mayberg,
& Baldessarini, 1980). The average half-life of
haloperidol (the time it takes for half of a
drug's quantity to be excreted) from human brain
tissue was calculated to be 6.8 days
(Kornhuber et al., 1999). Such findings suggest
that patients exposed to drugs are unlikely to
be free of its residual effects for several days
and or weeks, and perhaps for several months,
after withdrawal. Thus, researchers need to
ensure participants have not been exposed to
drugs prior to the trials, something not done in
any trials.
31) Doctors Do Not Give
Informed Consent Because They Most Often Do Not
Talk About Critical Side Effects.
The Just Say “Know” to Prescription Drugs
Campaign, aimed at getting one million people to
stop and reevaluate the medications they are
taking, reported that the percentage of
physicians who failed to explain the potential
adverse effects of the medications prescribed to
patients was significantly higher than the 65
percent reported in an independent study earlier
this week. The study conducted by researchers at
the David Geffen School of Medicine, University
of California, Los Angeles, concluded that when
initiating new medications, physicians often
fail to communicate critical elements of
medication use. But today, Derjung M. Tarn, MD,
head researcher for the study, told reporters
from the “Just Say Know” initiative that the
numbers were “significantly” understated. The
disparity results from the methodology applied.
According to Dr. Tarn, “We were very liberal.”
Dr Tarn told the team covering the story that
“if the doctor even said, you won’t experience
any side affects from the medication, we counted
that as a briefing. Otherwise the percentage
would have been much higher.” (Press
Release, Nov. 2006, Reporters for Just Say
'Know' to Prescription Drugs Initiative Find MDs
Failure to Discuss Side Effects 'Significantly
Higher' Than New Study Stated, In Natural News,
http://www.naturalnews.com/021118.html)
LASTLY, they simply
Misinterpret the Data:
Effectiveness,
Dangerousness, Comparison to
Other Treatments regardless
of the Results.
For example: It took over 20
years for the FDA to finally
agree to place Black Box
Warning Labels on SSRI
Anti-Depressants, even
though the data had been
reviewed, reviewed and even
reviewed by the FDA showing
clearly they CAUSE people to
commit suicide and become
aggressive. And even
afterwards, they still
recommend combination of
treatments as most
effective.
a) An analysis of
the efficacy data submitted
to the U.S. Food and Drug
Administration for approval
of the 6 most widely
prescribed antidepressants
approved between 1987 and
1999. Approximately
80% of the
response to medication was
duplicated in placebo
control groups, and
the mean difference between
drug and placebo was
approximately 2 points on
the 50-point and 62-point
Hamilton Depression Scale.
In Prevention & Treatment,
Volume 5, Article 23, posted
July 15, 2002, The
Emperor's New Drugs: An
Analysis of Antidepressant
Medication Data Submitted to
the U.S. Food and Drug
Administration, I.
Kirsch, T. Moore.
b) SSRI &
Suicide Increase- It
has now been well
established that SSRI
medications increase the
risk of suicidal ideation,
attempts and
aggressiveness. Fergusson,
Doucette, at el reviewed 702
TRIAILS, 87,650 patients,
and concluded from their
meta-analysis that
individuals taking an SSRI
were approximately 3 times
more likely to commit
suicide as compared to a
placebo
(D. Fergusson, S. Doucette,
at el, Association between
suicide attempts and
selective serotonin reuptake
inhibitors: systematic
review of randomized
controlled trials, In
Primary Care, BMJ, Feb. 18th,
2005.)
c) Consumer Reports Study. (M. Seligman,
1995, ) Patients
benefited very substantially
from psychotherapy, that
long-term treatment did
considerably better than
short-term treatment, and
that psychotherapy alone
did not differ in
effectiveness from
medication plus
psychotherapy (American
Psychologist, December
1995)
d) An article by Munoz
et on the efficacy of
psychological interventions
in treating depression is
discussed. Munoz et al
demonstrates that
psychotherapy is as
effective as medication
Psychotherapy for depression:
(Antonuccio, D., No stronger
medicine In The American
Psychologist;
Washington; Jun 1995.)
e) The
psychological interventions
seem to be at least as
effective as medication for
treating depression.
(Psychotherapy versus
medication for depression:
Challenging the conventional
wisdom with data
Professional Psychology:
Research and Practice;
Arlington; Dec 1995; .)
f) SSRIs are no more effective than older anti-depressant
drugs, which also were not
that effective in the long
term. Selective
serotonin reuptake
inhibitors: meta-analysis of
efficacy and acceptability.
Song F. et al. BMJ 1993 Mar
13;306(6879):683-7.
This study presents the
results of a meta-analysis
of 63 randomized
controlled studies
comparing the efficacy of
selective serotonin reuptake
inhibitors (SSRIs) to that
of tricyclic antidepressants
as first line treatment for
depression. The analysis
revealed that SSRIs are
no more effective than
tricyclics in the
management of depression.
Dropouts rate were similar
for both class of drugs, but
slightly more patients
reported side effects as a
reason for dropping out in
the tricyclic group compared
to those in the SSRI group
(18.8% v 15.4%). The authors
concluded that "Routine use
of selective serotonin
reuptake inhibitors as the
first line treatment of
depressive illness may
greatly increase cost with
only questionable benefit".
This study is important
since it shows that SSRIs
are not significantly better
than classic antidepressant
drugs, in spite of
advertising campaigns
claiming the superiority of
SSRIs in the treatment of
depression due to their
excellent safety records.
The underreporting of
SSRI-related adverse
reactions is also partly
responsible for the vast
increase in prescribing
rates of these drugs.
g) The cost of antidepressant drug therapy
failure: a study of
antidepressant use patterns
in a Medicaid population.
McCombs JS, et al. J Clin
Psychiatry, 51 Suppl():60-9;
discussion 70-1 1990 Jun.
The results of this study,
conducted on a cohort of
2344 patients with major
depressive disorders on
antidepressant medications,
show that only in 3.5%
of patients the pattern
of use of antidepressant was
indicative of
successful
treatment. In 12.6 of
patients, pattern of
antidepressant use suggested
treatment failure. In the
remaining 84% of cases the
efficacy of treatment could
not be clearly classified.
h) Recently in
Newsweek and in J. of
Pediatrics they reported
that suicide rates have
jumped 18% since the SSRI
black box warning labels
were placed on the
anti-depressant drugs and
the rates of prescriptions
had fallen. However, what
they failed to mention is
that the warning did not
come until the end of 2004,
well after the rate jumped!
They also failed to mention
then that if any increase
did occur actually following
the notice, it very well
could be due to other
variables, such as being
placed from an SSRI to a
neuroleptic drug, mood
stabilizer drug, simply from
drug withdrawal from the
SSRI (e.g. rebound syndrome,
feelings of hopelessness due
to another drug not
working), the increase in
stress in the world from the
war, and the other 1,000
possible variables that
continue to create more
despair in our society and
those who are sensitive to
such stressors.
Doctors MUST be very critical of
the data and poor designs of our
research in psychology and psychiatry.
They must remember, the research is PAID for by
Pharmacutical money. 9 out of 10 times a
researcher paid by a particular drug company
finds their product favorable and performing
better then the competition! (Davis J., Am J of
Psychiatry, March, 2006).
AND now, drug companies are paying doctors to
review other manufactuer's drugs and guess what,
those researchers tend to find those drugs
Unfavorable! (
May 9, 2006,Op-Ed Contributor
Generic Smear Campaign, By Daniel Carlat, MD,
Newburyport, Mass, professor at Tufts
Medical School and editor in chief of The Carlat
Psychiatry Report).
If
you don't understand this, one simply can not
practice ethically (i.e. as you will be unable
to really know what to believe). Here are
a few more things to consider and research
yourself...
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