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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 uponwere 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)ISIFor 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...

 

 

Page Last Updated   7-28-09     

 

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