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Psychosocial Interventions in
Cancer Care: The Evidence is
 Worse Than it First Looks
                  James C. Coyne, Ph.D.
                 University of Pennsylvania

 With Special Thanks to Drs. Steve Palmer and Joan Cook—and to
       NCI, SBM, the Cancer SIG, and my fellow panelists.
We must not allow a shared commitment to
improving the wellbeing of cancer patients to be
 exploited with exaggerated claims and poorly
   conceived, poorly conducted, and poorly
             reported clinical trials.
How the Literature Fails Us
• Does not provide a rationale basis for
  favorably recommending interventions to
  cancer patients.

• Does not provide a credible basis for
  advocating for reimbursement by third
  party payers.
Most Robust Finding:
            No Benefit
• Average cancer patient receiving interventions
  does not achieve a reduction in distress.

• Average cancer patient does not benefit from
  participating in:
      Group Cognitive Behavior Stress
         Management
      Supportive Expressive Group
         Psychotherapy
      Writing exercise (0-3).
The Literature is Worse Than
        it First Looks
The Literature is Worse Than It
           First Looks
• Cannot accept positive appraisals of a particular
  study or the literature at face value.

• Endemic confirmatory bias.

• Myth that combinations of similarly flawed
  studies can yield an informative contribution to
  the literature: blend them together, you get
  tainted scrapple, not pate.
The Literature is Worse Than It
             First Looks
• Late
     adoption of CONSORT leaves an
  accumulated literature with serious
  methodological shortcomings.

• Adoption of CONSORT tends to be associated
  with 30% reduction in confirmatory bias.

• “Best Foot Forward” takes precedence over best
  available evidence.
CONSORT
A list of requirements for uniform reporting
  of clinical trials with the overall aim of
  improving the reporting of Randomized
  Controlled Trials, to facilitate their critical
  appraisal, and to facilitate their inclusion in
  systematic reviews.
              Published in 1996, revised 2001
CONSORT Checklist
Not a Cure or even a Treatment for an Ailing
 Literature.

Not a Diagnostic Instrument.

More of a Screening, a First Assessment of
 Transparency of Reporting.

Most Effective When Used Preventively by
 Authors, Rather than Later By Readers.
What are the Endemic
 Problems in the Design,
Conduct, and Reporting of
         Trials?
Poor Rationale for Trials
• Claims of high prevalence of distress are
  not reflected in samples.
• Distress and depression do not predict
  survival.
• Salivary cortisol not related to progression.
• Measures of immune function not related
  to progression.
• Psychological interventions do not effect
  immune function in cancer patients.
The Norm: Lack of
        Intent to Treat Analyses

• Data from patients who do not complete trial or
  all measurements are discarded.
• “As treated” analyses ignore informative missing
  data.
• Intervention and control patients have different
  reasons for not providing data and this
  introduces bias in the available data.
• “As treated” data do not generalize back to
  patients entering a trial.
Are We Done Yet? Check the Data
   Again and See if We Have Got a
          Finding to Report

• A priori power analysis the occasional exception
  rather than the rule.
• Operative Rule: Peek and stop when results are
  looking good.
• Must beware of modest sized trials claiming
  strong effects--likely to be false positives.
• Must beware of studies with odd numbers of
  patients accumulated without a power analysis.
Telling It Like It Ain’t: All the
            Results That Fit
• Primary endpoint typically needs to be inferred, not
  stated.
• Ignore negative results for presumed endpoints:
  Emphasize any positive effect, ignore larger number of
  null findings.
• Favor secondary and subgroup analyses and endpoints
  developed post hoc over negative findings for presumed
  analyses.
• Discuss negative findings as if positive in subsequent
  publications.
• Accommodate existing literature “as is” rather than
  qualifying interpretation with reference to methodological
  shortcomings.
Just What Is Wrong With Post Hoc
          Subgroup Analyses?
• High profile papers in the behavioral medicine
  literature routinely emphasize subgroup analyses
  when they are positive in the face of negative primary
  analyses (Classen et al, 2001; Schneiderman et al.,
  2004).
• In the broader clinical trials literature, this practice is
  uniformly criticized as inappropriate (Yusuf et al.,
  1991).
• Unplanned subgroup analyses frequently yield
  spurious results (Assman et al., 2000; Senn & Harrel,
  1979), and “only in exceptional circumstances should
  they affect the conclusions drawn from the trial”
  (Brooks et al., 2004, p 229).
Reporting a Major Intervention Trial
  Focusing on Distress (Part 1)*
• First report published in Archives of General
  Psychiatry.
• CES-D data collected but not reported.
• Request for information: ‘Null, so not reported’.
• POMS data: Post hoc analyses suggested
  strategy of dropping last observation for some
  patients, allowing marginally significant result.

     Classen, Butler, Koopman, Miller, DiMiceli, Giese-Davis, Fobair,
                                 Carlson, Kraemer & Spiegel 2001
Reporting a Major Intervention Trial
  Focusing on Distress (Part 2)*
• Second report of same trial in Journal of Consulting and
  Clinical Psychology.
• First paper cited in passing, but null results not reported.
• No a priori endpoint.
• Outcomes selected on basis of analysis of control group
  data.
• These outcomes justified in terms of a literature in which
  they have served as process variables for reduction of
  distress that was not obtained in this trial.

                     *Giese-Davis et al., J Consult Clin Psych 2002
Misusing and Misunderstanding the
  Profile of Mood States (POMS)
• Provides general mood score and several subscales.
• Allows multiple correlated tests of whether intervention
  affects mood.
• Any positive findings emphasized and negative findings
  and capitalization on chance ignored.
• Emphasized over CES-D when CES-D yields null
  findings.
• CES-D preferable.
• Investigators tend to ignore normative data
  suggesting that cancer patients entering trials have
  mood as good or better than college students.
Rescuing a Null Trial With A Newly
  Invented Outcome: Benefit Finding*
• A priori primary endpoint was distress.
• Primary analysis yielded null results, but subsequent
  reports have reported a secondary analysis in which
  there was an effect for a subgroup of patients.
• Subsequent reports give main emphasis to benefit
  finding as an endpoint.
• Intervention not designed to affect benefit finding, no
  theoretical reason for assuming an effect.
• Benefit finding has unknown clinical significance.
                            *Antoni et al, Health Psychology 2001
How Not to Solve the Problem of
          Weak Effects
Dominant strategy involves bigger, more
   intense and complex interventions
   which:
•  Aggravate problems of selection bias.
•  Create problems of selective exposure
   to interventions and breakdown in
   adherence.
•  Preclude elucidation of mechanism.
With possible exception of dying
 patients, no obvious theoretical or
 technical reason for assuming that
 psychological interventions cannot
 reduce distress---not even an
 interesting question---if cancer
 patients are selected for clinical need.
CONSORT
• Will help, but not a panacea.
• Provides an evaluation of
  transparency, but not directly the
  quality with which a trial has been
  designed and executed.
• Biased analysis and interpretation
  more obvious, but not eliminated.
What is Needed
• Registry of Trial Designs at NCI so that reader
  can compare what is reported with what was
  proposed.
• Reviewers start incorporating CONSORT NOW!
• Abstracts faithfully represent what was done in
  trials NOW.
• Readers cultivate own critical appraisal skills.
• Graduate training provide more emphasis on
  design, conduct, analysis, interpretation, and
  reporting of clinical trials.
What is Needed
• Trials targeting patients with significant distress.
• Recruitment strategies based on accurate
  estimates of prevalence of distress in
  population.
• Comparisons of psychotherapeutic intervention
  to access to information and improved
  management of symptoms and side effects.
• Patient preference and randomized
  encouragement designs.
What is Fair
• Given quality of evidence for efficacy of
  intervention, don’t oversell.
• Not every cancer patient needs therapeutic
  intervention, wrong to suggest that they do.
• Lower barrier to patients accessing intervention
  if they want it, beware of aggressive outreach.
• Informed consent procedures should not
  mislead patients concerning evidence for benefit
  of treatments to which they are being recruited.
Simpler Interventions with Some
      Hope of Dissemination

“Dissemination of efficacious interventions
  into real-world settings may be hampered
  by inclusion of many activities, techniques,
  and strategies that go far beyond their
  underlying theories” (Rotheram-Borus &
  Duan, 2003).
Beware of Unnecessarily Complex
          Interventions
Must Come to Terms with
 Poor Quality of Existing
       Literature
Take Down the Slums and Build Anew With
 Studies With Adequate Designs, Suitable
 Patient Populations, and Fair Reporting .

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Great debate psychosocial interventions in cancer care

  • 1. Psychosocial Interventions in Cancer Care: The Evidence is Worse Than it First Looks James C. Coyne, Ph.D. University of Pennsylvania With Special Thanks to Drs. Steve Palmer and Joan Cook—and to NCI, SBM, the Cancer SIG, and my fellow panelists.
  • 2. We must not allow a shared commitment to improving the wellbeing of cancer patients to be exploited with exaggerated claims and poorly conceived, poorly conducted, and poorly reported clinical trials.
  • 3. How the Literature Fails Us • Does not provide a rationale basis for favorably recommending interventions to cancer patients. • Does not provide a credible basis for advocating for reimbursement by third party payers.
  • 4. Most Robust Finding: No Benefit • Average cancer patient receiving interventions does not achieve a reduction in distress. • Average cancer patient does not benefit from participating in: Group Cognitive Behavior Stress Management Supportive Expressive Group Psychotherapy Writing exercise (0-3).
  • 5. The Literature is Worse Than it First Looks
  • 6. The Literature is Worse Than It First Looks • Cannot accept positive appraisals of a particular study or the literature at face value. • Endemic confirmatory bias. • Myth that combinations of similarly flawed studies can yield an informative contribution to the literature: blend them together, you get tainted scrapple, not pate.
  • 7. The Literature is Worse Than It First Looks • Late adoption of CONSORT leaves an accumulated literature with serious methodological shortcomings. • Adoption of CONSORT tends to be associated with 30% reduction in confirmatory bias. • “Best Foot Forward” takes precedence over best available evidence.
  • 8. CONSORT A list of requirements for uniform reporting of clinical trials with the overall aim of improving the reporting of Randomized Controlled Trials, to facilitate their critical appraisal, and to facilitate their inclusion in systematic reviews. Published in 1996, revised 2001
  • 9. CONSORT Checklist Not a Cure or even a Treatment for an Ailing Literature. Not a Diagnostic Instrument. More of a Screening, a First Assessment of Transparency of Reporting. Most Effective When Used Preventively by Authors, Rather than Later By Readers.
  • 10. What are the Endemic Problems in the Design, Conduct, and Reporting of Trials?
  • 11. Poor Rationale for Trials • Claims of high prevalence of distress are not reflected in samples. • Distress and depression do not predict survival. • Salivary cortisol not related to progression. • Measures of immune function not related to progression. • Psychological interventions do not effect immune function in cancer patients.
  • 12. The Norm: Lack of Intent to Treat Analyses • Data from patients who do not complete trial or all measurements are discarded. • “As treated” analyses ignore informative missing data. • Intervention and control patients have different reasons for not providing data and this introduces bias in the available data. • “As treated” data do not generalize back to patients entering a trial.
  • 13. Are We Done Yet? Check the Data Again and See if We Have Got a Finding to Report • A priori power analysis the occasional exception rather than the rule. • Operative Rule: Peek and stop when results are looking good. • Must beware of modest sized trials claiming strong effects--likely to be false positives. • Must beware of studies with odd numbers of patients accumulated without a power analysis.
  • 14. Telling It Like It Ain’t: All the Results That Fit • Primary endpoint typically needs to be inferred, not stated. • Ignore negative results for presumed endpoints: Emphasize any positive effect, ignore larger number of null findings. • Favor secondary and subgroup analyses and endpoints developed post hoc over negative findings for presumed analyses. • Discuss negative findings as if positive in subsequent publications. • Accommodate existing literature “as is” rather than qualifying interpretation with reference to methodological shortcomings.
  • 15. Just What Is Wrong With Post Hoc Subgroup Analyses? • High profile papers in the behavioral medicine literature routinely emphasize subgroup analyses when they are positive in the face of negative primary analyses (Classen et al, 2001; Schneiderman et al., 2004). • In the broader clinical trials literature, this practice is uniformly criticized as inappropriate (Yusuf et al., 1991). • Unplanned subgroup analyses frequently yield spurious results (Assman et al., 2000; Senn & Harrel, 1979), and “only in exceptional circumstances should they affect the conclusions drawn from the trial” (Brooks et al., 2004, p 229).
  • 16. Reporting a Major Intervention Trial Focusing on Distress (Part 1)* • First report published in Archives of General Psychiatry. • CES-D data collected but not reported. • Request for information: ‘Null, so not reported’. • POMS data: Post hoc analyses suggested strategy of dropping last observation for some patients, allowing marginally significant result. Classen, Butler, Koopman, Miller, DiMiceli, Giese-Davis, Fobair, Carlson, Kraemer & Spiegel 2001
  • 17. Reporting a Major Intervention Trial Focusing on Distress (Part 2)* • Second report of same trial in Journal of Consulting and Clinical Psychology. • First paper cited in passing, but null results not reported. • No a priori endpoint. • Outcomes selected on basis of analysis of control group data. • These outcomes justified in terms of a literature in which they have served as process variables for reduction of distress that was not obtained in this trial. *Giese-Davis et al., J Consult Clin Psych 2002
  • 18. Misusing and Misunderstanding the Profile of Mood States (POMS) • Provides general mood score and several subscales. • Allows multiple correlated tests of whether intervention affects mood. • Any positive findings emphasized and negative findings and capitalization on chance ignored. • Emphasized over CES-D when CES-D yields null findings. • CES-D preferable. • Investigators tend to ignore normative data suggesting that cancer patients entering trials have mood as good or better than college students.
  • 19. Rescuing a Null Trial With A Newly Invented Outcome: Benefit Finding* • A priori primary endpoint was distress. • Primary analysis yielded null results, but subsequent reports have reported a secondary analysis in which there was an effect for a subgroup of patients. • Subsequent reports give main emphasis to benefit finding as an endpoint. • Intervention not designed to affect benefit finding, no theoretical reason for assuming an effect. • Benefit finding has unknown clinical significance. *Antoni et al, Health Psychology 2001
  • 20. How Not to Solve the Problem of Weak Effects Dominant strategy involves bigger, more intense and complex interventions which: • Aggravate problems of selection bias. • Create problems of selective exposure to interventions and breakdown in adherence. • Preclude elucidation of mechanism.
  • 21. With possible exception of dying patients, no obvious theoretical or technical reason for assuming that psychological interventions cannot reduce distress---not even an interesting question---if cancer patients are selected for clinical need.
  • 22. CONSORT • Will help, but not a panacea. • Provides an evaluation of transparency, but not directly the quality with which a trial has been designed and executed. • Biased analysis and interpretation more obvious, but not eliminated.
  • 23. What is Needed • Registry of Trial Designs at NCI so that reader can compare what is reported with what was proposed. • Reviewers start incorporating CONSORT NOW! • Abstracts faithfully represent what was done in trials NOW. • Readers cultivate own critical appraisal skills. • Graduate training provide more emphasis on design, conduct, analysis, interpretation, and reporting of clinical trials.
  • 24. What is Needed • Trials targeting patients with significant distress. • Recruitment strategies based on accurate estimates of prevalence of distress in population. • Comparisons of psychotherapeutic intervention to access to information and improved management of symptoms and side effects. • Patient preference and randomized encouragement designs.
  • 25. What is Fair • Given quality of evidence for efficacy of intervention, don’t oversell. • Not every cancer patient needs therapeutic intervention, wrong to suggest that they do. • Lower barrier to patients accessing intervention if they want it, beware of aggressive outreach. • Informed consent procedures should not mislead patients concerning evidence for benefit of treatments to which they are being recruited.
  • 26. Simpler Interventions with Some Hope of Dissemination “Dissemination of efficacious interventions into real-world settings may be hampered by inclusion of many activities, techniques, and strategies that go far beyond their underlying theories” (Rotheram-Borus & Duan, 2003).
  • 27. Beware of Unnecessarily Complex Interventions
  • 28. Must Come to Terms with Poor Quality of Existing Literature
  • 29. Take Down the Slums and Build Anew With Studies With Adequate Designs, Suitable Patient Populations, and Fair Reporting .