Nowhere patients

The Clinical Inadequacy of the Placebo Model and the Development of an Alternative Conceptual Framework

Placebo effects are often attributed to clinical interactions and contextual factors that affect expectations of the patient about the treatment and result in symptom changes. The prevailing conceptualization consists of an undifferentiated placebo response that needs to be minimized in controlled investigations and maximized in clinical practice. However, treatment outcome is the cumulative result of the interaction of several classes of variables with a selected treatment: living conditions (housing, nutrition, work environment, social support), patient characteristics (age, sex, genetics, general health conditions, personality, well-being), illness features and previous therapeutic experience, self-management, and treatment setting (physician's attitude and attention, illness behavior). Such variables may be therapeutic or countertherapeutic, and are unlikely to be simply additive. In certain patients their interactive combination may lead to clinical improvement, whereas in other cases it may produce no effect, and, in a third group, it may lead to worsening of the condition. Maximizing patients' expectations does not necessarily result in sustained effects and, in due course, may actually lead to worsening of the condition (violation of expectations). In this paper, we outline a multifactorial conceptual model that may have implications for the design of clinical trials as well as for clinical practice, with special reference to psychopharmacology and psychotherapy. The effects of drug treatment may be potentiated by specific nonpharmacological treatment strategies, and this synergism may disclose significant differences against placebo. Medical outcomes may be unsatisfactory not because technical interventions are missing, but because our conceptual models and thinking are inadequate.

Latent change score modeling as a method for analyzing the antidepressant effect of a psychosocial intervention in Alzheimer's disease

BACKGROUND

Developing and evaluating interventions for patients with age-associated disorders is a rising field in psychotherapy research. Its methodological challenges include the high between-subject variability and the wealth of influencing factors associated with longer lifetime. Latent change score modeling (LCSM), a technique based on structural equation modeling, may be well suited to analyzing longitudinal data sets obtained in clinical trials. Here, we used LCSM to evaluate the antidepressant effect of a combined cognitive behavioral/cognitive rehabilitation (CB/CR) intervention in Alzheimer's disease (AD).

METHODS

LCSM was applied to predict the change in depressive symptoms from baseline as an outcome of the CORDIAL study, a randomized controlled trial involving 201 patients with mild AD. The participants underwent either the CORDIAL CB/CR program or standard treatment. Using LCSM, the model best predicting changes in Geriatric Depression Scale scores was determined based on this data set.

RESULTS

The best fit was achieved by a model predicting a decline in depressive symptoms between before and after testing. Assignment to the intervention group as well as female gender revealed significant effects in model fit indices, which remained stable at 6- and 12-month follow-up examinations. The pre-post effect was pronounced for patients with clinically relevant depressive symptoms at baseline.

CONCLUSIONS

LCSM confirmed the antidepressant effect of the CORDIAL therapy program, which was limited to women. The effect was pronounced in patients with clinically relevant depressive symptoms at baseline. Methodologically, LCSM appears well suited to analyzing longitudinal data from clinical trials in aged populations, by accounting for the high between-subject variability and providing information on the differential indication of the probed intervention.

The effectiveness of the cognitive behavioral analysis system of psychotherapy for chronic depression: a randomized controlled trial

BACKGROUND

It is widely agreed that chronic depression is difficult to treat, knowledge about optimal treatment approaches is emerging.

METHOD

A multisite randomized controlled trial was conducted comparing the cognitive behavioral analysis system of psychotherapy (CBASP), a psychotherapy model developed specifically to treat chronic depression (n = 67) with care as usual (CAU; evidence-based treatments, n = 72) over a period of 52 weeks, with 23 sessions on average, in 3 outpatient clinics in the Netherlands. In both arms algorithm-based pharmacotherapy was provided. Patients (aged 18-65) met criteria for a DSM-IV diagnosis of major depressive disorder with diagnostic specifiers (chronic, without interepisode recovery) or with co-occurring dysthymic disorder indicating a chronic course. The Inventory for Depressive Symptomatology (IDS) Self-Report was used as the primary outcome measure. Mixed-effects linear regression analysis was used to compare the changes on the IDS scores between CBASP and CAU. The IDS was administered before treatment, and after 8, 16, 32 and 52 weeks.

RESULTS

At week 52, patients assigned to CBASP had a greater reduction of depressive symptoms compared to patients assigned to CAU (t = -2.00, p = 0.05). However, CBASP and CAU did not differ from each other on the IDS after 8 weeks (t = 0.49, p = 0.63), 16 weeks (t = -0.03, p = 0.98) and 32 weeks (t = -0.17, p = 0.86) of treatment.

CONCLUSIONS

This trial shows that CBASP is at least as effective as standard evidence-based treatments for chronic depression. In the long run, CBASP appears to have an added effect.

The four-year course of major depressive disorder: the role of staging and risk factor determination

BACKGROUND

Much is still unclear about the mechanisms underlying the course of major depressive disorder (MDD). This study aimed to identify risk factors that predict a poor prognosis of MDD while taking into consideration its chronicity at baseline.

METHODS

In patients with MDD (n = 767), we examined whether baseline clinical factors, sociodemographics, childhood trauma, personality and life events predicted the 4-year course (i.e., sustained recovery, temporary recovery and chronic course) of MDD. Baseline chronicity of MDD was taken into account by testing whether associations were different for patients with nonchronic versus chronic MDD at baseline.

RESULTS

In patients with nonchronic MDD at baseline, 27.8% developed a chronic disorder during follow-up, whereas 53.0% of patients with chronic MDD at baseline had a persistent chronic disorder during follow-up. Severity of MDD, childhood trauma and greater age were important general risk factors for a poor prognosis, independent of MDD chronicity at baseline. In contrast, low extraversion was only important for the course of nonchronic MDD at baseline, while higher education and negative life events (in patients with high neuroticism) were only relevant for the course of chronic MDD at baseline.

CONCLUSIONS

One out of 4 patients with nonchronic MDD progressed to a chronic disorder, while half of the patients with chronic MDD remained chronic during follow-up. Since several risk factors for a poor prognosis differed for patients with nonchronic and chronic MDD at baseline, treatment targets should be adjusted for current chronicity of MDD.

Effects of a multidomain lifestyle modification on cognitive function in older adults: an eighteen-month community-based cluster randomized controlled trial

BACKGROUND

A healthy lifestyle may protect against cognitive decline. We examined outcomes in elderly individuals after 18 months of a five-group intervention program consisting of various modalities to prevent cognitive decline.

METHODS

We conducted a cluster randomized controlled trial assessing 460 community-dwelling individuals aged 60 years and older in a geriatric community mental health center in Suwon, Republic of Korea, between 2008 and 2010. We developed an intervention program based on the principles of contingency management, which could be delivered by ordinary primary health workers. Group A (n = 81) received standard care services. Group B (n = 80) received bimonthly (once every 2 months) telephonic care management. Group C (n = 111) received monthly telephonic care management and educational materials similar to those in group B. Group D (n = 93) received bimonthly health worker-initiated visits and counseling. Group E (n = 94) received bimonthly health worker-initiated visits, counseling, and rewards for adherence to the program.

RESULTS

The primary outcome was the change in Mini-Mental State Examination (MMSE) scores from baseline to the final follow-up visit at 18 months. Group E showed superior cognitive function to group A (adjusted coefficient β = 0.99, p = 0.044), with participation in cognitive activities being the most important determining factor among several health behaviors (adjusted coefficient β = 1.04, p < 0.01).

CONCLUSIONS

Engaging in cognitive activities, in combination with positive health behaviors, may be most beneficial in preserving cognitive abilities in community-dwelling older adults.

Neural correlates of procedural variants in cognitive-behavioral therapy: a randomized, controlled multicenter FMRI study

BACKGROUND

Cognitive behavioral therapy (CBT) is an effective treatment for panic disorder with agoraphobia (PD/AG). It is unknown, how variants of CBT differentially modulate brain networks involved in PD/AG. This study was aimed to evaluate the effects of therapist-guided (T+) versus self-guided (T-) exposure on the neural correlates of fear conditioning in PD/AG.

METHOD

In a randomized, controlled multicenter clinical trial in medication-free patients with PD/AG who were treated with 12 sessions of manualized CBT, functional magnetic resonance imaging (fMRI) was used during fear conditioning before (t1) and after CBT (t2). Quality-controlled fMRI data from 42 patients and 42 healthy subjects (HS) were obtained. Patients were randomized to two variants of CBT (T+, n = 22, and T-, n = 20).

RESULTS

The interaction of diagnosis (PD/AG, HS), treatment group (T+, T-), time point (t1, t2) and stimulus type (conditioned stimulus: yes, no) revealed activation in the left hippocampus and the occipitotemporal cortex. The T+ group demonstrated increased activation of the hippocampus at t2 (t2 > t1), which was positively correlated with treatment outcome, and a decreased connectivity between the left inferior frontal gyrus and the left hippocampus across time (t1 > t2).

CONCLUSION

After T+ exposure, contingency-encoding processes related to the posterior hippocampus are augmented and more decoupled from processes of the left inferior frontal gyrus, previously shown to be dysfunctionally activated in PD/AG. Linking single procedural variants to neural substrates offers the potential to inform about the optimization of targeted psychotherapeutic interventions.

From Randomized Controlled Trials of Antidepressant Drugs to the Meta-Analytic Synthesis of Evidence: Methodological Aspects Lead to Discrepant Findings

During the last decade, several meta-analytic studies employing different methodological approaches have had inconsistent conclusions regarding antidepressant efficacy. Herein, we aim to comment on methodological aspects that may have contributed to disparate findings. We initially discuss methodological inconsistencies and limitations related to the conduct of individual antidepressant randomized controlled trials (RCTs), including differences in allocated samples, limitations of psychometric scales, possible explanations for the heightened placebo response rates in antidepressant RCTs across the past two decades as well as the reporting of conflicts of interest. In the second part of this article, we briefly describe the various meta-analyses techniques (e.g., simple random effects meta-analysis and network meta-analysis) and the application of these methods to synthesize evidence related to antidepressant efficacy. Recently published antidepressant metaanalyses often provide discrepant results and similar results often lead to different interpretations. Finally, we propose strategies to improve methodology considering real-world clinical scenarios.

The missing link between clinical states and biomarkers in mental disorders

Current diagnostic definitions of psychiatric disorders based on collections of symptoms encompass very heterogeneous populations and are thus likely to yield spurious results when exploring biological correlates of mental disturbances. It has been suggested that large studies of biomarkers across diagnostic entities may yield improved clinical information. Such a view is based on the concept of assessment as a collection of symptoms devoid of any clinical judgment and interpretation. Yet, important advances have been made in recent years in clinimetrics, the science of clinical judgment. The current clinical taxonomy in psychiatry, which emphasizes reliability at the cost of clinical validity, does not include effects of comorbid conditions, timing of phenomena, rate of progression of an illness, responses to previous treatments, and other clinical distinctions that demarcate major prognostic and therapeutic differences among patients who otherwise seem to be deceptively similar since they share the same psychiatric diagnosis. Clinimetrics may provide the missing link between clinical states and biomarkers in psychiatry, building pathophysiological bridges from clinical manifestations to their neurobiological counterparts.

The integrative management of treatment-resistant depression: a comprehensive review and perspectives

BACKGROUND

Major depressive disorder is a prevalent and disabling illness. Notwithstanding numerous advances in the pharmacological treatment of depression, approximately 70% of patients do not remit after first-line antidepressant treatment.

METHODS

The MEDLINE/PubMed, EMBASE and ClinicalTrials.gov electronic databases were searched from inception to October 1, 2013, for randomized controlled trials (RCT), relevant open-label trials, meta-analyses and ongoing trials of pharmacological and psychotherapeutic approaches to treatment-resistant depression (TRD).

RESULTS

Switching to a different antidepressant is a useful option following nonresponse to a first-line agent. Although widely used in clinical practice, there is limited evidence to support antidepressant combination for TRD. Notwithstanding evidence for lithium or T3 augmentation to be successful in TRD, most studies were carried out when participants were treated with tricyclic antidepressants (TCA). Of the available strategies to augment the response to new-generation antidepressants, the use of some atypical antipsychotics is best supported by evidence. Several novel therapeutic options are currently discussed. Evidence suggests that cognitive therapy (CT) is an effective strategy for TRD.

CONCLUSIONS

The success of switching to a different antidepressant following a first-line agent is supported by evidence, but there is limited evidence for effective combination strategies. Lithium and T3 augmentation of TCA have the strongest evidence base for successful treatment of TRD. The use of augmentation of newer-generation antidepressants with atypical antipsychotics is supported by a growing evidence base. Current evidence supports CT as an effective strategy for TRD. There is a need for additional large-scale RCT of TRD. The development of new antidepressants targeting novel pathways opens a promising perspective for the management of TRD.

Decreased occipital cortical glutamate levels in response to successful cognitive-behavioral therapy and pharmacotherapy for major depressive disorder

BACKGROUND

Previous studies have demonstrated that antidepressant medication and electroconvulsive therapy increase occipital cortical γ-aminobutyric acid (GABA) in major depressive disorder (MDD), but a small pilot study failed to show a similar effect of cognitive-behavioral therapy (CBT) on occipital GABA. In light of these findings we sought to determine if baseline GABA levels predict treatment response and to broaden the analysis to other metabolites and neurotransmitters in this larger study.

METHODS

A total of 40 MDD outpatients received baseline proton magnetic resonance spectroscopy (1H-MRS), and 30 subjects completed both pre- and post-CBT 1H-MRS; 9 CBT nonresponders completed an open-label medication phase followed by an additional/3rd 1H-MRS. The magnitude of treatment response was correlated with occipital amino acid neurotransmitter levels.

RESULTS

Baseline GABA did not predict treatment outcome. Furthermore, there was no significant effect of CBT on GABA levels. However, we found a significant group × time interaction (F1, 28 = 6.30, p = 0.02), demonstrating reduced glutamate in CBT responders, with no significant glutamate change in CBT nonresponders.

CONCLUSIONS

These findings corroborate the lack of effect of successful CBT on occipital cortical GABA levels in a larger sample. A reduction in glutamate levels following treatment, on the other hand, correlated with successful CBT and antidepressant medication response. Based on this finding and other reports, decreased occipital glutamate may be an antidepressant response biomarker. Healthy control comparator and nonintervention groups may shed light on the sensitivity and specificity of these results.

Neurosubstrates of remission following prolonged exposure therapy in veterans with posttraumatic stress disorder

BACKGROUND

Prolonged exposure (PE) therapy is the first-line treatment for posttraumatic stress disorder (PTSD) in combat veterans. The underlying brain changes of treatment effect in PTSD are currently unknown.

METHODS

A total of 31 veterans with PTSD completed an fMRI scan performing an affective anticipation task at baseline and were enrolled in PE therapy. Of these, 7 prematurely terminated therapy, while 24 individuals completed PE therapy and an identical follow-up fMRI scan. At follow-up, 15 of the 24 completers still had diagnosable PTSD (NR-PTSD) and 9 of the 24 completers showed complete remission from PTSD (R-PTSD), i.e. they did not meet diagnostic criteria for PTSD.

RESULTS

The left anterior insula showed a significant group by scan session interaction. Specifically, the R-PTSD group showed decreased activation during anticipation of negative images from pre- to posttreatment scans, while the NR-PTSD group showed increased activation during anticipation of positive images in this region. Furthermore, the change in functional activation in the insula co-occurred with increased connectivity between this insular region and the right cingulate and right mid-posterior insular region in R-PTSD.

CONCLUSIONS

These findings suggest that the capacity to effectively remit from PTSD symptoms after PE treatment requires the ability to connect with physiological signals and moderate the discomfort of anticipatory anxiety of exposure therapy. These processes appear to be controlled by a network where the anterior insula is connected with the cingulate and the mid-posterior insula.

Emotion regulation skills training enhances the efficacy of inpatient cognitive behavioral therapy for major depressive disorder: a randomized controlled trial

BACKGROUND

Deficits in emotion regulation skills are possible factors maintaining major depressive disorder (MDD). Therefore, the aim of the study was to test whether integrating a systematic emotion regulation training (ERT) enhances the efficacy of routine inpatient cognitive behavioral therapy (CBT) for MDD.

METHODS

In a prospective randomized controlled trial, 432 inpatients meeting criteria for MDD were assigned to receive either routine CBT or CBT enriched with an intense emotion regulation skills training (CBT-ERT).

RESULTS

Participants in the CBT-ERT condition demonstrated a significantly greater reduction in depression (response rates - CBT: 75.5%, CBT-ERT: 84.9%; remission rates - CBT: 51.1%, CBT-ERT: 65.1%). Moreover, CBT-ERT participants demonstrated a significantly greater reduction of negative affect, as well as a greater increase of well-being and emotion regulation skills particularly relevant for mental health.

CONCLUSIONS

Integrating strategies that target emotion regulation skills improves the efficacy of CBT for MDD.

Individual music therapy for mental health care clients with low therapy motivation: multicentre randomised controlled trial

BACKGROUND

Music therapy (MT) has been shown to be efficacious for mental health care clients with various disorders such as schizophrenia, depression and substance abuse. Referral to MT in clinical practice is often based on other factors than diagnosis. We aimed to examine the effectiveness of resource-oriented MT for mental health care clients with low motivation for other therapies.

METHOD

This was a pragmatic parallel trial. In specialised centres in Norway, Austria and Australia, 144 adults with non-organic mental disorders and low therapy motivation were randomised to 3 months of biweekly individual, resource-oriented MT plus treatment as usual (TAU) or TAU alone. TAU was typically intensive (71% were inpatients) and included the best combination of therapies available for each participant, excluding MT. Blinded assessments of the Scale for the Assessment of Negative Symptoms (SANS) and 15 secondary outcomes were collected before randomisation and after 1, 3 and 9 months. Changes were analysed on an intention-to-treat basis using generalised estimating equations in longitudinal linear models, controlling for diagnosis, site and time point.

RESULTS

MT was superior to TAU for total negative symptoms (SANS, d = 0.54, p < 0.001) as well as functioning, clinical global impressions, social avoidance through music, and vitality (all p < 0.01).

CONCLUSION

Individual MT as conducted in routine practice is an effective addition to usual care for mental health care clients with low motivation.

Burning issues in the meta-analysis of pharmaceutical trials for depression

During the last decade a number of meta-analytic studies have been published and they triggered a debate on the true clinical usefulness of antidepressants. The current article comments on problems within the randomized controlled trials design, the study samples, the psychometric scales, the methods of meta-analysis, the interpretation of the results, and the reporting of conflicts of interest. Although the meta-analyses published so far agree that medication works in severe depression, they question its efficacy in mild cases. However, several methodological issues should be clarified before conclusions are definite. Different methods give different results and similar results seem to entertain a variety of interpretations. In the future it is important to address all of these problems, and to improve methodology on the basis of clinically informed choices. Otherwise, meta-analysis risks alienation from clinical reality and thus risks becoming the 21(st) century psychoanalysis.

Emerging clinical trends and perspectives on comorbid patterns of mental disorders in research

Comorbidity is a well-established and documented phenomenon in mental disorders and medicine with heuristic value. The concept of comorbidity remains however poorly defined and lacks a comprehensive and coherent theoretical framework. There is a need to develop coherent methodological strategies in order to promote a fuller understanding of the implications of comorbidity and to exploit its potential value with regard to etiopathogenic and therapeutic issues. This position paper makes recommendations of improved methodological standards and procedures and discusses a range of options that can provide incremental information that is likely to improve therapeutic outcomes.

What is the best sequential treatment strategy in the treatment of depression? Adding pharmacotherapy to psychotherapy or vice versa?

BACKGROUND

Insufficient response to monotreatment for depression is a common phenomenon in clinical practice. Even so, evidence indicating how to proceed in such cases is sparse.

METHODS

This study looks at the second phase of a sequential treatment algorithm, in which 103 outpatients with moderately severe depression were initially randomized to either short-term supportive psychodynamic therapy (PDT) or antidepressants. Patients who reported less than 30% symptom improvement after 8 weeks were offered combined treatment. Outcome measures were the Hamilton Depression Rating Scale (HAM-D), the Clinical Global Impression of Severity and Improvement, the SCL-90 depression subscale and the EuroQOL questionnaire.

RESULTS

Despite being nonresponsive, about 40% of patients preferred to continue with monotherapy. At treatment termination, patients initially randomized to PDT had improved more than those initially receiving antidepressants, as indicated by the HAM-D and the EuroQOL, independently of whether the addition was accepted or not.

CONCLUSIONS

Starting with psychotherapy may be preferable in mildly and moderately depressed outpatients. For patients who receive either PDT or antidepressants, combined therapy after early nonresponse seems to be helpful. Nevertheless, this sequential strategy is not always preferred by patients.

The unifying concept of illness behavior

The concept of illness behavior was introduced to indicate the ways in which given symptoms may be perceived, evaluated and acted upon at an individual level. Illness behavior may vary greatly according to illness-related, patient-related and doctor-related variables and their complex interactions. In the past decades, important lines of research have been concerned with illness perception, frequent attendance at medical facilities, health care-seeking behavior, treatment-seeking behavior, delay in seeking treatment, and treatment adherence. They have, however, mostly investigated single aspects separately. In this concise review, we suggest that the concept of illness behavior may provide a unifying framework and useful insights to observations and findings that would otherwise remain scattered and unrelated in the medical literature. The wide range of expressions of illness behavior is likely to affect the presentation of any disease and its identification, course and treatment. Assessing illness behavior and devising appropriate responses by health care providers may contribute to the improvement of final outcomes.

Cognitive therapy versus fluvoxamine as a second-step treatment in obsessive-compulsive disorder nonresponsive to first-step behavior therapy

BACKGROUND

To compare the effectiveness of second-step treatment with cognitive therapy (CT) versus fluvoxamine in patients with obsessive-compulsive disorder (OCD) who are nonresponsive to exposure in vivo with response prevention (ERP).

METHODS

A 12-week randomized controlled trial at an outpatient clinic in the Netherlands comparing CT with fluvoxamine in OCD. Of 118 subjects with OCD treated with 12 weeks of ERP, 48 appeared to be nonresponders (Y-BOCS improvement score of less than one third). These nonresponders were randomized to CT (n = 22) or fluvoxamine (n = 26). The main outcome measure was the Y-BOCS severity scale. Statistical analyses were conducted in the intention-to-treat sample (n = 45) on an 'as randomized basis' and in the per-protocol sample (n = 30). Due to selective dropout in the fluvoxamine group, two additional sensitivity analyses were performed.

RESULTS

Complete data could be obtained from 45 subjects (94%) after 12 weeks. Fifty percent of the patients refused fluvoxamine after randomization compared to 13% who refused CT [χ(2)(1) = 7.10; p = 0.01]. CT as a second-step treatment did not appear to be effective in this sample of nonresponders. Fluvoxamine was significantly superior to CT in the intention-to-treat sample, in the per-protocol sample and in the two separately defined samples in which the sensitivity analyses were performed.

CONCLUSIONS

OCD patients who are nonresponsive to ERP may benefit more from a switch to treatment with an antidepressant instead of switching to CT. In clinical practice, it may be important to motivate this subgroup of patients to undergo psychopharmacological treatment, as this may improve their outcome considerably.

Clinimetrics and clinical psychometrics: macro- and micro-analysis

BACKGROUND

Clinimetrics was introduced three decades ago to specify the domain of clinical markers in clinical medicine (indexes or rating scales). In this perspective, clinical validity is the platform for selecting the various indexes or rating scales (macro-analysis). Psychometric validation of these indexes or rating scales is the measuring aspect (micro-analysis).

METHODS

Clinical judgment analysis by experienced psychiatrists is included in the macro-analysis and the item response theory models are especially preferred in the micro-analysis when using the total score as a sufficient statistic.

RESULTS

Clinical assessment tools covering severity of illness scales, prognostic measures, issues of co-morbidity, longitudinal assessments, recovery, stressors, lifestyle, psychological well-being, and illness behavior have been identified.

CONCLUSION

The constructive dialogue in clinimetrics between clinical judgment and psychometric validation procedures is outlined for generating developments of clinical practice in psychiatry.

Clinical judgment in psychiatry. Requiem or reveille?

BACKGROUND

There is increasing awareness of a crisis in psychiatric research and practice. Psychopathology and clinical judgment are often discarded as non-scientific and obsolete methods. Yet, in their everyday practice, psychiatrists use observation, description and classification, test explanatory hypotheses, and formulate clinical decisions.

AIM

The aim of this review was to examine the clinical judgment in psychiatry, with special reference to clinimetrics, a domain concerned with the measurement of clinical phenomena that do not find room in customary taxonomy.

METHODS

A MEDLINE search from inception to August 2011 using the keywords "clinical judgment" and "clinimetric" in relation to psychiatric illness for articles in English language was performed. It was supplemented by a manual search of the literature. Choice of items was based on their established or potential incremental increase in clinical information compared with use of standard diagnostic criteria. The most representative examples were selected.

RESULTS

Research on clinical judgment has disclosed several innovative assessment strategies: the use of diagnostic transfer stations instead of diagnostic endpoints using repeated assessments, subtyping versus integration of different diagnostic categories, staging, macro-analysis, extension of clinical information beyond symptomatic features. Evidence-based medicine does not appear to provide an adequate scientific background for challenges of clinical practice in psychiatry and needs to be integrated with clinical judgment. CONCLUSIONS. A renewed interest in clinical judgment may yield substantial advances in clinical assessment and treatment. A different clinical psychiatry is available and can be practiced now.

Innovative trends in the design of therapeutic trials in psychopharmacology and psychotherapy

The standard randomized controlled trial design is still based on the acute disease model. This is in sharp contrast with the fact that the patient is likely to have experienced other treatments before, that may actually modify clinical course and responsiveness. The current standard of therapeutic trial in psychiatry is represented by the large, multi-center, controlled randomized trial with broad inclusion criteria, and little attention to other factors such as the clinical history of patients and comorbidity. The heterogeneous features of these patients would then affect the outcome of the trial. Conflicting results among randomized controlled trials can represent a spectrum of outcomes, based on different patient groups, more than bias or random variability. If a treatment is tested by a series of small trials with inclusion criteria for specific characteristics (including treatment history, subgroups and comorbidity), we may have a better knowledge of its indications and contraindications. Further, there is increasing need of expanding the content of customary clinical information, by including evaluation of variables such as stress, lifestyle, well-being, illness behavior and psychological symptoms. These joint strategies would actually constitute a paradigm shift in psychopharmacology and psychotherapy research.

Treatment selection in depression: the role of clinical judgment

The selection of treatment in depression should be filtered by clinical judgment, taking into consideration a number of clinical variables, such as characteristics and severity of depressive episode, co-occurring symptomatology and problems (not necessarily syndromes), medical comorbidities, and patient’s history with particular reference to treatment of previous episodes, if they occurred. Such information should be placed within what is actually available in the specific treatment setting and should be integrated with the patient’s preferences. In clinical practice, on the one end, clinical decisions may be affected by irrational factors (eg, exposure to massive doses of pharmaceutical propaganda or familiarity with a specific psychotherapy or medication). On the other end, psychiatrists often use sophisticated forms of clinical judgment that are suitable for clinical challenges but are not addressed by current research strategies. There is increasing awareness of the need of differentiating depression according to specific subtypes, yet clear-cut indications for these subdivisions are still missing. The role of biomarkers, despite many promising research strategies, is still far from offering reliable clinical guidance. In the meanwhile, there are important indications that come from clinical research. Treatment of depression may be conceptualized as integrated treatment of the various components of symptomatology, lifestyle, and social adjustment. An integrated treatment model, discussed in detail elsewhere, is realistic and practical, and not just idealistic. It may be frustrating to those who like oversimplified biological models; however, approaches that integrate clinimetrics, patient priorities, lifestyle issues, and clinical judgment are more in keeping with the complexity of clinical situations and the challenge of depression treatment.