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Record W14465827 · doi:10.1139/jpn.0301

Treating mood disorders

2003· editorial· en· W14465827 on OpenAlexvenueno aff
Russell T. Joffe

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2003
Typeeditorial
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsAntidepressantTolerabilityMoodBipolar disorderDepression (economics)PsychiatryMajor depressive disorderMood disordersPsychologyMajor depressive episodeMedicineAdverse effectInternal medicineAnxiety

Abstract

fetched live from OpenAlex

There is an emerging consensus that the goals of treatment for both unipolar and bipolar disorder have to be reassessed to include the reduction of mood disorder symptoms other than those associated with an acute episode. Until recently, the utility of any treatment for mood disorders, both unipolar and bipolar, has been judged by the rate of response to that treatment intervention, balanced by an acceptable level of side effects. For example, with acute depression, the selective serotonin reuptake inhibitors offer a significant advance over the earlier first-generation antidepressants, such as the tricyclics, in that they improved tolerability and safety without necessarily improving the antidepressant response rate. Response, however defined, usually implies a marked improvement in symptom number and severity, and it is only recently that remission versus response has become an issue, particularly in unipolar depression. Recent research efforts have focused on whether one particular class of antidepressant is more likely to induce remission than another, and claims have been made that certain antidepressants may offer more complete resolution of depressive symptoms than others. Less attention has been paid to examining and comparing the use of different treatment strategies (e.g., optimization of antidepressant dose versus combination treatment) than to which drug classes to use to achieve remission rather than response in particular patients. Moreover, the concepts of remission versus response in the various phases of bipolar illness have received little attention. The findings of a recent study,1 in which a cohort of patients with bipolar disorder was followed for an average of 12.8 years, are both notable and instructive. Approximately half of the time in follow-up, measured by weeks per year, was spent with depressive or manic symptoms or, in a minority of patients, with continuous cycling. Perhaps more important, of time spent ill, approximately one-quarter was spent with an actual acute clinical episode, either a major depression or acute mania. Substantially more time, roughly 3 times more, was spent either with minor syndromal illness or subsyndromal symptoms. Similar data were reported for unipolar depressed patients in a long-term follow-up by the same authors.2 The data from these studies are very clear. Acute episodes of illness, although dramatic, dangerous and substantial contributors to morbidity and mortality, tell only a small part of the story of the enormous burden of suffering that occurs with both unipolar and bipolar illnesses. Minor episodes of illness, minor depression or hypomania and, perhaps more importantly, subsyndromal manic or depressive symptoms contribute substantially to time spent ill and to the morbidity and mortality associated with these disorders. These data are of more than passing or academic interest. They demand a refocus on the priorities for treatment for mood disorders. Acute treatment of episodes with response is a necessary but no longer a sufficient treatment goal. Rather, remission with symptom resolution should be the therapeutic goal, even if it cannot be attained in all cases. Although marked symptom reduction, as achieved by the commonly used definitions of response, is highly laudable, it is not sufficient as an end point of treatment. Clinical criteria for remission need to be identified for both unipolar and bipolar disorder. Treatment studies should be designed to evaluate treatment options and their outcomes and should use definitions of remission in addition to those of response. The limited literature examining this issue in patients with unipolar depression largely compares antidepressants of one class to those of another. The data on bipolar disorder are also extremely limited — and the design of these studies presents unique methodologic challenges. The cyclic, recurrent nature of bipolar disorder, the occurrence of both manic and depressive episodes, the invariable use of multiple concurrent pharmacological strategies and the clinical and ethical issues related to medication-free periods make them particularly challenging. Clinical lore and published research would suggest that subsyndromal symptomatology, even in the absence of acute episodes, in bipolar disorder contributes substantially to morbidity and impaired social and work function. Current mood stabilizers, including lithium and the anticonvulsants, should be evaluated to determine not only whether they have efficacy for acute mania, acute depression and prophylaxis against acute episodes, but also whether they can induce and sustain remission and prevent long-term minor and subsyndromal depressive and manic symptoms. Mood disorders, bipolar and unipolar, are common and cause an enormous burden of suffering. Treatment of acute episodes and, more particularly, incomplete treatment of acute episodes, address only one component of the long-term suffering of our patients. A more holistic approach is required to understand and treat the full range of clinical symptoms that contribute to the burden of suffering with these disorders. A treatment approach that aims for complete resolution of the mood disorder will serve our patients best by reducing not only their current symptoms, but also their future likelihood of recurrence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0550.033

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.279
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2003
Admission routes1
Has abstractyes

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