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Record W132510018 · doi:10.1139/jpn.0239

Why treat depression differently from other medical problems?

2002· editorial· en· W132510018 on OpenAlexvenueno aff
Pierre Blier

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2002
Typeeditorial
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)BlamePsychiatryAntidepressantMedicinePsychologyAnxiety

Abstract

fetched live from OpenAlex

Several studies have clearly shown that depression carries one of the largest global burdens of all medical problems. Precise details are provided in Dr. Kennedy's introduction to the articles in this special issue.1 The World Health Organization estimates that depression will, unfortunately, become the number-one illness in terms of global burden by the year 2010.2 Although we hope this gloomy statistic will not be reached, there are many factors that act in favour of achieving this outcome. First, there remains an obvious negative perception in our society about major depression; perhaps because of this, it is estimated that more than half the individuals meeting the criteria for major depression never consult any health care practitioner.3,4 The individuals who do present with major depression are often not diagnosed, do not receive an antidepressant or, if they do, the dose is frequently suboptimal.5,6 Finally, in the best-case scenario (i.e., a depressed patient receives an adequate dose of an antidepressant drug for a sufficient time), only 30%–50% of patients experience a complete remission. In this issue, Dr. Tranter and colleagues7 emphasize the deleterious effects of settling for a response rather than a thorough remission. Another significant problem is the insufficient duration of treatment after the remitted state has been achieved. Since major depression is associated with a significant mortality rate, if one considers only the prevalence of suicides associated with this disorder, this represents a poor performance by the medical community. How can we blame individuals with major depression for not consulting us when we have consistently displayed such a poor track record in treating the disorder over the years? To reverse such negative trends, several changes will have to be implemented in the management of major depression. A very important one, as highlighted in the series of articles of this issue, is for health care practitioners to aim for remission rather than response. Another is to do away with the practice of prescribing an antidepressant at a minimal effective dose and waiting for weeks, if not months, before assessing the treatment response. The rationale often put forth for this course of action is that there is no urgency in getting a rapid onset of action because patients have already been ill for months or years. The reality is that by the time patients consult for their depression, they are often in a crisis situation. Consequently, there is a pressing need for relief. This should call for frequent visits to manage possible side effects, optimize the treatment regimen and maintain compliance. Ideally, utilizing a user-friendly standardized rating scale would help to monitor a patient's status effectively. The 7-item Hamilton scale proposed by Dr. McIntyre and colleagues appears to be a rapid and sensitive tool to achieve this.8 Given the low remission rate achieved with single antidepressant drugs, a significant proportion of patients may end up on 2 or more antidepressant drugs, a potentiating agent, or all of the above. In severe cases of depression, why not start with 2 agents that will initially improve comfort (i.e., choose antidepressant drugs with side effects that counteract each other) and potentially obtain a more rapid onset of action or a higher remission rate in the standard minimal time of 6–8 weeks? There are numerous examples where such an approach has been successful in other fields of medicine. Indeed, for severe infections when the pathogen is not known, 2 antibiotics are used initially. It is standard practice to use a β2-adrenergic agonist and a corticosteroid to treat asthma. As well, in cases of malignant hypertension, more than one agent may be used simultaneously. The main concern with respect to this approach to treat depression has been prescribing a second drug that may not be necessary. Why not approach the problem from a different perspective: obtain a remission in a severe depression with 2 agents, chosen on the basis of their complementary mechanisms of action and their potential to maximize patient comfort, and then worry about possibly discontinuing one drug when the patient is in full remission? There is evidence, for example, with asthma, that when children are kept asymptomatic, the long-term prognosis is improved (unpublished data). In this series, Kennedy1 alludes to similar data with respect to achieving remission early in the treatment of major depression and long-term prognosis. A study is being conducted at the University of Florida to examine such a strategy (i.e., prescribing 2 versus 1 antidepressant from the beginning of treatment to assess onset of action and efficacy, and when remission is achieved in patients taking 2 drugs, discontinuing 1 of them). Major depression is a grave illness; it should be treated in a more aggressive fashion, following the same principles used in other fields of medicine. Indeed, who among us can claim that depression has not taken away one of our acquaintances, friends or family members because of suicide? I cannot.

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)0.011
metaresearch head score (Gemma)0.045
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.045
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0020.006
Scholarly communication0.0050.009
Open science0.0020.002
Research integrity0.0140.020
Insufficient payload (model declined to judge)0.0070.005

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 head0.016
GPT teacher head0.282
Teacher spread0.267 · 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".

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Citations3
Published2002
Admission routes1
Has abstractyes

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Same venueJournal of Psychiatry and NeuroscienceSame topicTreatment of Major DepressionFrench-language works237,207