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Record W4313223571 · doi:10.21203/rs.3.rs-2138354/v1

Delphi panel to obtain clinical consensus regarding the importance of rapid reduction in depressive symptoms in patients with major depressive disorder with acute suicidal ideation or behavior (MDSI)

2022· preprint· en· W4313223571 on OpenAlexaboutno aff
Stephane Borentain, Carter D. McCormick, Kruti Joshi, Marguerite O’Hara, Qiaoyi Zhang, Siobhan Mulhern Haughey, Sarah Richards, Joana Anjo, David Zante, Rachel Kewley, Danielle E. Riley, Nirav Nagda, Richard Perry

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsSuicidal ideationPsychiatryMajor depressive disorderMedicinePsychological interventionDepression (economics)AntidepressantDelphi methodSuicide preventionPoison controlAnxietyEmergency medicineMood

Abstract

fetched live from OpenAlex

Abstract Background: Though oral antidepressants can be effective at reducing depressive symptoms, they can take 4–6 weeks to reach full effect. Limitations relating to slow onset of action and resistance to current treatments for patients with major depressive disorder (MDD), particularly for MDD in a psychiatric emergency such as major depressive disorder with acute suicidal ideation or behavior (MDSI), is an issue across all countries and healthcare settings. Due to the current unmet needs and slow onset of action from oral antidepressants, patients with MDSI need interventions that provide a rapid relief of depressive symptoms. This study aimed to identify unmet needs in the treatment for MDSI, specifically exploring the potential clinical benefits of a rapid reduction of depressive symptoms, associated with treatment with rapid acting antidepressant such as esketamine nasal spray. Methods: A Delphi panel consisting of independent psychiatrists experienced in treating patients with MDSI (n=12) from the United States, Canada, United Kingdom, and European Union, was conducted between December 2020–June 2021. Psychiatrists were recruited and screened by an independent party to ensure that they had the required experience. Psychiatrists completed two rounds of anonymized questionnaires, and a virtual consensus meeting to collect their perceptive on current treatments for MDSI. Results: This research confirmed current unmet needs in the treatment of patients with MDSI. Hopelessness, functional impairment, worsening of symptoms, recurrent hospitalization and higher risk of suicide attempt were considered key consequences of the slow onset of action of oral antidepressants. Psychiatrists anticipated that treatment with rapid-acting antidepressants would provide benefits such as shorter hospital stays, improved patient engagement/compliance, and improved patient outcomes. For long-term benefits, psychiatrists agreed that improved daily functioning and increased trust/confidence in treatment options were key benefits of rapid-acting antidepressants. Conclusions: These findings suggest that the use of rapid-acting antidepressants such as esketamine nasal spray, in a psychiatric emergency, may help alleviate some of the current unmet needs experienced by patients with MDSI. This Delphi panel of psychiatrists highlighted that treatment with rapid-acting antidepressants can provide clinically meaningful benefits in the and long-term, as well as the immediate- and short-term, for patients with MDSI.

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)0.068
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.081
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0020.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.072
GPT teacher head0.424
Teacher spread0.351 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2022
Admission routes1
Has abstractyes

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