Evidence map›Paper›PMID 38568318›Full record

ReviewDer Nervenarzt2024

[Clinical management of treatment-resistant depression].

Bernhard T Baune, Sarah E Fromme, Maximilian Kiebs, René Hurlemann

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Nervenarzt, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bernhard T BauneKlinik für Psychische Gesundheit, Universitätsklinikum Münster, Münster, Deutschland.
Sarah E FrommeKlinik für Psychische Gesundheit, Universitätsklinikum Münster, Münster, Deutschland.
Maximilian KiebsUniversitätsklinik für Psychiatrie & Psychotherapie, Fakultät VI Medizin & Gesundheitswissenschaften, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Deutschland.
René HurlemannUniversitätsklinik für Psychiatrie & Psychotherapie, Fakultät VI Medizin & Gesundheitswissenschaften, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Deutschland. rene.hurlemann@uni-oldenburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment-resistant depression (TRD) is a complex disorder. Although no standardized definition has been established to date, there are promising and well-established treatment options for the condition. Looking at the current pharmacological and neuromodulatory strategies, there is an urgent need for fast-acting and well-tolerated treatment options. The search for new mechanisms of action goes beyond the monoamine hypothesis. For example, esketamine is already an established treatment method that is fast-acting and well tolerated, while psychedelics or esmethadone are currently still undergoing clinical trials. Compounds that can be used off-label, such as dextromethorphan or anti-inflammatory strategies are also presented. Pharmacological approaches that focus on the modulation of the glutamatergic system or belong to the class of psychedelics, appear to be of particular importance for current research and development. These particularly include substances that rapidly exert clinical effects and have a favorable side-effect profile.

Indexed as

Antidepressive AgentsDepressive Disorder, Treatment-ResistantHallucinogensHumansKetamineAntidepressive AgentsEsketamineHallucinogensKetamineExperimental treatmentGlutamatergic systemOff-label usePharmacological therapyPsychedelics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.