Evidence mapPaperPMID 41714410Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

Pharmacotherapy of major depressive disorder in older adults: from an evidence-informed stepwise algorithm to precision medicine.

Eric J Lenze, Jordan F Karp, Marie Anne Gebara, Ginger E Nicol, Benoit H Mulsant

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In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

5 authors.

Eric J LenzeDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA. lenzee@wustl.edu.
Jordan F KarpDepartment of Psychiatry, University of Arizona School of Medicine, Tucson, AZ, USA.
Marie Anne GebaraDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Ginger E NicolDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.ORCID http://orcid.org/0000-0001-5823-6129
Benoit H MulsantCentre for Addiction and Mental Health, Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto School of Medicine, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-0303-6450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmacotherapy of late-life depression (LLD) is characterized by clinical complexity. Older adults are living longer with multimorbidity, frailty and polypharmacy, and are taking more CNS-active medications and substances. These add to the risk and complexity of adding or changing depression treatment. At the same time, there are more medication options for depression and the use of many of them entails balancing potentials risks and benefits. As a result, the pharmacotherapy of LLD should be guided by tools such as algorithms or decision trees to maximize effectiveness and minimize risks of depression treatment. We propose an evidence-informed stepwise algorithm, based on three decades of clinical trials. With this algorithm, treatment starts with serotonin-selective reuptake inhibitors because of their safety and ease of use. If the patient does not respond, the next step is switching to serotonin-norepinephrine reuptake inhibitors, followed by augmentation (with aripiprazole as the preferred agent). For older patients who do not tolerate or do not respond to traditional pharmacotherapy, treatment options include transcranial magnetic stimulation, ketamine, or electroconvulsive therapy. Psychotherapy can be used in combination with antidepressants at any point in this algorithm. We also discuss the need for precision medicine research to improve treatment outcomes in LLD, presenting two approaches. The first is a "lock and key" approach, in which some patients need a specific medication to treat their depression, which requires biotyping to predict. The second is a "simple vs. complex depression" approach, which posits that some with TRD have a more complex illness consisting of less intact brain structure and function and are unlikely to benefit from any traditional treatment; they require novel-mechanism treatments targeting their specific pathophysiology, such as impaired slow wave sleep or accelerated biological aging. In the coming years, we expect these two complementary approaches to improve the outcomes of the increasing population of older adults who suffer from depression.

Identifiers

PMID41714410

What Socratic holds

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Registered trials

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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 Socratic graph.