Evidence map›Paper›PMID 23599251›Full record

ReviewSchizophrenia bulletin2013

Challenges in the treatment of major depressive disorder with psychotic features.

Anthony J Rothschild

Open access · bronzeAbstract readReview
In one paragraph

Review in Schizophrenia bulletin, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

38 citing papers in PubMed, 123 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Understanding Psychotic Depression.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Article
  8. Article
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  12. Article
  13. Review
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  16. Review
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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

1 author at 1 institution in 1 country.

Anthony J RothschildUniversity of Massachusetts Medical School and UMass Memorial HealthCare, Worcester, MA, USA. anthony.rothschild@umassmemorial.org
UMass Memorial Health Care · US

Funding

Acute Pharmacotherapy of Unipolar Psychotic DepressionU01MH062624 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ROTHSCHILD, ANTHONY J · 2002 to 2015
$2.9M
NIMH NIH HHS MH 062624NIMH NIH HHS U01 MH062624
6 · The paper itself

Abstract

Psychotic depression is associated with significant morbidity and mortality but is underdiagnosed and undertreated. In recent years, there have been several studies that have increased our knowledge regarding the optimal treatment of patients with psychotic depression. The combination of an antidepressant and antipsychotic is significantly more effective than either antidepressant monotherapy or antipsychotic monotherapy for the acute treatment of psychotic depression. Most treatment guidelines recommend either the combination of an antidepressant with an antipsychotic or ECT for the treatment of an acute episode of unipolar psychotic depression. The optimal maintenance treatment after a person responds to either the antidepressant/antipsychotic combination or the ECT is unclear particularly as it pertains to length of time the patient needs to take the antipsychotic medication. Little is known regarding the optimal treatment of a patient with bipolar disorder who has an episode of psychotic depression or the clinical characteristics of responders to medication treatments vs ECT treatments.

Indexed as

Electroconvulsive TherapyAffective Disorders, PsychoticAntidepressive AgentsAntipsychotic AgentsDrug Therapy, CombinationHumansMajor Depressive DisorderAntidepressive AgentsAntipsychotic Agentsdelusional depressionmajor depression with psychotic featurespsychotic depression

Identifiers

PMID23599251
PMCPMC3686458
OpenAlexW2131564365

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.