Evidence map›Paper›PMID 28178306›Full record

SynthesisPloS one2017

Indicators of patients with major depressive disorder in need of highly specialized care: A systematic review.

Frédérique C W van Krugten, Meriam Kaddouri, Maartje Goorden, Anton J L M van Balkom, Claudi L H Bockting, Frenk P M L Peeters, Leona Hakkaart-van Roijen, Decision Tool Unipolar Depression (DTUD) Consortium

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06215313 (EMDR Versus Imagery Rescripting as a Treatment for Trauma-Related Intrusive Images), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT06215313 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

EMDR Versus Imagery Rescripting as a Treatment for Trauma-Related Intrusive Images

TypeinterventionalSponsorGeestelijke Gezondheidszorg Eindhoven (GGzE)Ran2025 to 2026Enrolled42ConditionsStress Disorders, Post-Traumatic, DepressionArmsEye Movement Desensitization and Reprocessing, Imagery Rescripting
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Remission in Depression and Associated Factors at Different Assessment Times in Primary Care in Chile.Clinical practice and epidemiology in mental health : CP & EMH · 2018
    Article
  10. Article
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

8 authors.

Frédérique C W van KrugtenInstitute of Health Policy & Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8592-3581
Meriam KaddouriInstitute of Health Policy & Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Maartje GoordenInstitute of Health Policy & Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Anton J L M van BalkomDepartment of Psychiatry and EMGO Institute for Health and Care Research, VU-University Medical Center and GGZ inGeest, Amsterdam, The Netherlands.
Claudi L H BocktingDepartment of Clinical Psychology, Utrecht University, Utrecht, The Netherlands.
Frenk P M L PeetersDepartment of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands.
Leona Hakkaart-van RoijenInstitute of Health Policy & Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Decision Tool Unipolar Depression (DTUD) Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEarly identification of patients with major depressive disorder (MDD) that cannot be managed by secondary mental health services and who require highly specialized mental healthcare could enhance need-based patient stratification. This, in turn, may reduce the number of treatment steps needed to achieve and sustain an adequate treatment response. The development of a valid tool to identify patients with MDD in need of highly specialized care is hampered by the lack of a comprehensive understanding of indicators that distinguish patients with and without a need for highly specialized MDD care. The aim of this study, therefore, was to systematically review studies on indicators of patients with MDD likely in need of highly specialized care.

methodsA structured literature search was performed on the PubMed and PsycINFO databases following PRISMA guidelines. Two reviewers independently assessed study eligibility and determined the quality of the identified studies. Three reviewers independently executed data extraction by using a pre-piloted, standardized extraction form. The resulting indicators were grouped by topical similarity, creating a concise summary of the findings.

resultsThe systematic search of all databases yielded a total of 7,360 references, of which sixteen were eligible for inclusion. The sixteen papers yielded a total of 48 unique indicators. Overall, a more pronounced depression severity, a younger age of onset, a history of prior poor treatment response, psychiatric comorbidity, somatic comorbidity, childhood trauma, psychosocial impairment, older age, and a socioeconomically disadvantaged status were found to be associated with proxies of need for highly specialized MDD care.

conclusionsSeveral indicators are associated with the need for highly specialized MDD care. These indicators provide easily measurable factors that may serve as a starting point for the development of a valid tool to identify patients with MDD in need of highly specialized care.

Indexed as

ComorbidityDepressionHumansMajor Depressive DisorderMental Health ServicesPsychiatric Status Rating ScalesSocioeconomic Factors

Identifiers

PMID28178306
PMCPMC5298252

What OpenQuestion holds

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Registered trials

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.