Evidence map›Paper›PMID 35439270›Full record

ArticlePloS one2022

Recommendations for the pharmacological treatment of treatment-resistant depression: A systematic review protocol.

Franciele Cordeiro Gabriel, Airton Tetelbom Stein, Daniela Oliveira de Melo, Géssica Caroline Henrique Fontes-Mota, Itamires Benício Dos Santos, Camila da Silva Rodrigues, Mônica Cristiane Rodrigues, Renério Fráguas, Ivan D Florez, Diogo Telles Correia and 1 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
–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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Treatment-Resistant Depression in Older Adults.The New England journal of medicine · 2024
    Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Franciele Cordeiro GabrielDepartamento de Farmácia, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, São Paulo, Brasil.ORCID 0000-0002-4375-3729
Airton Tetelbom SteinDepartamento de Saúde Coletiva, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brasil.
Daniela Oliveira de MeloDepartamento de Ciências Farmacêuticas, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, São Paulo, Brasil.
Géssica Caroline Henrique Fontes-MotaDepartamento de Farmácia, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, São Paulo, Brasil.
Itamires Benício Dos SantosDepartamento de Ciências Farmacêuticas, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, São Paulo, Brasil.ORCID 0000-0002-8693-3121
Camila da Silva RodriguesDepartamento de Ciências Farmacêuticas, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, São Paulo, Brasil.
Mônica Cristiane RodriguesFaculdade de Saúde Pública, Universidade de São Paulo, São Paulo, São Paulo, Brasil.
Renério FráguasLaboratório de Neuro-imagem em Psiquiatria-LIM-21, Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, Divisão de Psiquiatria e Psicologia, Hospital Universitário, Universidade de São Paulo, São Paulo, São Paulo, Brasil.
Ivan D FlorezSchool of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-0751-8932
Diogo Telles CorreiaDepartamento de Psiquiatria e Psicologia da Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal.
Eliane RibeiroDepartamento de Farmácia, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, São Paulo, Brasil.ORCID 0000-0003-0886-368X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDepression is a serious and widespread mental health disorder. Although effective treatment does exist, a significant proportion of patients with depression fail to respond to antidepressant treatment trials, a condition named treatment-resistant depression. Efficient approach should be given this condition in order to revert the burden caused by depression. Clinical practice guidelines (CPGs) are evidence-based health promotion instruments to improve diagnosis and treatment. CPGs recommendations for treatment-resistant depression must be trustworthy. The objective of the proposed study is to systematically identify, appraise the quality of CPGs for the treatment of depression and elaborate a synthesis of recommendations for treatment-resistant depression of CPGs considered to be of high quality and with high quality recommendations. METHODS AND ANALYSIS: We will search the databases of organizations, such as PubMed, Embase, Cochrane Library, PsycInfo, and the Virtual Health Library, and organizations that develop CPGs. Three independent researchers will assess the quality of the CPGs and their recommendations using the AGREE II and AGREE-REX instruments, respectively. Given the identification of divergences and convergences as well as weak and strong points among high quality CPGs, our work may help developers, clinicians and eventually patients. ETHICS AND DISSEMINATION: No ethical approval is required for a systematic review, as no patient data will be used. The research results will be disseminated in conferences and submitted to a peer reviewed journal.

Indexed as

Depressive Disorder, Treatment-ResistantFrailtyAntidepressive AgentsDatabases, FactualHealth PromotionHumansSystematic Reviews as TopicAntidepressive Agents

Identifiers

PMID35439270
PMCPMC9017892

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.