Evidence map›Paper›PMID 33935614›Full record

ArticlePrzeglad menopauzalny = Menopause review2021

Screening and treatment of depression - recommendations for Polish health professionals.

Monika Dominiak, Anna Zofia Antosik-Wójcińska, Marta Baron, Paweł Mierzejewski

Abstract read
In one paragraph

Article in Przeglad menopauzalny = Menopause review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Monika DominiakDepartment of Pharmacology, Institute of Psychiatry and Neurology, Warsaw, Poland.
Anna Zofia Antosik-WójcińskaDepartment of Psychiatry, Medical University of Warsaw, Warsaw, Poland.
Marta BaronInstitute of Psychiatry and Neurology, Warsaw, Poland.
Paweł MierzejewskiDepartment of Pharmacology, Institute of Psychiatry and Neurology, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEpidemiological data clearly indicate that depression is becoming an increasingly important health and social problem today. Depressive disorders occur at all ages, in men and women, in different cultures, affecting individuals, their families, and, more broadly, the social and economic system of the country. The gap between the recorded number of treated patients and the prevalence of depression highlights the scale of unmet needs. With limited availability of specialists in psychiatric care, the most appropriate measures seem to be those aimed at increasing the competence of other health professionals in the diagnosis and treatment of depression. MATERIAL AND

methodsAn overview of the literature and available recommendations for the prevention, screening, and treatment of depression was performed. This work was commissioned by the Polish Ministry of Health under the Depression Prevention Program 2016-2020.

resultsBased on the literature review, we compiled the recommendations for Polish health professionals. These recommendations focus on the management of depression in the primary care setting and provide guidelines for health professionals other than psychiatrists concerning the prevention, screening, and treatment of depression.

conclusionsWe developed a clear recommendation for non-psychiatrists concerning the screening, treatment, and further management of patients with depression. Early detection of depression and implementation of treatment improves the outcomes and prognosis and reduces the mortality rate.

Indexed as

depressiondepression treatmenthealth professionalsphysiciansrecommendationsscreening

Identifiers

PMID33935614
PMCPMC8077808

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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 OpenQuestion graph.