Evidence map›Paper›PMID 35582334›Full record

ArticleWorld journal of psychiatry2022

Dimensional (premenstrual symptoms screening tool)

Rifka Chamali, Rana Emam, Ziyad R Mahfoud, Hassen Al-Amin

Abstract read
In one paragraph

Article in World journal of psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Rifka ChamaliDepartment of Research, Weill Cornell Medicine - Qatar, Doha 00974, Qatar.
Rana EmamDepartment of Psychiatry, Hamad Medical Corporation, Doha 00974, Qatar.
Ziyad R MahfoudDepartment of Medical Education, Weill Cornell Medicine - Qatar, Doha 00974, Qatar.
Hassen Al-AminDepartment of Psychiatry, Weill Cornell Medicine - Qatar, Doha 00974, Qatar. haa2019@qatar-med.cornell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPremenstrual syndrome (PMS) is the constellation of physical and psychological symptoms before menstruation. Premenstrual dysphoric disorder (PMDD) is a severe form of PMS with more depressive and anxiety symptoms. The Mini international neuropsychiatric interview, module U (MINI-U), assesses the diagnostic criteria for probable PMDD. The Premenstrual Symptoms screening tool (PSST) measures the severity of these symptoms.

aimTo compare the PSST ordinal scores with the corresponding dichotomous MINI-U answers.

methodsArab women (

resultsAll PSST ratings were higher in participants with positive responses on MINI-U. In addition, ROC analyses showed that all areas under the curves were significant with the cutoff scores on PSST.

conclusionThis study confirms that the severity measures from PSST can recognize patients with moderate/ severe PMS and PMDD who would benefit from immediate treatment.

Indexed as

ArabsCategorical vs dimensional classificationPremenstrual dysphoric disorderPremenstrual symptoms screening tool

Identifiers

PMID35582334
PMCPMC9048450

What OpenQuestion 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 OpenQuestion graph.