Evidence map›Paper›PMID 36639751›Full record

ArticleBMC psychiatry2023

Predictors of time to first symptomatic recovery of major depressive disordered patients: a case study at Jimma University Medical Center.

Ketema Zerihun Asefa, Tadele Degefa Bedada, Jaleta Abdisa Fufa, Firomsa Shewa Gari, Gurmessa Nugussu Gelcho, Geremew Muleta Akessa

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. 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
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Ketema Zerihun AsefaDepartment of Statistics, College of Natural and Computational Science, Madda Walabu University, Bale-Robe, Oromia, Ethiopia.
Tadele Degefa BedadaDepartment of Statistics, College of Natural and Computational Science, Madda Walabu University, Bale-Robe, Oromia, Ethiopia.
Jaleta Abdisa FufaDepartment of Statistics, College of Natural Science, Jimma University, Jimma, Oromia, Ethiopia.
Firomsa Shewa GariDepartment of Statistics, College of Natural and Computational Science, Assosa University, Assosa, Benishangul Gumuz, Ethiopia.
Gurmessa Nugussu GelchoDepartment of Statistics, College of Natural Science, Jimma University, Jimma, Oromia, Ethiopia. gurmessang3.88@gmail.com.
Geremew Muleta AkessaDepartment of Statistics, College of Natural Science, Jimma University, Jimma, Oromia, Ethiopia.
Jimma University · ETMadda Walabu University · ETAsossa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor Depressive Disorder is one of the most common mental disorders, and it is the main cause of disability worldwide with a prevalence ranging from 7 to 21%.

objectiveThe goal of this study was to predict the time it took for patients with severe depressive disorders at Jimma University Medical Center to experience their initial symptomatic recovery. STUDY

designThe researchers utilized a prospective study design.

methodsPatients with major depressive disorder were followed up on at Jimma University Medical Center from September 2018 to August 2020 for this study. The Gamma and Inverse Gaussian frailty distributions were employed with Weibull, Log-logistic, and Log-normal as baseline hazard functions. Akaike Information Criteria were used to choose the best model for describing the data.

resultsThis study comprised 366 patients, with 54.1% of them experiencing their first symptomatic recovery from a severe depressive disorder. The median time from the onset of symptoms to symptomatic recovery was 7 months. In the study area, there was a clustering effect in terms of time to first symptomatic recovery from major depressive disorder. According to the Log-normal Inverse-Gaussian frailty model, marital status, chewing khat, educational status, work status, substance addiction, and other co-variables were significant predictors of major depressive disorder (p-value < 0.05).

conclusionThe best model for describing the time to the first symptomatic recovery of major depressive disorder is the log-normal Inverse-Gaussian frailty model. Being educated and working considerably were the variables that reduces the time to first symptomatic recovery from major depressive disorder; whereas being divorced, chewing khat, substance abused and other co-factors were the variables that significantly extends the time to first symptomatic recovery.

Indexed as

FrailtyMajor Depressive DisorderSubstance-Related DisordersAcademic Medical CentersHumansProspective StudiesAkaike information criteriaFirst symptomatic recoveryFrailtyGammaInverse gaussianLog-logisticLog-normalMajor depressive disorderWeibull

Identifiers

PMID36639751
PMCPMC9840281
OpenAlexW4315880860

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LicenceCC BY
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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.