Evidence map›Paper›PMID 35558003›Full record

ArticleJournal of central nervous system disease2022

Determining Prevalence of Depression and Covariates of Depression in a Cohort of Multiple Sclerosis Patients.

Lauren M Tardo, Morgan McCreary, Harris Majeed, Benjamin M Greenberg

Abstract read
In one paragraph

Article in Journal of central nervous system disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Depression and anxiety in multiple sclerosis. Review of a fatal combination.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
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.

Lauren M TardoDepartment of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0003-0214-633X
Morgan McCrearyDepartment of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.
Harris MajeedUT Southwestern Medical School, Dallas, TX, USA.
Benjamin M GreenbergDepartment of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is one of the most common symptoms experienced by multiple sclerosis patients and may be secondary to the disease itself as well as other variables such as age, disease severity and side effects of treatment. Objective: To determine if there is an association between disease modifying therapies and depression rates based on PHQ9 scores in multiple sclerosis. Methods: This was a retrospective chart review. Patients followed at the University of Texas Southwestern Multiple Sclerosis and Neuroimmunology Clinic from 2017 to 2020 were included in this study. Patients' most recent PHQ-9 scores were used. The following data was extracted from patient charts: disease modifying therapy, age, disease duration, gender, antidepressant use and ambulatory status. Results: Data from our study included 2611 individual PHQ-9 scores. The majority of our patients were female and the mean age across all treatment groups was 50.37 years old. The median disease duration across all treatment groups was 12.74 years. Most patients in this cohort required no ambulatory assistance. 43.86% of patients were on antidepressants and use was correlated with a higher PHQ9 score. The median PHQ 9 score across all treatment groups was 4 (Interquartile range = 7). Across treatment groups, patients on interferon therapy had the lowest PHQ 9 scores with a median of 2. Conclusions: Our study demonstrated that there were lower PHQ-9 scores among interferon treatment group as compared to other disease modifying therapies and non-treatment groups.

Indexed as

depressionmultiple sclerosisPHQ9Psychiatry

Identifiers

PMID35558003
PMCPMC9087231

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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.