Evidence map›Paper›PMID 31803557›Full record

ArticleCureus2019

Depression and the Use of Selective Serotonin Reuptake Inhibitors in Patients with Acute Intracerebral Hemorrhage.

Maryam J Syed, Salman Farooq, Sarwar Siddiqui, Safia Awan, Mohammad Wasay

Open access · diamondAbstract read
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Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Maryam J SyedNeurology, Aga Khan University Hospital, Karachi, PAK.
Salman FarooqNeurology, Aga Khan University Hospital, Karachi, PAK.
Sarwar SiddiquiNeurology, Aga Khan University Hospital, Karachi, PAK.
Safia AwanInternal Medicine, Aga Khan University Hospital, Karachi, PAK.
Mohammad WasayNeurology, Aga Khan University Hospital, Karachi, PAK.
Aga Khan University Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Depression is a common psychiatric complication associated with stroke. However, while most studies focus on post-stroke depression (PSD) subsequent to ischemic strokes, fewer studies have specifically explored depressive symptoms and the use of selective serotonin reuptake inhibitors (SSRIs) in patients with acute intracerebral hemorrhage (ICH). The aim of our study was to identify the incidence and factors associated with depression in ICH patients and the use of SSRIs as therapy by physicians at a tertiary care hospital in Karachi, Pakistan. Materials and methods A retrospective chart review was conducted to identify patients with ICH through the International Classification of Diseases, Ninth Revision (ICD-9) coding system electronic medical records of Aga Khan University Hospital, Karachi, Pakistan. Patient records spanning a period of five years at the hospital were identified and analyzed by neurology residents. Patients' clinical, laboratory, radiological, and pharmacological data were recorded and analyzed using a structured proforma. Patients with a past history of depression or those who were taking SSRIs at the time of admission were excluded from the analysis. Depression was defined as the presence of five or more symptoms according to the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). Results Out of the 458 patients we analyzed, 258 (56%) were men and 200 (44%) were women. The mean age was 59 years. Median National Institutes of Health Stroke Scale (NIHSS) score on admission was 13 (range: 0-42), and the median modified Rankin Scale (mRS) score was 4 (range: 0-6). On neuroimaging, sites of hemorrhage in patients were found to include the basal ganglia/thalamus in 279 (61%) patients, cerebral cortex in 105 (23%), cerebellum in 25 (5%), brain stem in 17 (4%), ventricles in 17 (4%), and multiple sites in eight (2%). We found that 48 (10%) patients had a ventricular extension, and 130 (28%) had midline shift, hydrocephalus, or both. Overall, 103 (22%) patients met the DSM-IV diagnostic criteria for depression. The most common depressive symptoms included tearfulness (67%), sadness (55%), and loss of interest or pleasure in life activities (53%). None of the patients reported suicidal ideation. Only seven patients (2%) were seen by a psychiatrist. The presence of depression was not significantly associated with hemorrhage sites [prabability value (p): 0.55] or the extent of disability (p: 0.09). Among the 103 depressed patients, only 25 (24%) received SSRIs during the hospital stay. A total of 57 (12%) received SSRIs during the hospital stay, of which only 25 had met the DSM-IV diagnostic criteria for depression. The mean duration between the diagnosis of ICH and the start of SSRIs was five days (range 3-25 days). None of the patients received any psychotherapeutic help for depression. At the time of discharge, only 13 (13%) of the 103 patients diagnosed with depression were discharged on SSRIs, while 23 that had not met the DSM-IV diagnostic criteria were discharged on SSRIs. Conclusion The present study demonstrates that depression is not uncommon in acute ICH patients, and it is both underdiagnosed and inadequately treated. Physicians should be trained to accurately identify and effectively treat depressive symptoms in ICH patients. Clear guidelines should be developed to aid the diagnosis and treatment of post-ICH depression in hospital settings.

Indexed as

depressionintracerebral hemorrhagepost-stroke depressionselective serotonin reuptake inhibitors (ssri)stroke

Identifiers

PMID31803557
PMCPMC6874294
OpenAlexW2981848393

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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.