ReviewThe Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses2014
Suicide prevention in neurology patients: evidence to guide practice.
Review in The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 18 citations in OpenAlex.
- Anxiety is associated with increased risk of suicidality in Parkinson's disease.Journal of Parkinson's disease · 2026Article
- Risk factors of social anxiety in patients with essential tremor.Frontiers in psychiatry · 2023Article
- Embarrassment and Shame in People With Parkinson's Disease: A New Tool for Self-Assessment.Frontiers in neurology · 2020Article
- Shame in Parkinson'S Disease: A Review.Journal of Parkinson's disease · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
objectiveThis article is an overview of the neurological diagnoses with highest attempt in suicide. The most common risk factors in suicidal ideation in neurology patients are identified, as well as the description of ways to assess and implement treatment of patients with suicidal ideation, including the recommendations for patients with specific neurological diagnosis. A guideline development is needed to address suicide concerns in these patients.
methodsA literature search was conducted to find published studies and patient guidelines that were relevant to suicidal ideation, assessment, and treatment in neurology patients.
resultsInformation found was not always exclusive for neurology patients. Findings often discussed psychiatric patients. The neurological diagnosis most associated with suicidal ideation includes multiple sclerosis, epilepsy, and Parkinson's disease. The most common risk factors for suicidal ideation are hopelessness, depression, and social isolation. As treatment factors, a therapeutic relationship, treatment for depression, assurance of patient safety, and specific interventions for suicidal prevention were identified to provide healthcare professionals in neurology ways to address suicidal issues for patients with neurological diagnoses. Three protocols highlighted staff prevention activities. DISCUSSION: Because patients with neurological disorders experience suicidal ideation with a greater risk of suicide, particularly in multiple sclerosis, epilepsy, and Parkinson's disease, the potential risk for suicide requires active assessment, monitoring, and intervention by nurses and health professionals to address this clinical issue. The assessments available require further psychometric testing for reliability and validity with patient use. There is a need for more research to develop a guideline/protocol exclusively for neurological patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.