ReviewSpinal cord series and cases2020
Biases in the evaluation of self-harm in patients with disability due to spinal cord injury.
Review in Spinal cord series and cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Prevalence and psychosocial interventions of mental disorders following traumatic spinal cord injury: a systematic review and meta-analysis based on knowledge graphs.BMC psychiatry · 2026Pooled it
- Associated Factors of Suicidal Behavior Among Persons with Physical Disability: A Systematic Review.Indian journal of psychological medicine · 2024Review
- Psychosocial Consequences of Spinal Cord Injury: A Narrative Review.Journal of personalized medicine · 2022Review
- Mental Health and Spinal Cord Injury: Clinical Considerations for Rehabilitation Providers.Current physical medicine and rehabilitation reports · 2022Review
- COVID-19 Clinical Bias, Persons with Disabilities, and Human Rights.Health and human rights · 2020Article
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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSuicide is a global problem and accurate assessment of risk for self-harm is critical. Even morally principled clinicians can manifest bias when assessing self-harm in patients with physical disabilities such as spinal cord injury (SCI). Assessment of self-harm is an obligation for health care clinicians and overestimating or underestimating risk may undermine a patient's trust in their care, possibly leading to less engagement, increased apathy about having an interest in living, and less adherence to healthy treatment options. CASE PRESENTATION: Introduces readers to three biases that can impact decision-making regarding a patient with a disability when assessing the patient's risk for self-harm: (1) ineffectual bias, (2) fragile friendliness bias, and (3) catastrophe bias. These preconceptions are derived from a mix of paternalism, projection, low expectations, pity, and infantilization. In this paper, we explain how each bias can affect clinical decision-making regarding diagnosis, treatment, prognosis, and prevention for patients with SCI within a common case scenario. Readers can employ personal reflection and potential self-application when they encounter individuals with SCI in and outside clinical settings. DISCUSSION: Unchecked biases toward the disabled and patients with SCI can undermine ethical caregiving. Biases are habits of mind and thoughtful clinical and education interventions can improve clinical practice. The literature on health care bias with other minority groups is instructive for investigating biases related to patients with disabilities, and especially for clinicians outside of rehabilitation medicine.
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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.