ArticleNeuropsychiatric disease and treatment2011
When neurologist and patient disagree on reasonable risk: new challenges in prescribing for patients with multiple sclerosis.
Article in Neuropsychiatric disease and treatment, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Unless Something Goes Wrong: Making Art to Understand and Mitigate the Risk of Therapeutic Inertia in the Treatment of Multiple Sclerosis.Journal of patient experience · 2023Article
- High-Efficacy Disease-Modifying Therapies in People with Relapsing-Remitting Multiple Sclerosis: The Role of Risk Attitude in Treatment Decisions.The patient · 2021Article
- Assessing Pharmacists' Preferences towards Efficacy Attributes of Disease-Modifying Therapies in Relapsing-Remitting Multiple Sclerosis.Pharmacy (Basel, Switzerland) · 2020Article
- Risk-benefit considerations in the treatment of relapsing-remitting multiple sclerosis.Neuropsychiatric disease and treatment · 2013Article
- Medical decisions are not just about the facts: What a life-threatening virus can teach us about empathy, psychology, and the practice of neurology.Neurology. Clinical practice · 2012Article
- Impact of Shared Decision Making on Disease-Modifying Drug Adherence in Multiple Sclerosis.International journal of MS careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
New more powerful therapies for the treatment of multiple sclerosis may also confer a potential for unprecedented life-endangering side effects. How does a physician respond to a patient's request for a treatment the benefit of which cannot be clearly established as worth its risk? The current challenge with prescription of natalizumab (Tysabri(®), Biogen Idec) is used to illustrate how this conflict creates an opportunity to re-examine our goals as physicians and the nature of the physician-patient relationship. Understanding the physician's role in that partnership, and the ethical and psychological issues impacting on how reasonable risk is determined, can improve the neurologist's capacity to explicate such quandaries. Redefining what is required to mediate disagreement between doctors and patients about reasonable risk is at the heart of why many of us became physicians. However, such nuanced interpersonal dynamics of patient care can be neglected due to the time and resource pressures of our practices. These demands have increased the seductiveness of the efficiencies promoted by the trend toward the pseudo-objectification of evidence-based care, which has arguably monopolized the healing conversation often to the detriment of the shared narrative. We examine and attempt to reframe the fiduciary and biopsychosocial contretemps of the doctor and patient disagreeing on risk, emphasizing its humanistic, relational dimensions.
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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.