Dominic S.
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The concepts and arguments in this article use multiple sclerosis (MS) as an example (I have had it for 35 years), but they can be applied across many diseases. MS patients are handed detailed, formalised information about the risks of taking a drug and vague, inconsistent, information about the risks of leaving the disease untreated or undertreated. This opinion piece argues that the imbalance distorts decision-making, often in the direction of delay, and that the usual justification (not wanting to frighten people) makes the problem worse. It asks who is actually placed to assemble long-term comparative data on delayed and low-efficacy treatment, names registries and industry as the candidates, and sets out what a patient-facing 'disease risk sheet' would need to contain. Speculation is labelled as such. It ends with a direct challenge to anyone working in MS research, registries, charities or industry to say whether such a dataset already exists. Read it if you work on treatment decision support, risk communication or registry outputs, or if you want the case for why the current comparison is not a fair one. This article was first published on LinkedIn on 14 January 2026.
