We Regulate Wrinkles Like We Regulate Cancer
Why cosmetic innovation is forced to move at oncology speed.
There is a friction running through aesthetics that both sides feel and neither side quite names. It is a low, persistent grinding between what companies are allowed to say and what actually happens in a treatment room, and it produces a strange, two-sided resentment that has become almost the ambient mood of the industry. On one side sit patients who feel quietly duped. They are convinced that the claims made for these products are inflated, that the before-and-afters and the duration figures and the promises of transformation do not survive contact with their own faces. On the other side sit companies that dread launching into a market where most real-world use falls outside the very indication they spent years and fortunes getting approved. The label describes one thing and the practice does another, and they are forbidden from discussing the gap that everyone can see. The result is an industry in which the actual truth about how these products perform, and even about how safe they are, lives in a space neither side is fully prepared or permitted to discuss. Understanding why requires looking at something most people in aesthetics never think about, the regulatory machinery that produced the labels in the first place.
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The oncology bar, applied to beauty
Here is the fact that explains most of the friction. Regulatory agencies evaluate aesthetic products using essentially the same logic they apply to oncology, to diabetes, to immunology, to the most serious therapeutic categories in medicine. To earn an approval, a product must demonstrate a quantitative improvement on a validated scale, in a well-powered pivotal trial, sustained over a defined period, with the statistical rigor of two adequate and well-controlled studies in the case of a drug. It must clear that bar against a standard designed for interventions where lives are at stake. This is a statistical endpoint, a demonstration that a measurable difference on a photonumeric scale is unlikely to have arisen by chance. It is a perfectly sensible thing to demand of a cancer therapy. It was never designed to describe what would be clinically meaningful in aesthetic practice. The thing that makes a patient happy in a treatment room is the natural movement, the harmony, the subtle and combination-dependent and technique-driven result. That bears almost no resemblance to the isolated, maximally standardized, single-variable improvement a validated scale is built to detect. The endpoint that earns the approval and the outcome that satisfies the patient are two different things, and the regulatory system, by design, only knows how to see the first.
Why a "realistic" trial would fail
Follow this to its uncomfortable conclusion. Imagine a company that wanted to seek approval for how a product is actually used in the real world, with the real technique, the real dosing, the real full-face or combination or off-label application that defines competent modern practice. Imagine it designed a pivotal trial to reflect that reality honestly. It would almost certainly fail. The very things that make real-world aesthetic practice effective, the individualization, the technique dependence, the artful deviation from a rigid protocol, are the same things that introduce variability, and variability is the enemy of a clean statistical separation on a validated scale. A trial built to mirror reality would be too noisy, too dependent on the injector, too far from the sterile single-variable comparison the regulatory bar requires. It would not produce the tidy, powered, reproducible improvement an approval demands. So companies do the only thing they can. They design trials to win approvals rather than to describe practice, isolating a narrow indication and a standardized technique that will generate the required statistical signal. Then they release the product into a market that immediately uses it in ways the trial never studied. The label is not a description of the product. It is a description of the study, and the study was engineered to satisfy a bar borrowed from oncology rather than to capture what the product does on a Tuesday afternoon in an actual practice.
The non-responder fallacy
Nowhere does this disconnect produce more confusion than in the casual, constant misuse of a single clinical term, the "non-responder." It has quietly become the industry's favorite explanation for any disappointing toxin result, and used that way it is almost always wrong. A true non-responder is a specific and relatively rare phenomenon, a patient who has developed neutralizing antibodies against the toxin that inactivate it before it can work, an immunological resistance with a real mechanism and a real definition. That is what the term means. It is not what the term is used to describe. In practice, "non-responder" gets applied to any patient whose result underwhelmed. The actual cause is far more often something entirely correctable: a poor assessment of the patient's anatomy and muscle strength, an inadequate dose, an injection technique that missed its target, or the wrong product selected for the job. Labeling those patients non-responders is more than imprecise. It is a small act of intellectual laziness that lets everyone off the hook, converting a fixable failure of assessment or dosing or technique into an immutable property of the patient. It is a symptom of the larger problem. An industry so unaccustomed to discussing the real determinants of its outcomes reaches for a pseudo-scientific label rather than confront the technique-dependent, off-label, deeply human reality of how these products actually perform.
How we might actually solve this
The disconnect is structural, but it is not unfixable. The solutions begin with admitting that a regulatory framework borrowed from oncology is the wrong instrument for an elective, quality-of-life category, and that closing the gap will require building new instruments rather than complaining about the old one.
The first move is to take real-world evidence seriously as a formal input rather than an anecdotal footnote. That means building pragmatic registries that capture how products actually perform across real techniques and real practices. It also means creating regulatory pathways that let post-market evidence expand and refine labels toward the reality of use, rather than freezing them at the artificial moment of approval. The second is to develop and validate patient-reported outcome measures that can stand alongside investigator-assessed scales, so that satisfaction, natural movement, and the lived experience of a result become measurable endpoints rather than unmeasured externalities. The third is to decouple technique and training from the label, building rigorous, standardized certification for the real-world application of these products. The enormous variable of injector skill, which the regulatory process deliberately holds constant and the market cannot, would finally have a system of accountability attached to it. The fourth is to insist on precise nomenclature as a matter of professional discipline. Reserve "non-responder" for confirmed neutralizing antibodies, and force the industry to name the real causes of suboptimal results, because a field that cannot describe its own failures accurately cannot fix them. Underneath all of these sits the largest and most necessary shift, the development of a distinct standard of clinical meaningfulness for aesthetics, separate from the statistical-significance bar imported from therapeutic medicine. It would treat this as a category where the meaningful question is whether a patient is genuinely better off. It would build its evidence and its claims around that question instead.
The deepest error here is a category mistake, the treatment of aesthetics as though it were oncology. The category is subjected to a regulatory logic built for life-and-death interventions, then released into a market that behaves nothing like the trials that governed it. Nearly all of the friction, the patient's sense of being oversold and the company's fear of its own off-label reality, flows from that single mismatch. The industry has accepted a bargain in which the label describes a study rather than a result, and then acts surprised that patients and practice keep colliding with the gap. The honest path forward is to build the evidence infrastructure, the outcome measures, and the shared vocabulary that would let the category be evaluated on its own terms rather than borrowed ones. A company that understands this will stop treating the regulatory label as the full truth of its product. It will start building the real-world evidence and the honest claims that close the distance between what was approved and what actually happens. That is the more defensible position, and in a market increasingly wary of being oversold, the more commercially durable one.
Questions worth sitting with
Any leadership team operating in this category should be willing to ask a few questions the regulatory framework encourages them to avoid.
- How much of your product's real-world use falls outside the indication you actually studied, and what is your honest plan for the truth living in that gap?
- Does your label describe a result a patient will recognize, or a statistical endpoint engineered to clear a bar borrowed from oncology?
- When your product underperforms in the field, do you know whether the cause is the patient, the dose, the technique, or the assessment, or do you reach for "non-responder" and stop asking?
- And the question the whole industry has deferred for too long: what would it take to build a standard of clinical meaningfulness for aesthetics, and who benefits from the fact that no one has?
The gap between regulatory approval and real-world performance is one of the most consequential and least discussed forces in aesthetics, shaping everything from claims strategy to launch risk to the trust patients place in the category. Helping companies navigate it honestly, building the real-world evidence, the outcome measures, and the defensible claims that close the distance rather than widen it, is a central part of what I do. If you are preparing to launch into a market where most of the use will be off label and most of the reality will live outside your study, that is a gap worth engineering for deliberately rather than discovering the hard way, and it is a good place to begin a conversation.
Schedule a consultationA pharmacist turned commercial leader who has followed products across the entire value chain — from clinical development to launch, loyalty, and lifecycle — at three of the industry’s largest names.
Work with Marga →References & further reading
- Statistical significance versus clinical meaningfulness, and the role of trial endpoints. PubMed — clinical vs statistical significance.
- FDA guidance on clinically meaningful and patient-reported endpoints. FDA — guidance documents.
The frameworks and commercial analysis here are Marga Partners’ own; the factual claims rest on the sources cited.