Evidence map›Paper›PMID 42415800›Full record

ArticleFrontiers in medicine2026

The Open State Principle: a second-order framework for outcome interpretation and decision-making in aesthetic clinical systems.

Andrea Felice Armenti

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Andrea Felice ArmentiLA VISION Training Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aesthetic clinical practice-including aesthetic surgery, non-surgical aesthetic medicine, dermatologic procedures, and biologically active interventions-has expanded substantially over the past two decades. This expansion has been accompanied by an increasing reliance on validated outcome instruments, patient-reported outcome measures (PROs), and composite endpoints for the evaluation of treatment success. Although these instruments demonstrate psychometric robustness and are widely accepted in clinical and regulatory contexts, they operate in the absence of a unifying theoretical framework that clarifies what aesthetic outcomes, naturalness, treatment response, and personalization epistemically represent. Current approaches commonly treat aesthetic outcomes as directly measurable properties of treated anatomy, while variability between observers, contexts, and instruments is frequently attributed to subjectivity or measurement noise. This perspective obscures the inferential structure underlying aesthetic evaluation and contributes to persistent conceptual fragmentation across surgical and non-surgical domains. In particular, it leaves unresolved the ontological status of outcome measures, the role of observer dependence, and the interpretability of composite scores aggregating heterogeneous sources of information. In this work, we introduce the Open State Principle (OSP), a second-order foundational framework that characterizes aesthetic clinical evaluation as operating on open states under irreducible biological, perceptual, and decision-level uncertainty. The OSP does not propose new metrics, invalidate existing validated scales, or prescribe clinical practice. Rather, it establishes minimal coherence constraints that any description of aesthetic outcome, naturalness, response to treatment, regeneration claims, or personalization must satisfy. From this principle, we derive necessary implications, including the impossibility of observer-independent aesthetic outcomes, the interpretation of treatment response as an inferential update relative to baseline expectations rather than a post-treatment state, the relational and context-dependent nature of naturalness judgments, the treatment of regeneration claims as causal hypotheses rather than observable endpoints, and the ontological fragility of composite scores that aggregate across distinct inferential levels. The OSP is fully compatible with existing validated instruments and regulatory practices. By reframing aesthetic evaluation as inference rather than direct measurement, it provides a unifying interpretive framework across aesthetic surgery and non-surgical aesthetic medicine, clarifies sources of non-replicability and apparent disagreement, and establishes a principled conceptual foundation for future methodological and mathematical developments in aesthetic clinical research.

Indexed as

aesthetic outcomesclinical decision-makingcomposite endpointsinferential uncertaintymedical epistemologyobserver dependenceoutcome interpretation

Identifiers

PMID42415800
PMCPMC13338874

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.