When evidencebased medicine (EBM) emerged in the 1980s as a methodological project led by clinical epidemiologists, its aim was not to replace medical experience, but to refine it. David Sackett’s original formulation defined EBM as the integration of the best available evidence with clinical expertise and patient values.1 In contemporary practice, however, this triad has become unbalanced: the hierarchy of evidence has been reinterpreted as a hierarchy of knowledge, progressively displacing the voice of the experienced clinician in favor of aggregated statistical results.2 Meta-analysis and the randomized controlled trial have become almost exclusive arbiters of scientific validity. This shift is not trivial: it transforms medicine from a clinical discipline into a predominantly methodological one. The problem does not lie in the existence of these instruments – indispensable for biomedical progress – but in their uncritical or exclusive use.3 Every clinical trial inevitably introduces a distance between the phenomenon under study and the disease as it presents in everyday practice. Inclusion and exclusion criteria, variable control, intervention standardization, and protocolized monitoring create an artificial environment that, while necessary for causal inference, alters the natural clinical course. The trial patient is rarely the realworld patient.4 Added to this is the heterogeneity of the studies integrated into metaanalyses: differences in populations, diagnostic definitions, datacollection quality, and care settings. Statistical aggregation does not resolve these tensions; it conceals them beneath global estimates that may suggest an illusory precision. Numbers replace judgment, and statistical significance is frequently conflated with clinical relevance.5 There is also a structural factor that warrants explicit consideration: the economics of research. Industrial funding, conflicts of interest, and publication pressure influence research questions, study designs, and result interpretation. This does not automatically invalidate the evidence, but it does require a critical reading that extends beyond formal methodological appraisal. In contrast, highvolume clinical experience generates a distinct and valuable form of knowledge. The physician who treats large numbers of patients with the same condition develops expertise that is neither anecdotal nor merely intuitive: it is an accumulative patternrecognition process, an implicit epidemiology built upon longitudinal observation – the essence of the socalled “clinical intuition.” This knowledge is not easily reducible to contingency tables, but neither is it epistemologically inferior. It is contextual, adaptive, and sensitive to nuances that standardized protocols tend to simplify. The central issue raised here should not be framed as an opposition between evidence and experience, but rather as a failure of integration. Medicine can be sustained neither solely on statistical aggregates nor exclusively on clinical authority. The challenge is to recover the original balance of EBM: to recognize that quantitative evidence informs, but does not replace, expert clinical judgment.1 Ignoring this integration carries a dual risk. On the one hand, medical practice is impoverished when reduced to the mechanical application of guidelines. On the other hand, the generation of high-quality observational clinical knowledge – precisely which arises from sustained contact with real patients – is discouraged. A mature medicine requires both the rigor of the trial and the wisdom of the clinician. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.
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José Antonio Gegúndez Fernández
The Pan-American Journal of Ophthalmology
Fernández-Vega Ophthalmological Institute
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José Antonio Gegúndez Fernández (Wed,) studied this question.
www.synapsesocial.com/papers/69fc2ba98b49bacb8b347aab — DOI: https://doi.org/10.4103/pajo.pajo_18_26
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