ArticleFrontiers in public health2026
The success-failure inversion in modern medicine.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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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.
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Authors and funding
3 authors.
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Abstract
Twentieth-century medicine was most successful against diseases sharing a particular causal architecture: a discrete lesion standing in a relation of approximate necessity and sufficiency to a clinical syndrome, amenable to specific perturbation. Mortality from acute myocardial infarction has fallen by nearly 90 percent in the United States since 1970; pediatric leukemia has become survivable; HIV has become chronic. That success has shifted the residual burden toward conditions with a different architecture-late-life neurodegeneration, multimorbidity, frailty, idiopathic neuropathy-in which pathology is distributed across scales, and no single node carries the necessity that targeted intervention requires. The failure is not that medicine has extended life. It is that biomedical institutions have not adapted to the forms of vulnerability that accompany longer lives, and the non-adaptation is structural rather than accidental. This paper asks why: why funding and evaluation systems systematically favor research on discrete diseases and individual molecular targets over integrated research on aging as a systemic, multiscale, temporally extended process. We distinguish two levels at which the apparatus fragments its object.
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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.