Sep 2026· Frontiers in Cellular and Infection Microbiology· Vol 16· 0 citations· 35 references
Medicine
TL;DR
The findings show a recurring distinction between mechanism-level evidence and the evidence needed to establish patient-level causation or durable clinical benefit, and map how different forms of evidence are distributed and translated across the PTLDS–CLD literature.
Abstract
The debate between post-treatment Lyme disease syndrome (PTLDS) and chronic Lyme disease (CLD) reflects different views about the causes and treatment of persistent symptoms attributed to Lyme disease, including symptoms that continue after recommended antibiotic treatment. This study examines how competing positions in the controversy draw on different scientific evidence domains, and how findings from those domains are extended into broader clinical and mechanistic claims. We analysed a 2000–2024 literature corpus using a prompt-optimised three-model large language model ensemble to classify abstracts by stance, theme and model-derived study design. We then conducted targeted full-text audits of selected retreatment and treatment-duration trials, and preclinical persistence studies. Across the higher-volume evidence domains, model-derived claim orientations differed by study-design tier. Observational studies and commentaries showed PTLDS-oriented distributions, whereas case reports or series, animal models, and in vitro studies showed CLD-oriented distributions. The smaller RCT and guideline tiers were also PTLDS-oriented, but the small numbers and wide confidence intervals made this direction uncertain. The clinical trial audit showed that some trials reported short-term or symptom-specific improvements, while the interpretation of these findings depended on their durability, endpoint consistency, eligibility criteria, treatment burden, and safety. The citation-conditioned preclinical audit identified findings that support several candidate mechanisms and generate hypotheses for further study, but these findings did not by themselves establish viable infection as the cause of persistent human symptoms or demonstrate the efficacy of prolonged antimicrobial treatment. The findings show a recurring distinction between mechanism-level evidence and the evidence needed to establish patient-level causation or durable clinical benefit. They map how these different forms of evidence are distributed and translated across the PTLDS–CLD literature.
Summary Most drug development stories end predictably: promising compounds either succeed or fail. Occasionally, however, a therapy repeatedly returns from apparent extinction. PXT3003 for Charcot-Marie-Tooth disease type 1A (CMT1A) represents one such example. More than a decade after early promise, the program has su...
This review is the first to integrate Orem’s Self-Care Theory into a 3D evaluative framework for large language models in chronic care, thereby moving beyond fragmented, technology-centric assessments toward a structured, nursing-informed, and theory-driven synthesis.
Ling-Hui Zhang, P. Huai, Rui Xu et al.· Journal of Medical Internet...· 0 citations
These findings show that knowledge graphs support hypothesis generation in two ways: they identify biological endpoint pairs absent from the literature, and their mechanistic paths guide how LLMs reason between them.
Dominic Okonkwo, Adetayo O. Okunoye, I. B. Arpinar· 0 citations
Interventions for Alzheimer's disease (AD) have repeatedly been advanced from epidemiological associations, biological hypotheses and preclinical findings, yet many have failed in randomized trials and some have produced signals of clinical worsening. We examine illustrative successful and unsuccessful programs across...
B. Imbimbo, Nunzio Pomara, L. Pini et al.· Biomedicine & pharmacotherap...· 0 citations
ABSTRACT COVID-19 infection has been frequently associated with cognitive deficits that persist for months after the acute phase, but the impact of vaccination on preventing these deficits remains uncertain. Evidence suggests that immunization reduces the incidence and severity of post-COVID symptoms, yet few studies h...
L. G. da Silva, Jordano César Milagres Oliveira, Bruna Carmeni Di Fini et al.· Dementia & Neuropsychologia· 0 citations
Expanding therapeutic options for Alzheimer’s disease and related dementias (ADRD) requires biologically grounded targets, yet nomination demands labor-intensive analysis and multidisciplinary evidence synthesis. To address this challenge, we present ARSA, an autonomous research scientist that transforms natural-langua...
Xue-Yang Li, Jia-Hui Liu, Jian-Nan Liu et al.· bioRxiv· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
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