ArticleDiagnostics (Basel, Switzerland)2026
Reply to Kiral, B.S. Ultrasonographic Evaluation of Superior Cluneal Nerve Entrapment: Methodological Considerations. Comment on "Iudicelli et al. The Role of Musculoskeletal Ultrasound in Detecting Superior Cluneal Nerve Entrapment: Biomechanical Insights in Chronic Low Back Pain-A Pilot Study.
Article in Diagnostics (Basel, Switzerland), 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.
The trial behind it
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
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We thank Dr. Kiral for a thoughtful and constructive commentary, with which we largely agree. Surrogate biomechanical markers and direct visualisation of the SCN are complementary rather than competing: the markers were intended to extend diagnostic support to the many settings and patients in whom direct visualisation is not easy to achieve, whether for patient-related reasons or because high-resolution equipment and dedicated expertise are not universally available. We agree that these findings are supportive rather than primary diagnostic markers, and that their value may lie in the triad within a clinically pre-selected population rather than in any single sign. The nociceptive-neuropathic distinction the author emphasises is itself one of the central conclusions of our study.
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Registered trials
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.