ArticleMagnetic resonance in medicine2023
Identification of new resonances in downfield
Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Enhancement of in vivo 7T magnetic resonance neuroimaging via flexible metasurfaces.Npj imaging · 2026Article
- Characteristics of mDIXON-Quant and proton magnetic resonance spectroscopy imaging of thigh skeletal muscles in patients with stroke-related sarcopenia: a prospective case-control study.Journal of Yeungnam medical science · 2025Article
- Optimization ofMagnetic resonance in medicine · 2025Article
- Personalized and muscle-specific OXPHOS measurement with integrated CrCEST MRI and proton MR spectroscopy.Nature communications · 2024Article
- Optimization ofmedRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
purposeThe purpose of this study was to identify and characterize newly discovered resonances appearing in the downfield proton MR spectrum (DF
methodsDownfield
resultsIn all participants, we observed new resonances at 9.7, 10.1, 10.3, and 10.9 ppm in the DF
conclusionWe have identified new proton resonances in vivo in human calf muscle occurring at chemical shifts of 9.7, 10.1, 10.3, and 10.9 ppm. These preliminary results are promising for investigating the role of NR/NMN and L-tryptophan metabolism in understanding the de novo and salvage pathways of NAD
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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.