Evidence map›Paper›PMID 39701127›Full record

ArticleNMR in biomedicine2025

Macromolecule Modelling for Improved Metabolite Quantification Using Short Echo Time Brain

Andrea Dell'Orco, Layla Tabea Riemann, Stephen L R Ellison, Semiha Aydin, Laura Göschel, Bernd Ittermann, Anna Tietze, Michael Scheel, Ariane Fillmer

Abstract read
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Andrea Dell'OrcoCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Institute of Neuroradiology, Berlin, Germany.ORCID 0000-0002-3964-8360
Layla Tabea RiemannPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany.
Stephen L R EllisonLGC Limited, London, UK.
Semiha AydinPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany.
Laura GöschelDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Bernd IttermannPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany.ORCID 0000-0002-4087-471X
Anna TietzeCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Institute of Neuroradiology, Berlin, Germany.
Michael ScheelCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Institute of Neuroradiology, Berlin, Germany.
Ariane FillmerPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany.

Funding

EMPIR program co-financed by the participating statesEuropean Union 's Horizon 2020 research and innovation program
6 · The paper itself

Abstract

To improve reliability of metabolite quantification at both, 3 T and 7 T, we propose a novel parametrized macromolecules quantification model (PRaMM) for brain

Indexed as

BrainMacromolecular SubstancesProton Magnetic Resonance SpectroscopyAdultFemaleHumansMaleMetabolomeReproducibility of ResultsMacromolecular Substances1H‐MRS7 Teslabrain MRSLCModelmacromoleculeneurochemistryshort‐TE

Identifiers

PMID39701127
PMCPMC11658865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.