Evidence map›Paper›PMID 34357346›Full record

ArticleMetabolites2021

An

Martina Häckl, Philipp Tauber, Frank Schweda, Helena U Zacharias, Michael Altenbuchinger, Peter J Oefner, Wolfram Gronwald

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. MultiNMRFit: a software to fit 1D and pseudo-2D NMR spectra.Bioinformatics (Oxford, England) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Extended automated quantification algorithm (AQuA) for targetedMetabolomics : Official journal of the Metabolomic Society · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Martina HäcklInstitute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
Philipp TauberInstitute of Physiology, University of Regensburg, 93053 Regensburg, Germany.
Frank SchwedaInstitute of Physiology, University of Regensburg, 93053 Regensburg, Germany.
Helena U ZachariasDepartment of Internal Medicine I, University Medical Center Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany.
Michael AltenbuchingerInstitute of Medical Bioinformatics, University Medical Center Göttingen, 37077 Göttingen, Germany.
Peter J OefnerInstitute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
Wolfram GronwaldInstitute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.ORCID 0000-0003-3646-0060

Funding

Deutsche Forschungsgemeinschaft SFB1350 grant no. 387509280
6 · The paper itself

Abstract

NMR spectroscopy is a widely used method for the detection and quantification of metabolites in complex biological fluids. However, the large number of metabolites present in a biological sample such as urine or plasma leads to considerable signal overlap in one-dimensional NMR spectra, which in turn hampers both signal identification and quantification. As a consequence, we have developed an easy to use

Indexed as

1DdeconvolutionmetabolitesNMRquantificationsignal identification

Identifiers

PMID34357346
PMCPMC8305572

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.