Evidence map›Paper›PMID 33304964›Full record

ArticleData in brief2020

Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease.

Munsoor A Hanifa, Martin Skott, Raluca G Maltesen, Bodil S Rasmussen, Søren Nielsen, Jørgen Frøkiær, Troels Ring, Reinhard Wimmer

Abstract read
In one paragraph

Article in Data in brief, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Munsoor A HanifaDepartment of Chemistry and Bioscience, Aalborg University, 9220 Aalborg, Denmark.
Martin SkottDepartment of Urology, Aarhus University Hospital, 8250 Aarhus N, Denmark.
Raluca G MaltesenDepartment of Anaesthesia and Intensive Care Medicine, Aalborg University Hospital, 9000 Aalborg, Denmark.
Bodil S RasmussenDepartment of Anaesthesia and Intensive Care Medicine, Aalborg University Hospital, 9000 Aalborg, Denmark.
Søren Nielsen2A Pharma AB, Södergatan 3, 211 34 Malmö, Sweden.
Jørgen FrøkiærDepartment of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark.
Troels RingDepartment of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark.
Reinhard WimmerDepartment of Chemistry and Bioscience, Aalborg University, 9220 Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3[1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis.

Indexed as

5/6 NephrectomyChronic kidney diseaseMetabolomicsNMRRat

Identifiers

PMID33304964
PMCPMC7708935

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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.