Evidence map›Paper›PMID 32948070›Full record

ArticleBiomedicines2020

Accurate Measurement of Copper Overload in an Experimental Model of Wilson Disease by Laser Ablation Inductively Coupled Plasma Mass Spectrometry.

Philipp Kim, Chengcheng Christine Zhang, Sven Thoröe-Boveleth, Sabine Weiskirchen, Nadine Therese Gaisa, Eva Miriam Buhl, Wolfgang Stremmel, Uta Merle, Ralf Weiskirchen

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

6 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Philipp KimInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH University Hospital Aachen, D-52074 Aachen, Germany.
Chengcheng Christine ZhangDepartment of Internal Medicine IV, Heidelberg University Hospital, D-69120 Heidelberg, Germany.
Sven Thoröe-BovelethInstitute for Occupational, Social and Environmental Medicine, RWTH Aachen University, D-52074 Aachen, Germany.
Sabine WeiskirchenInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH University Hospital Aachen, D-52074 Aachen, Germany.
Nadine Therese GaisaInstitute of Pathology, RWTH Aachen University, D-52074 Aachen, Germany.
Eva Miriam BuhlElectron Microscopy Facility, Institute of Pathology, RWTH Aachen University Hospital, D-52074 Aachen, Germany.
Wolfgang StremmelMedical Center Baden-Baden, D-76530 Baden-Baden, Germany.
Uta MerleDepartment of Internal Medicine IV, Heidelberg University Hospital, D-69120 Heidelberg, Germany.ORCID 0000-0003-1386-3350
Ralf WeiskirchenInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH University Hospital Aachen, D-52074 Aachen, Germany.ORCID 0000-0003-3888-0931
RWTH Aachen University · DEUniversitätsklinikum Aachen · DEHeidelberg University · DE

Funding

Deutsche Forschungsgemeinschaft SFB/TRR57, projects P13 and Q3Interdisciplinary Centre for Clinical Research within the Faculty of Medicine at the RWTH Aachen University O3-1
6 · The paper itself

Abstract

Wilson disease is a rare inherited autosomal recessive disorder. As a consequence of genetic alterations in the

Indexed as

copper overloaddiagnosticelectron microscopyLA-ICP-MSmass spectrometrymetalsquantificationrhodaninescanning electron microscopyWilson disease

Identifiers

PMID32948070
PMCPMC7555421
OpenAlexW3085541081

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.