In one paragraphArticle in Cancers, 2024. 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, top 91% of its field
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors at 2 institutions in 1 country.
Patrick SchmidtFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0003-0170-0247 Johannes LindemeyerFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0003-4756-7947 Pranali RautFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.
Markus SchützFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.
Sven SaniternikFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.ORCID 0009-0009-3027-8322 Jannika JönssonFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.
Heike EndepolsFaculty of Medicine and University Hospital of Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0002-6166-4818 Thomas FischerFaculty of Medicine and University Hospital of Cologne, Department of Nuclear Medicine, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0001-6118-5182 Alexander QuaasFaculty of Medicine and University Hospital of Cologne, Institute of Pathology, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0002-3537-6011 Hans Anton SchlößerCenter for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0002-1304-7719 Martin ThelenCenter for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany.
Holger GrüllFaculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0002-0993-9300 University of Cologne · DEForschungszentrum Jülich · DE
Funding
Federal Ministry of Education and Research 13GW0364D
6 · The paper itselfAbstract
The DSL-6A/C1 murine pancreatic ductal adenocarcinoma (PDAC) tumor model was established in Lewis rats and characterized through a comprehensive multiparametric analysis to compare it to other preclinical tumor models and explore potential diagnostic and therapeutical targets. DSL-6A/C1 tumors were histologically analyzed to elucidate PDAC features. The tumor microenvironment was studied for immune cell prevalence. Multiparametric MRI and PET imaging were utilized to characterize tumors, and
Indexed as
cancer-associated fibroblastsDSL-6A/C1FAPImagnetic resonance imagingmurine tumor modelpancreatic cancer
Identifiers
PMID38672617
PMCPMC11049193
OpenAlexW4394877097
What OpenQuestion holds
Textmetadata
LicenceCC BY
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