Evidence map›Paper›PMID 21628592›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

In vivo diagnosis of murine pancreatic intraepithelial neoplasia and early-stage pancreatic cancer by molecular imaging.

Stefan Eser, Marlena Messer, Philipp Eser, Alexander von Werder, Barbara Seidler, Monther Bajbouj, Roger Vogelmann, Alexander Meining, Johannes von Burstin, Hana Algül and 6 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 87 citations in OpenAlex.

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  9. Near-Infrared-II Molecular Dyes for Cancer Imaging and Surgery.Advanced materials (Deerfield Beach, Fla.) · 2019
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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

16 authors at 1 institution in 1 country.

Stefan EserII Medizinische Klinik, Technische Universität München, 81675 Munich, Germany.
Marlena Messer
Philipp Eser
Alexander von Werder
Barbara Seidler
Monther Bajbouj
Roger Vogelmann
Alexander Meining
Johannes von Burstin
Hana Algül
Philipp Pagel
Angelika E Schnieke
Irene Esposito
Roland M Schmid
Günter Schneider
Dieter Saur
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a fatal disease with poor patient outcome often resulting from late diagnosis in advanced stages. To date methods to diagnose early-stage PDAC are limited and in vivo detection of pancreatic intraepithelial neoplasia (PanIN), a preinvasive precursor of PDAC, is impossible. Using a cathepsin-activatable near-infrared probe in combination with flexible confocal fluorescence lasermicroscopy (CFL) in a genetically defined mouse model of PDAC we were able to detect and grade murine PanIN lesions in real time in vivo. Our diagnostic approach is highly sensitive and specific and proved superior to clinically established fluorescein-enhanced imaging. Translation of this endoscopic technique into the clinic should tremendously improve detection of pancreatic neoplasia, thus reforming management of patients at risk for PDAC.

Indexed as

AnimalsCarcinoma, Pancreatic DuctalCathepsinsFemaleFluorescent DyesGene Expression ProfilingHumansImmunohistochemistryMaleMiceMicroscopy, ConfocalMicroscopy, FluorescenceMolecular ImagingNeoplasm StagingOligonucleotide Array Sequence AnalysisPancreatic NeoplasmsCathepsinsFluorescent Dyes

Identifiers

PMID21628592
PMCPMC3116402
OpenAlexW2156103649

What OpenQuestion holds

Textmetadata
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.