Evidence map›Paper›PMID 29880609›Full record

ArticleHaematologica2018

Loss of DEP-1 (Ptprj) promotes myeloproliferative disease in

Anne Kresinsky, Reinhard Bauer, Tina M Schnöder, Tobias Berg, Daria Meyer, Volker Ast, Rainer König, Hubert Serve, Florian H Heidel, Frank-D Böhmer and 1 more

Open access · goldAbstract readLetter
In one paragraph

Article in Haematologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Article
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

11 authors at 3 institutions in 1 country.

Anne KresinskyInstitute of Molecular Cell Biology, Center for Molecular Biomedicine (CMB), Jena University Hospital.
Reinhard BauerInstitute of Molecular Cell Biology, Center for Molecular Biomedicine (CMB), Jena University Hospital.
Tina M SchnöderInnere Medizin II, Hämatologie und Onkologie, Jena University Hospital.
Tobias BergDepartment of Medicine II, Hematology/Oncology, Goethe University, Frankfurt.
Daria MeyerNetwork modelling, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.
Volker AstNetwork modelling, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.
Rainer KönigNetwork modelling, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.
Hubert ServeDepartment of Medicine II, Hematology/Oncology, Goethe University, Frankfurt.
Florian H HeidelInnere Medizin II, Hämatologie und Onkologie, Jena University Hospital.
Frank-D BöhmerInstitute of Molecular Cell Biology, Center for Molecular Biomedicine (CMB), Jena University Hospital.
Jörg P MüllerInstitute of Molecular Cell Biology, Center for Molecular Biomedicine (CMB), Jena University Hospital joerg.mueller2@med.uni-jena.de.
Jena University Hospital · DELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Leukemia, Myeloid, AcuteAnimalsfms-Like Tyrosine Kinase 3MiceMice, KnockoutReceptor-Like Protein Tyrosine Phosphatases, Class 3Flt3 protein, mousefms-Like Tyrosine Kinase 3Ptprj protein, mouseReceptor-Like Protein Tyrosine Phosphatases, Class 3

Identifiers

PMID29880609
PMCPMC6278956
OpenAlexW2805886109

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.