Evidence map›Paper›PMID 32679836›Full record

ArticleBiomedicines2020

Ectopic Expression of Hematopoietic SHIP1 in Human Colorectal Cancer.

Matthias Schaks, Kristina Allgoewer, Nina Nelson, Patrick Ehm, Asmus Heumann, Florian Ewald, Udo Schumacher, Ronald Simon, Guido Sauter, Manfred Jücker

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
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

10 authors at 1 institution in 1 country.

Matthias SchaksInstitute of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Kristina AllgoewerInstitute of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.ORCID 0000-0003-4984-6413
Nina NelsonInstitute of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Patrick EhmInstitute of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Asmus HeumannDepartment of Pathology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Florian EwaldDepartment of General-, Visceral- and Thoracic-Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.ORCID 0000-0001-5941-1750
Udo SchumacherDepartment of Anatomy and Experimental Morphology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Ronald SimonDepartment of Pathology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.ORCID 0000-0003-0158-4258
Guido SauterDepartment of Pathology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Manfred JückerInstitute of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.ORCID 0000-0003-2176-6526
Universität Hamburg · DE

Funding

Erich und Gertrud Roggenbuck-Stiftung 0424/109
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a heterogeneous disease that results from the accumulation of mutations in colonic mucosa cells. A subclass of CRC is characterized by microsatellite instability, which is thought to occur mainly through inactivation of the DNA mismatch repair genes

Indexed as

carcinomacolorectal cancerinositol 5-phosphatasemicrosatellite instabilitySHIP1

Identifiers

PMID32679836
PMCPMC7400281
OpenAlexW3042675037

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.