Evidence map›Paper›PMID 23199047›Full record

ArticleThe EPMA journal2010

Cancer predisposition in diabetics: risk factors considered for predictive diagnostics and targeted preventive measures.

Melanie Cebioglu, Hans H Schild, Olga Golubnitschaja

Open access · hybridAbstract read
In one paragraph

Article in The EPMA journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  9. Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
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  11. High glucose dephosphorylates serine 46 and inhibits p53 apoptotic activity.Journal of experimental & clinical cancer research : CR · 2014
    Article
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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

3 authors at 1 institution in 1 country.

Melanie CebiogluDivision of Molecular/Experimental Radiology, Department of Radiology, Rheinische Friedrich-Wilhelms-University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany.
Hans H Schild
Olga Golubnitschaja
University of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a lifelong progressive disease with high morbidity and mortality worldwide. Whereas cardiovascular complications are well-known for DM, increasing evidence indicates that diabetics are predisposed to cancer. Understanding of molecular pathomechanisms of cancer in DM is of great importance. Dysregulation of glucose/insulin homeostasis leads to increased production of Reactive Oxygen/Nitrogen Species (ROS/RNS) and consequent damage to chromosomal/mitochondrial DNA, a frequent finding in DM. Long-term accumulation of modified/damaged DNA is well-acknowledged as triggering cancer. DNA-repair is a highly energy consuming process provoking increased mitochondrial activity. Particularly dangerous is a provoked activity of damaged mitochondria leading to a "vicious circle" lowering energy supply and potentiating ROS/RNS production. Mitochondrial dysfunction may be implicated in pathomechanisms of diabetes-related cancer. High risk for infectious disorders and induced viral proto-oncogenic activity may further contribute to cancer provocation. Much attention should be focused on preventive measures in diabetic healthcare, in order to restrict severe diabetes-related complications.

Identifiers

PMID23199047
PMCPMC3405313
OpenAlexW2139593572

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.