Evidence map›Paper›PMID 18253128›Full record

ArticleBritish journal of cancer2008

MethCancerDB--aberrant DNA methylation in human cancer.

M Lauss, I Visne, A Weinhaeusel, K Vierlinger, C Noehammer, A Kriegner

Abstract read
In one paragraph

Article in British journal of cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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

6 authors.

M LaussAustrian Research Centers GmbH - ARC, Molecular Diagnostics, Mendelstrasse 1, Seibersdorf A-2444, Austria. martin.lauss@arcs.ac.at
I Visne
A Weinhaeusel
K Vierlinger
C Noehammer
A Kriegner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection, classification and prognosis of human cancers by analysis of CpG methylation carry huge diagnostic potential. MethCancerDB collects and annotates genes and sequences from the abundance of published methylation studies and interlinks them to all methylation-relevant bioinformatical resources. MethCancerDB starts with 4720 entries from 348 sources and is freely accessible at http://www.methcancerdb.net.

Indexed as

Databases, FactualDNA MethylationComputational BiologyCpG IslandsGenome, HumanHumansNeoplasmsPrognosis

Identifiers

PMID18253128
PMCPMC2259180

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.