Evidence map›Paper›PMID 18431691›Full record

ArticlePathology oncology research : POR2008

A mathematical approach predicting the number of events in different tumors.

Ralf J Rieker, Josef Hoegel, Michael A Kern, Christina Steger, Sebastian Aulmann, Gunhild Mechtersheimer, Peter Schirmacher, Hendrik Blaeker

Abstract read
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In one paragraph

Article in Pathology oncology research : POR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 88% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 2 countries.

Ralf J RiekerDepartment of Pathology, University Hospital, University of Heidelberg, INF 220/221, 69120, Heidelberg, Germany.
Josef Hoegel
Michael A Kern
Christina Steger
Sebastian Aulmann
Gunhild Mechtersheimer
Peter Schirmacher
Hendrik Blaeker
University Hospital Heidelberg · DEHeidelberg University · DEUniversität Innsbruck · ATUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supported by different investigations, multi-step models for tumorigenesis have been proposed for epithelial tumors. The age specific incidence of some cancers shows an exponential rise with increasing patient age. Yet, the onset and the slope of incidence curves varies between tumor types. One simple explanation for this disparity is that the number of mutations required for transformation differs in various tissues. We used a homogeneous Poisson process to estimate the number of events (N) and the intensity or event rate (lambda) that might be needed for cancer development in various tissues (colon, prostate, oralpharynx, larynx). Estimations were performed, including 95% confidence intervals, for the male and female population. The expected number of events needed was higher in adenocarcinomas (colorectal carcinoma: N approximately 10 for females and N approximately 11.0 for males; prostatic cancer: N approximately 23) than in squamous cell carcinomas (oropharynx: N approximately 5-6 for females and N approximately 6 for males; larynx: N approximately 7 for females and N approximately 8 males). Still, alternative models fixing N to values within the 95% confidence intervals determined, showed good coincidence with epidemiological data. Although the herein applied mathematical model neglects several biologic conditions, especially a presumed acceleration of mutation rates after tumor initiation it offers a plausible theory for the given epidemiologic data and matches with molecular biologic findings in the investigated cancers.

Indexed as

MutationAdenocarcinomaAdolescentAdultAgedColorectal NeoplasmsComputer SimulationConfidence IntervalsDisease ProgressionFemaleHumansLaryngeal NeoplasmsMaleMiddle AgedModels, StatisticalNeoplasms

Identifiers

PMID18431691
OpenAlexW2049700313

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.