Evidence map›Paper›PMID 19329819›Full record

ArticleBiostatistics (Oxford, England)2009

Frailty modeling of bimodal age-incidence curves of nasopharyngeal carcinoma in low-risk populations.

Marion Haugen, Freddie Bray, Tom Grotmol, Steinar Tretli, Odd O Aalen, Tron A Moger

Open access · bronzeAbstract read
In one paragraph

Article in Biostatistics (Oxford, England), 2009. 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
1.0field-weighted citation impact, top 21% 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, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Qualitative age interactions in breast cancer studies: mind the gap.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2009
    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 at 2 institutions in 1 country.

Marion HaugenDepartment of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, PO Box 1122 Blindern, N-0317 Oslo, Norway. marion.haugen@medisin.uio.no
Freddie Bray
Tom Grotmol
Steinar Tretli
Odd O Aalen
Tron A Moger
Cancer Registry of Norway · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of nasopharyngeal carcinoma (NPC) varies widely according to age at diagnosis, geographic location, and ethnic background. On a global scale, NPC incidence is common among specific populations primarily living in southern and eastern Asia and northern Africa, but in most areas, including almost all western countries, it remains a relatively uncommon malignancy. Specific to these low-risk populations is a general observation of possible bimodality in the observed age-incidence curves. We have developed a multiplicative frailty model that allows for the demonstrated points of inflection at ages 15-24 and 65-74. The bimodal frailty model has 2 independent compound Poisson-distributed frailties and gives a significant improvement in fit over a unimodal frailty model. Applying the model to population-based cancer registry data worldwide, 2 biologically relevant estimates are derived, namely the proportion of susceptible individuals and the number of genetic and epigenetic events required for the tumor to develop. The results are critically compared and discussed in the context of existing knowledge of the epidemiology and pathogenesis of NPC.

Indexed as

Models, StatisticalAdolescentAgedAged, 80 and overAge FactorsBiometryChildChild, PreschoolData Interpretation, StatisticalDisease SusceptibilityFemaleHumansInfantInfant, NewbornLikelihood FunctionsMale

Identifiers

PMID19329819
PMCPMC2697345
OpenAlexW2158745154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.