Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 14

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Survival of glioma patients in relation to mobile phone use in Denmark, Finland and Sweden

Olsson, Ann, Bouaoun, Liacine, Auvinen, Anssi, Feychting, Maria, Johansen, Christoffer, Mathiesen, Tiit, Melin, Beatrice, Lahkola, Anna, Larjavaara, Suvi, Villegier, Anne-Sophie, Byrnes, Graham, Deltour, Isabelle, Schüz, Joachim·2019·Journal of Neuro-Oncology

Abstract

Purpose Gliomas are the most common cancer of the brain, with a poor prognosis in particular for glioblastoma. In 2014, a study suggested reduced survival in relation to latency of mobile phone use among glioblastoma patients. A joint epidemiological/experimental project to study effects of RF-EMF on tumor development and progression was established. The current analysis relates to the epidemiological part and addresses whether pre-diagnostic mobile phone use was associated with survival among glioma patients. Methods Glioma cases (n = 806) previously enrolled in a collaborative population-based case-control study in Denmark, Finland and Sweden were followed up for survival. Vital status, date of death, date of emigration, or date last known to be alive was obtained based on registry linkages with a unique personal ID in each country. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI) stratified by country. Covariates investigated were sex, age, education, histology, treatment, anatomic location and marital status. Results No indication of reduced survival among glioblastoma patients was observed for various measures of mobile phone use (ever regular use, time since start of regular use, cumulative call time overall or in the last 12 months) relative to no or non-regular use. All significant associations suggested better survival for mobile phone users. Results were similar for high-grade and low-grade gliomas. Conclusions We fou…

Overview

Integrity signals

Registry

Crossref · 10.1007/s11060-018-03019-5

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 33 references

Cited by

Metadata

Authors
Olsson, A., Bouaoun, L., Auvinen, A., Feychting, M., Johansen, C., Mathiesen, T., Melin, B., Lahkola, A., Larjavaara, S., Villegier, A.-S., Byrnes, G., Deltour, I., & Schüz, J.
Venue
Journal of Neuro-Oncology
Published
2018-11-12
Volume
141
Issue
1
Pages
139-149
ISSN
  • 0167-594X
  • 1573-7373
Cited by
14
References
33
Language
en
Licence
www.springer.com/tdm (tdm)
Funders
Agence Nationale de S?curit? Sanitaire de l?Alimentation, de l?Environnement et du Travail (2014/2 RF/002)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.