Evidence map›Paper›PMID 37444602›Full record

ArticleCancers2023

Incidence and Mortality of Malignant Brain Tumors after 20 Years of Mobile Use.

Mohy Uddin, Rozy Dhanta, Thejkiran Pitti, Diana Barsasella, Jeremiah Scholl, Wen-Shan Jian, Yu-Chuan Jack Li, Min-Huei Hsu, Shabbir Syed-Abdul

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

9 authors at 6 institutions in 5 countries.

Mohy UddinResearch Quality Management Section, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, Riyadh 11481, Saudi Arabia.ORCID 0000-0002-5565-9721
Rozy DhantaFaculty of Management Sciences and Liberal Arts, Shoolini University of Biotechnology and Management Sciences, Solan 508976, India.
Thejkiran PittiInternational Center for Health Information Technology (ICHIT), College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan.
Diana BarsasellaInternational Center for Health Information Technology (ICHIT), College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-6063-7711
Jeremiah SchollAESOP Technology, San Francisco, CA 9876, USA.
Wen-Shan JianInternational Center for Health Information Technology (ICHIT), College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-1739-4398
Yu-Chuan Jack LiGraduate Institute of Biomedical Informatics, College of Medical Sciences and Technology, Taipei Medical University, 15F., No. 172-1, Sec. 2, Keelung Rd., Da'an Dist., Taipei 110, Taiwan.ORCID 0000-0001-6497-4232
Min-Huei HsuGraduate Institute of Data Science, College of Management, Taipei Medical University, 15F., No. 172-1, Sec. 2, Keelung Rd., Da'an Dist., Taipei 110, Taiwan.ORCID 0000-0003-0383-4302
Shabbir Syed-AbdulInternational Center for Health Information Technology (ICHIT), College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-0412-767X
Taipei Medical University · TWWan Fang Hospital · TWAegis Technology (United States) · USKing Saud bin Abdulaziz University for Health Sciences · SAMinistry of Health · SCShoolini University · IN

Funding

Ministry of Education, Taiwan 108-6604-002-400Ministry of Science and Technology, Taiwan 106-2923-E-038-001-MY2, 107-2923-E-038-001 -MY2, 106-2221-E-038-005, 108-2221-E-038-013, 110-2923-E-038-001-MY3Taipei Medical University, Taiwan 106-3805-004-111, 106-3805-018-110, 108-3805-009-110Wanfang hospital, Taiwan 106TMU-WFH-01-4
6 · The paper itself

Abstract

(1) Objective: This population-based study was performed to examine the trends of incidence and deaths due to malignant neoplasm of the brain (MNB) in association with mobile phone usage for a period of 20 years (January 2000-December 2019) in Taiwan. (2) Methods: Pearson correlation, regression analysis, and joinpoint regression analysis were used to examine the trends of incidence of MNB and deaths due to MNB in association with mobile phone usage. (3) Results: The findings indicate a trend of increase in the number of mobile phone users over the study period, accompanied by a slight rise in the incidence and death rates of MNB. The compound annual growth rates further support these observations, highlighting consistent growth in mobile phone users and a corresponding increase in MNB incidences and deaths. (4) Conclusions: The results suggest a weaker association between the growing number of mobile phone users and the rising rates of MNB, and no significant correlation was observed between MNB incidences and deaths and mobile phone usage. Ultimately, it is important to acknowledge that conclusive results cannot be drawn at this stage and further investigation is required by considering various other confounding factors and potential risks to obtain more definitive findings and a clearer picture.

Indexed as

brain tumorselectromagnetic fieldepidemiologic studiesjoinpoint regressionmalignant neoplasmsmobile phone useradiofrequency

Identifiers

PMID37444602
PMCPMC10341172
OpenAlexW4383226980

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.