Evidence map›Paper›PMID 38936918›Full record

ArticleIn vivo (Athens, Greece)

Correlation Between CT Density, Incidence, Mortality, and Mortality-to-Incidence Ratio in Central Nervous System Cancers: An Exploratory Analysis of Global Data.

Tsung-Hsi Yang, Ya-Chuan Chang, Chia-Ying Yu, Wen-Wei Sung, Tsung-Hsien Lee

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tsung-Hsi YangInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.
Ya-Chuan ChangSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.
Chia-Ying YuSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.
Wen-Wei Sung *Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.; flutewayne@gmail.com.
Tsung-Hsien Lee *Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.; jackth.lee@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimCancers of the central nervous system (CNS) pose a significant burden, despite their relatively low incidence compared to other types of cancers. The mortality-to-incidence ratio (MIR) is a crucial indicator of long-term survival and healthcare system performance. Computed tomography (CT) plays a crucial role in the screening, diagnosis, and monitoring of brain tumors, enabling early intervention and treatment. This study aimed to explore the relationship between CT density, CNS cancer incidence, mortality, and MIR to investigate regional variations in CT utilization and their impact on CNS cancer mortality rates. PATIENTS AND

methodsChanges in MIR, referred to as δMIR, were calculated based on data from 2012 and 2018. CT density data for the year 2013 were retrieved from the Global Health Observatory data repository. The association between variables was analyzed using Spearman's rank correlation coefficient.

resultsAnalysis of data from 107 countries revealed a positive association between CT density and both CNS cancer incidence and mortality. However, a trend was observed between CT density and MIR. These findings suggest that in countries with greater accessibility to CT imaging, CNS cancer cases may be detected earlier and lower mortality rates can be achieved.

conclusionOur research contributes to the understanding of the impact of CT imaging on the management and outcomes of CNS cancers. It informs healthcare strategies and resource allocation to improve patient care.

Indexed as

Central Nervous System NeoplasmsTomography, X-Ray ComputedFemaleGlobal HealthHumansIncidenceMalebrain cancerCentral nervous systemcomputed tomographyincidencemortality

Identifiers

PMID38936918
PMCPMC11215593

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.