Evidence map›Paper›PMID 31370357›Full record

ArticleInternational journal of environmental research and public health2019

The Association between Mortality-to-Incidence Ratios and Health Expenditures in Brain and Nervous System Cancers.

Tsung-Han Lee, Wen-Wei Sung, Lung Chan, Hsiang-Lin Lee, Sung-Lang Chen, Yu-Hui Huang, Aij-Lie Kwan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Tsung-Han LeeDivision of Neurosurgery, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
Wen-Wei SungInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Lung ChanSchool of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Hsiang-Lin LeeInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Sung-Lang ChenInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Yu-Hui HuangInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan. yhhuang59@hotmail.com.
Aij-Lie KwanGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan. a_lkwan@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mortality-to-incidence ratios (MIRs) are alternative parameters used to evaluate the prognosis of a disease. In addition, MIRs are associated with the ranking of health care systems and expenditures for certain types of cancer. However, a lack of association between MIRs and pancreatic cancer has been noted. Given the poor prognosis of brain and nervous system cancers, similar to pancreatic cancer, the relation of MIRs and health care disparities is worth investigating. We used the Spearman's rank correlation coefficient (CC) to analyze the correlation between the MIRs in brain and nervous system cancers and inter-country disparities, including expenditures on health and human development index. Interestingly, the MIRs in brain and nervous system cancers are associated with the human development index score (N = 157, CC = -0.394,

Indexed as

Brain NeoplasmsCross-Sectional StudiesDatabases, FactualGlobal HealthGross Domestic ProductHealthcare DisparitiesHealth ExpendituresHuman DevelopmentHumansIncidenceNervous System NeoplasmsPrognosisbrain cancerexpenditurehuman development indexincidencemortalitymortality-to-incidence rationervous system cancer

Identifiers

PMID31370357
PMCPMC6696604

What OpenQuestion holds

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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.