Evidence map›Paper›PMID 31878112›Full record

ArticleInternational journal of environmental research and public health2019

Correlations between Mortality-to-Incidence Ratios and Health Care Disparities in Testicular Cancer.

Wen-Jung Chen, Cheng-Yu Huang, Yu-Hui Huang, Shao-Chuan Wang, Tzuo-Yi Hsieh, Sung-Lang Chen, Wen-Wei Sung, Tsung-Hsien Lee

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Wen-Jung ChenInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Cheng-Yu HuangDepartment of Urology, National Taiwan University Hospital, Taipei 10002, Taiwan.
Yu-Hui HuangInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Shao-Chuan WangInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Tzuo-Yi HsiehInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Sung-Lang ChenInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Wen-Wei SungInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Tsung-Hsien LeeInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mortality-to-incidence ratio (MIR) is associated with the clinical outcomes of different types of cancer as well as the ranking of health care systems. However, the association between MIRs for testicular cancer and health care disparities, including differences in expenditures and health system rankings, has not yet been reported. We used the Spearman's rank correlation coefficient (CC) to analyze the correlation between testicular cancer MIRs and both total expenditures on health/gross domestic product (e/GDP) and the World Health Organization's (WHO) health system rankings. After screening the data for quality and missing information, 57 countries were chosen for analysis. Generally, developed countries and regions had relatively high rates of incidence/mortality, but with a favorable MIR. Among the continents, Europe had the highest incidence rates, whereas the highest MIRs were in Africa. Globally, favorable testicular cancer MIRs were observed in countries with both a high e/GDP and a good WHO ranking (R

Indexed as

Healthcare DisparitiesHealth ExpendituresGlobal HealthGross Domestic ProductHumansIncidenceMaleTesticular NeoplasmsWorld Health Organizationincidencemortalitymortality-to-incidence ratiotesticular cancer

Identifiers

PMID31878112
PMCPMC6982062

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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.