Evidence map›Paper›PMID 35567625›Full record

ArticleJournal of cancer research and clinical oncology2022

Trends of cancer mortality in Xi'an City, China: 2005-2020.

Ning Chen, Xiao-Yu Zhang, Lin-Lin Ma, Guo-Dong Zhao, Yu-Xiang Yan

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Ning Chen *Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Xiao-Yu Zhang *Department of Chronic Disease Management, Xi'an Center for Disease Control and Prevention, Xi'an, 710054, China.
Lin-Lin MaDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Guo-Dong ZhaoDepartment of Chronic Disease Management, Xi'an Center for Disease Control and Prevention, Xi'an, 710054, China.
Yu-Xiang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China. yanyxepi@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-2234-1298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDescribe and predict the malignant tumor deaths in Xi'an so as to provide evidence for the government to formulate the prevention and treatment plans.

methodsOverall malignant tumor death in Xi'an in the past 16 years was described. The multi-decrease life table was used to calculate cumulative mortality risk by cause and life expectancy reduction years by cause of malignant tumors in 2020. The join point regression models were used to analyze the change trend of standard mortality of malignant tumors in Xi'an from 2005 to 2020. The appropriate gray models were selected to predict the death of malignant tumors in Xi'an in the next decade.

resultsThe mortality of total malignant tumors in Xi'an showed that men are higher than women and the elderly are higher than other groups. As for 2020, lung cancer had the highest risk of death for both men and women, while leukemia had the highest life expectancy reduction years by cause. From 2005 to 2020, standardized mortality of majority malignant tumors showed downward trends, which were particularly obvious in recent years. The prediction results of several major malignant tumors showed that in the next decade, the mortality of most malignant tumors had downward trends, but combined with the increase of population in the future, the number of malignant tumor deaths in Xi'an will continue to increase.

conclusionsMalignant tumors in Xi'an have decreasing mortality trends in recent years, and effective measures to prevent and treat tumors should be strengthened in the future.

Indexed as

NeoplasmsAgedChinaFemaleHumansMaleMalignant tumorMulti-decrease life tablePredictionTrendXi'an City

Identifiers

PMID35567625
PMCPMC11800849

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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.