Evidence map›Paper›PMID 38026099›Full record

ArticleChina CDC weekly2023

Trends and Patterns of Respiratory Tuberculosis Mortality in Rural and Urban - China, 1987-2021.

Yihao Zhao, Binbin Su, Yaohua Tian, Ruitai Shao

Abstract read
In one paragraph

Article in China CDC weekly, 2023. 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.

  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

4 authors.

Yihao ZhaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Binbin SuDepartment of Health Economics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Yaohua TianMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China.
Ruitai ShaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: In China, an estimated 780,000 individuals contract tuberculosis (TB) every year. With TB ranked as the second most prevalent disease in terms of the morbidity and mortality rates for legally infectious diseases, it imparts a substantial disease burden on families and society. What is added by this report?: This study identifies specific periods and cohort effects related to trends in respiratory TB mortality in both rural and urban regions of China. The mortality rates have been found to decrease at an annual rate of 5.5% in urban regions and 6.6% in rural ones, with a more marked decline evident in rural areas. These findings represent a significant milestone in the prevention and treatment of respiratory TB in China, especially in its rural locales. What are the implications for public health practice?: This research contributes to policymakers' comprehension, assisting in the early formulation of cogent optimization policies, thereby further supporting the United Nations Sustainable Development Goals (SDGs) and the Endeavor to End Respiratory TB Strategy. It is recommended that policymakers prioritize key groups such as children, young adults aged 20-30 in rural areas, and older men (60 years and over) in urban areas when developing these astute optimization policies.

Indexed as

MortalityPatternsRespiratory TuberculosisTrends

Identifiers

PMID38026099
PMCPMC10646166

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.