Evidence map›Paper›PMID 37316793›Full record

ArticleBMC infectious diseases2023

Disease burden of tuberculosis and post-tuberculosis in Inner Mongolia, China, 2016-2018 - based on the disease burden of post-TB caused by COPD.

Caimei Jing, Huiqiu Zheng, Xuemei Wang, Yanling Wang, Yifan Zhao, Sijia Liu, Jing Zhao, Qianqian Du

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 1 institution in 1 country.

Caimei Jing *Department of Health Statistics, School of Public Health, Inner Mongolia Medical University, Jinshan Development District, Hohhot, Inner Mongolia, 010110, China.
Huiqiu Zheng *Department of Child and Adolescent Health and Health Education, School of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, 010110, China.
Xuemei WangCenter for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Jinshan Development District, Hohhot, Inner Mongolia, 010110, China. wangxm_zsu@163.com.ORCID http://orcid.org/0000-0003-0298-9695
Yanling WangDepartment of Child and Adolescent Health and Health Education, School of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, 010110, China.
Yifan ZhaoCenter for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Jinshan Development District, Hohhot, Inner Mongolia, 010110, China.
Sijia LiuDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Jinshan Development District, Hohhot, Inner Mongolia, 010110, China.
Jing ZhaoDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Jinshan Development District, Hohhot, Inner Mongolia, 010110, China.
Qianqian DuDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Jinshan Development District, Hohhot, Inner Mongolia, 010110, China.
Inner Mongolia Medical University · CN

Funding

Nation Natural Science Foundation of China 81960603
6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains one of the most serious infectious diseases worldwide. China has the second highest TB burden globally, but existing studies have mostly neglected the post-tuberculosis (post-TB) disease burden. This study estimated the disease burden of TB and post-TB in Inner Mongolia, China, from 2016 to 2018.

methodsPopulation data were collected from TB Information Management System. Post-TB disease burden was defined as the burden caused by Chronic Obstructive Pulmonary Disease (COPD) occurring after patients with TB were cured. To estimate the incidence rate of TB, standardized mortality rate, life expectancy, and cause eliminated life expectancy, using descriptive epidemiological, abridged life table and cause eliminated life table. On this basis, the Disability-Adjusted Life Years (DALY), Years Lived with Disability (YLD) and Years of Life Lost (YLL) due to TB were further be estimated. The data were analyzed using Excel 2016 and SPSS 26.0. Joinpoint regression models were used to estimate the time and age trends of the disease burden of TB and post-TB.

resultsThe TB incidence in 2016, 2017, and 2018 was 41.65, 44.30, and 55.63/100,000, respectively. The standardized mortality in the same period was 0.58, 0.65, and 1.08/100,000, respectively. From 2016 to 2018, the total DALYs of TB and post-TB were 5923.33, 6258.03, and 8194.38 person-years, and the DALYs of post-TB from 2016 to 2018 were 1555.89, 1663.33, and 2042.43 person-years. Joinpoint regression showed that the DALYs rate increased yearly from 2016 to 2018, and the rate of males was higher than that of females. TB and post-TB DALYs rates showed a rising tendency with increasing age (AAPC values were 149.6% and 157.0%, respectively, P < 0.05), which was higher in the working-age population and elderly.

conclusionThe disease burden of TB and post-TB was heavy and increased year by year in Inner Mongolia from 2016 to 2018. Compared with the youngster and females, working-age population and the elderly and males had a higher disease burden. Policymakers should be paid more attention to the patients' sustained lung injury after TB cured. There is a pressing need to identify more effective measures for reducing the burden of TB and post-TB of people, to improve their health and well-being.

Indexed as

Pulmonary Disease, Chronic ObstructiveTuberculosisAgedChinaCost of IllnessFemaleHumansLife ExpectancyMaleBurden of diseaseInner MongoliaPost-tuberculosisTuberculosis

Identifiers

PMID37316793
PMCPMC10265833
OpenAlexW4380683450

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.