Evidence map›Paper›PMID 32487108›Full record

ArticleBMC public health2020

Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005-2018.

Fan Wu, Caiyun Lai, Yan Wang, Gaoqiang Zhang, Yueqi Li, Susu Yu, Xinyue Peng, Jiani Yang, Zhisheng Wei, Wenjuan Zhang

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2020. 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
–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

7 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

10 authors.

Fan WuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Caiyun LaiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Yan WangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Gaoqiang ZhangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Yueqi LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Susu YuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Xinyue PengDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Jiani YangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Zhisheng WeiDepartment of preventive health care, Four Seasons Hospital, Haidian District, Beijing, 100097, People's Republic of China. sjqfangbaoke@163.com.
Wenjuan ZhangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China. zwj2080@126.com.ORCID http://orcid.org/0000-0003-2922-0640

Funding

Foundation for Distinguished Young Talents in Higher Education of Guangdong (CN) 87316004National Natural Science Foundation of China 81473014
6 · The paper itself

Abstract

backgroundThis study was aimed to investigate the epidemiological characteristic of pulmonary tuberculosis (PTB) in Haidian District, Beijing from 2005 to 2018 and to provide suggestions for controlling tuberculosis (TB) development.

methodsEpidemiological data about TB were obtained by the Infectious Disease Reporting System at different levels of medical institutions in Haidian District of Beijing from 2005 to 2018. The epidemiological methods combined with χ

resultsIn total, 14,449 cases of TB patients were reported in Haidian District from 2005 to 2018 and the average annual morbidity was 31.67/10,000. Of the total cases, housework and unemployed people (20.73%; 2996/14,449) accounted for the highest proportion of occupational distribution, followed by students, accounting for 17.18% (2482/14,449). 2433 patients with the age of 65 years and over accounting for 16.83% (2433/14,449); Laboratory confirmed diagnosis of TB was 26.60% and the diagnostic delays accounted for 54.96%.

conclusionsFrom 2005 to 2018, TB incidence was falling gradually in Haidian District. However, particular attention should be paid to the elderly and student groups, and the policy publicity and education should be strengthened to reduce the diagnosis delay of TB.

Indexed as

Epidemiologic FactorsAdolescentAdultAgedAged, 80 and overAge FactorsBeijingChildChild, PreschoolFemaleForecastingHumansIncidenceInfantInfant, NewbornMaleBeijingEpidemiologyEtiological diagnosisTuberculosis

Identifiers

PMID32487108
PMCPMC7266129

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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.