Evidence map›Paper›PMID 36891348›Full record

ArticleFrontiers in public health2023

Time-trend analysis of tuberculosis diagnosis in Shenzhen, China between 2011 and 2020.

Chuang-Yue Hong, Fu-Lin Wang, You-Tong Zhang, Feng-Xi Tao, Le-Cai Ji, Pei-Xuan Lai, Ming-Zhen Li, Chong-Guang Yang, Wei-Guo Tan, Qi Jiang

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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.

Chuang-Yue HongDepartment of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Fu-Lin WangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
You-Tong ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
Feng-Xi TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
Le-Cai JiDepartment of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Pei-Xuan LaiDepartment of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Ming-Zhen LiDepartment of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Chong-Guang YangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Wei-Guo TanDepartment of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Qi JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the trend of tuberculosis (TB) diagnosis in the migrant city Shenzhen, China, and analyze the risk factors of diagnosis delays. Methods: Demographic and clinical information of TB patients from 2011 to 2020 in Shenzhen were extracted. A bundle of measures to enhance TB diagnosis had been implemented since late 2017. We calculated the proportions of patients who underwent a patient delay (>30 days from syndrome onset to first care-seeking) or a hospital delay (>4 days from first care-seeking to TB diagnosis). Multivariable logistic regression was used to analyze the risk factors of diagnosis delays. Results: During the study period, 43,846 patients with active pulmonary TB were diagnosed and registered in Shenzhen. On average, the bacteriological positivity rate of the patients was 54.9%, and this increased from 38.6% in 2017 to 74.2% in 2020. Overall, 30.3 and 31.1% of patients had a patient delay or a hospital delay, respectively. Molecular testing significantly increased bacteriological positivity and decreased the risk of hospital delay. People >35 years old, the unemployed, and residents had a higher risk of delays in both patient care-seeking and hospital diagnosis than younger people, workers, or migrants. Compared with passive case-finding, active case-finding significantly decreased the risk of patient delay by 5.47 (4.85-6.19) times. Conclusion: The bacteriological positivity rate of TB patients in Shenzhen increased significantly but the diagnosis delays were still serious, which may need more attention when active case-finding in risk populations and optimization of molecular testing.

Indexed as

TuberculosisTuberculosis, PulmonaryAdultChinaHumansPatient Acceptance of Health CareRisk Factorsdiagnosis delaymolecular diagnosisrisk factortime trendtuberculosis

Identifiers

PMID36891348
PMCPMC9986421

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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.