Evidence map›Paper›PMID 38745412›Full record

ArticleEpidemiology and infection2024

Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.

Ke Chen, Liang Cheng, Hao Yu, Yong Zhou, Limei Zhu, Zhongqi Li, Tenglong Li, Leonardo Martinez, Qiao Liu, Bei Wang

Abstract read
In one paragraph

Article in Epidemiology and infection, 2024. 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
  2. Article
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.

Ke ChenKey Laboratory of Environmental Medicine Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Liang ChengDepartment of Tuberculosis, Affiliated Wuxi Fifth Hospital of Jiangnan University, Wuxi, China.
Hao YuDepartment of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China.
Yong ZhouDepartment of Chronic Disease, Center for Disease Control and Prevention of Heilongjiang Province, Harbin, China.
Limei ZhuDepartment of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China.
Zhongqi LiDepartment of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China.
Tenglong LiAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID 0000-0002-5243-1254
Leonardo MartinezDepartment of Epidemiology, School of Public Health, Boston University, Boston, MA, USA.
Qiao LiuKey Laboratory of Environmental Medicine Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID 0000-0002-3572-133X
Bei WangKey Laboratory of Environmental Medicine Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial-temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ

Indexed as

Spatio-Temporal AnalysisTuberculosis, PulmonaryAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedChinaepidemiologypulmonary tuberculosisspatial autocorrelationspatial–temporal scan

Identifiers

PMID38745412
PMCPMC11149027

What OpenQuestion holds

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LicenceCC BY
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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.