Evidence map›Paper›PMID 36973322›Full record

ArticleScientific reports2023

Analysis of spatial-temporal dynamic distribution and related factors of tuberculosis in China from 2008 to 2018.

Mingjin Xue, Jinlin Zhong, Miao Gao, Rongling Pan, Yuqian Mo, Yudi Hu, Jinlin Du, Zhigang Huang

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In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 22 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.

Mingjin XueSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Jinlin ZhongSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Miao GaoSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Rongling PanSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Yuqian MoSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Yudi HuSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Jinlin DuSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China.
Zhigang HuangSchool of Public Health, Guangdong Medical University, Dongguan, Guangdong Province, China. hzg@gdmu.edu.cn.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through spatial-temporal scanning statistics, the spatial-temporal dynamic distribution of pulmonary tuberculosis incidence in 31 provinces and autonomous regions of China from 2008 to 2018 is obtained, and the related factors of spatial-temporal aggregation of tuberculosis in China are analyzed to provide strong scientific basis and data support for the prevention and control of pulmonary tuberculosis. This is a retrospective study, using spatial epidemiological methods to reveal the spatial-temporal clustering distribution characteristics of China's tuberculosis epidemic from 2008 to 2018, in which cases data comes from the China Center for Disease Control and prevention. Office Excel is used for general statistical description, and the single factor correlation analysis adopts χ

Indexed as

TuberculosisTuberculosis, PulmonaryChinaCluster AnalysisHumansIncidenceRetrospective StudiesSpatial AnalysisSpatio-Temporal Analysis

Identifiers

PMID36973322
PMCPMC10041483
OpenAlexW4361004675

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read15
Read underepoch 390

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.