Evidence map›Paper›PMID 29880836›Full record

ArticleScientific reports2018

Times series analysis of age-specific tuberculosis at a rapid developing region in China, 2011-2016.

Minmin Zhu, Guiyuan Han, Howard Eugene Takiff, Jian Wang, Jianping Ma, Min Zhang, Shengyuan Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Article
  8. Time series of cases and treatment outcomes from tuberculosis in Sergipe, 2012-2021.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
  9. Distribution and frequency of common mutations inJournal of clinical tuberculosis and other mycobacterial diseases · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Combination of Xpert MTB/RIF and MTBDRplus for Diagnosing Tuberculosis in a Chinese District.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  15. 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

7 authors at 2 institutions in 3 countries.

Minmin ZhuShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China. zhuminmin1982@163.com.
Guiyuan HanShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Howard Eugene TakiffShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Jian WangShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Jianping MaShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Min ZhangShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Shengyuan LiuShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China. liushenglb@126.com.
Shenzhen Nanshan Center for Chronic Disease Control · CNInstitut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The city of Shenzhen has recently experienced extraordinary economic growth accompanied by a huge internal migrant influx. We investigated the local dynamics of tuberculosis (TB) epidemiology in the Nanshan District of Shenzhen to provide insights for TB control strategies for this district and other rapidly developing regions in China. We analyzed the age-specific incidence and number of TB cases in the Nanshan District from 2011 to 2016. Over all, the age-standardized incidence of TB decreased at an annual rate of 3.4%. The incidence was lowest amongst the age group 0-14 and showed no increase in this group over the six-year period (P = 0.587). The fastest decreasing incidence was among the 15-24 age group, with a yearly decrease of 13.3% (β = 0.867, P < 0.001). In contrast, the TB incidence increased in the age groups 45-54, 55-54, and especially in those aged ≥65, whose yearly increase was 13.1% (β = 1.131, P < 0.001). The peak time of TB case presentation was in April, May, and June for all age groups, except in August for the 45-54 cohort. In the rapidly developing Nanshan District, TB control policies targeted to those aged 45 years and older should be considered. The presentation of TB cases appears to peak in the spring months.

Indexed as

Urban PopulationAdolescentAdultAgedAge FactorsChildChild, PreschoolChinaHumansIncidenceInfantInfant, NewbornMiddle AgedRetrospective StudiesTime FactorsTuberculosis, Pulmonary

Identifiers

PMID29880836
PMCPMC5992177
OpenAlexW2807184367

What OpenQuestion holds

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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.