Evidence map›Paper›PMID 34090398›Full record

ArticleBMC public health2021

Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004-2018).

Zhenzhen Lu, Weidong Ji, Yi Yin, Xinye Jin, Lu Wang, Zhongjie Li, Ning Wang, Kai Wang, Zhihang Peng

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Epidemiological Analysis of HIV/AIDS in Kazakhstan During 2018-2020.Journal of research in health sciences · 2023
    Article
  10. Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
  11. Article
  12. 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

9 authors at 2 institutions in 1 country.

Zhenzhen Lu *Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Weidong Ji *College of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Yi YinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Xinye JinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Lu WangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhongjie LiNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ning WangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Kai WangDepartment of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China. wangkaimath@sina.com.
Zhihang PengDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. zhihangpeng@njmu.edu.cn.ORCID 0000-0003-4372-2487
Nanjing Medical University · CNXinjiang Medical University · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 81673275Innovative Research Group Project of the National Natural Science Foundation of China U1503123National Major Science and Technology Projects of China 2017ZX10201101National Major Science and Technology Projects of China 2018ZX10713001National Major Science and Technology Projects of China 2018ZX10715002
6 · The paper itself

Abstract

objectiveTo predict the trend of AIDS in specific age groups and to determine the objective population for AIDS screening, this study explored the three transmission routes and characterized each patient group using the APC model based on the whole, local, and immigrant populations in Zhejiang, China.

methodsThe data recruited in this paper was obtained from the national Comprehensive AIDS Prevention and Control Information System - Antiviral Therapy Management database and the Chinese Disease Prevention and Control Information System and the Statistical Yearbook of Zhejiang, China. An APC model was used to estimate the impact of age, period, and cohort on the incidence of AIDS, as well as to predict the AIDS incidence in specific age groups based on different sexes with different transmission routes.

resultsThe AIDS incidence peaked in males aged 20-35 years; the incidence of males was higher than that of females due to the impact of period; obvious cohort effect was observed among the immigrants. In the whole and local populations, the incidences of males in all age groups and females in both the 35-year-old group and the whole age group were predicted to increase sharply in 5 years. In the immigrant population, the AIDS incidences in both sexes in all age groups were expected to increase significantly in 5 years. Under the influence of period, the incidence of AIDS via homosexual transmission in the whole population and the local population increased and remained stable after 2015. At the same time, the incidence of AIDS transmitted by homosexual and heterosexual routes in the immigrants also showed an increasing trend.

conclusionsThe results elucidate that there are sex differences in AIDS incidence, and the incidence of AIDS through various transmission routes in all groups is predicted to exhibit an upward trend in the 5 years to come. Effective intervention strategies should be developed and implemented by the public health departments in Zhejiang to control the epidemic of AIDS.

Indexed as

Acquired Immunodeficiency SyndromeAdultChild, PreschoolChinaCohort StudiesFemaleHumansIncidenceMaleMass ScreeningAge effectAIDSCohort effectPeriod effectPrediction

Identifiers

PMID34090398
PMCPMC8180133
OpenAlexW3155410142

What OpenQuestion holds

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LicenceCC BY
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.