Evidence map›Paper›PMID 34869132›Full record

ArticleFrontiers in public health2021

Long-Term Changes of HIV/AIDS Incidence Rate in China and the U.S. Population From 1994 to 2019: A Join-Point and Age-Period-Cohort Analysis.

Yudiyang Ma, Yiran Cui, Qian Hu, Sumaira Mubarik, Donghui Yang, Yuan Jiang, Yifan Yao, Chuanhua Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 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 2 institutions in 1 country.

Yudiyang MaSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Yiran CuiSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Qian HuDepartment of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Sumaira MubarikSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Donghui YangSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Yuan JiangSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Yifan YaoSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Chuanhua YuSchool of Public Health, Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Wuhan University · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although HIV caused one of the worst epidemics since the late twentieth century, China and the U.S. has made substantial progress to control the spread of HIV/AIDS. However, the trends of HIV/AIDS incidence remain unclear in both countries. Therefore, this study aimed to highlight the long-term trends of HIV/AIDS incidence by gender in China and the U.S. population. The data were retrieved from the Global Burden of Disease (GBD) database since it would be helpful to assess the impact/role of designed policies in the control of HIV/AIDS incidence in both countries. The age-period-cohort (APC) model and join-point regression analysis were employed to estimate the age-period-cohort effect and the average annual percentage change (AAPC) on HIV incidence. Between 1994 and 2019, we observed an oscillating trend of the age-standardized incidence rate (ASIR) in China and an increasing ASIR trend in the U.S. Despite the period effect in China declined for both genders after peaked in 2004, the age effect in China grew among the young (from 15-19 to 25-29) and the old age groups (from 65-69 to 75-79). Similarly, the cohort effect increased among those born in the early (from 1924-1928 to 1934-1938) and the latest birth groups (from 1979-1983 to 2004-2009). In the case of the U.S., the age effect declined after it peaked in the 25-29 age group. People born in recent birth groups had a higher cohort effect than those born in early groups. In both countries, women were less infected by HIV than men. Therefore, besides effective strategies and awareness essential to protect the young age groups from HIV risk factors, the Chinese government should pay attention to the elderly who lacked family support and were exposed to HIV risk factors.

Indexed as

HIV InfectionsAdolescentAdultAgedChinaCohort StudiesFemaleHumansIncidenceMaleUnited StatesYoung Adultage-period-cohort effectgender disparitiesHIVincidencetrend

Identifiers

PMID34869132
PMCPMC8634360
OpenAlexW3211814979

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Registered trials

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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.