Evidence map›Paper›PMID 41458420›Full record

ArticleFrontiers in public health2025

Divergent trends of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), syphilis, and gonorrhea in China: a national age-period-cohort analysis, 2006-2020.

Huihui Tuo, Fang Feng, Ronggui Tao, Zhongyu Wang, Shuo Feng, Luqian Zhang, Yan Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huihui TuoDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Fang FengDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ronggui TaoDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zhongyu WangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shuo FengDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Luqian ZhangShaanxi Provincial Centre for Disease Prevention and Control, Xi'an, China.
Yan ZhengDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sexually transmitted diseases (STDs) remain a significant public health challenge globally and in China. This study analyzes incidence trends of three nationally notifiable STDs to assess their disease burden. Methods: Based on national surveillance data (2006-2020) from the Chinese Center for Disease Control and Prevention, this study analyzed incidence trends of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), syphilis, and gonorrhea using joinpoint regression. Age-period-cohort modeling was subsequently employed to evaluate the independent effects of age, period, and birth cohort. Rate ratios (RRs) with 95% confidence intervals (CIs) were calculated to quantify these associations. Results: Between 2006 and 2020, China observed a significant increase in the incidence of HIV/AIDS and syphilis ( Conclusion: HIV/AIDS and syphilis present growing threats in China, disproportionately affecting young adults and older populations, with increasing burden in recent birth cohorts. Although gonorrhea shows overall decline, its rise in adolescents warrants attention. A tiered prevention strategy is recommended: enhanced screening and education for HIV/syphilis in high-risk groups and regions, alongside sustained gonorrhea surveillance in key populations.

Indexed as

Acquired Immunodeficiency SyndromeGonorrheaHIV InfectionsSyphilisAdolescentAdultChildChinaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedYoung Adultage-period-cohort modelChinagonorrheaHIV/AIDSjoinpoint regression modelreported incidencesyphilis

Identifiers

PMID41458420
PMCPMC12741117

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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.