Evidence map›Paper›PMID 29720151›Full record

ArticleBMC public health2018

AIDS incidence trends at presentation and during follow-up among HIV-at-risk populations: a 15-year nationwide cohort study in Taiwan.

Chun-Yuan Lee, I-An Jen, Yu-Ching Lan, Yung-Feng Yen, Pei-Hung Chuang, Marcelo Chen, Yun Lee, Yi-Ming A Chen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 25 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 5 institutions in 1 country.

Chun-Yuan LeeDivision of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
I-An JenDepartment and Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.
Yu-Ching LanDepartment of Health Risk Management, China Medical University, Taichung, Taiwan.
Yung-Feng YenCenter for Infectious Disease and Cancer Research (CICAR), Kaohsiung Medical University, No.100, Tzyou 1st Road, Kaohsiung, 807, Taiwan.
Pei-Hung ChuangCenter for Prevention and Treatment of Occupational Injury and Diseases, Taipei Veterans General Hospital, Taipei, Taiwan.
Marcelo ChenDepartment of Urology, Mackay Memorial Hospital, Taipei, Taiwan.
Yun LeeCenter for Infectious Disease and Cancer Research (CICAR), Kaohsiung Medical University, No.100, Tzyou 1st Road, Kaohsiung, 807, Taiwan.
Yi-Ming A ChenCenter for Infectious Disease and Cancer Research (CICAR), Kaohsiung Medical University, No.100, Tzyou 1st Road, Kaohsiung, 807, Taiwan. arthur@kmu.edu.tw.
Kaohsiung Medical University · TWChina Medical University · TWMackay Junior College of Medicine, Nursing and Management · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

Center for Infectious Disease and Cancer Research, Kaohsiung Medical University KMUTP105-E01Kaohsiung Medical University Research Foundation 105KMUOR02Taiwan Centers for Disease Control MOHW 106-CDC-C-114-000115
6 · The paper itself

Abstract

backgroundAlthough Taiwan has implemented several important interventions for various HIV-at-risk populations to combat the HIV epidemic, little is known regarding AIDS incidence at presentation and during follow-up among the various HIV-at-risk populations in Taiwan. A better understanding of AIDS incidence trends would help improve patient care and optimize public health strategies aimed at further decreasing HIV-related morbidity and mortality.

methodsData from Taiwan Centers for Disease Control-operated Notifiable Diseases Surveillance System and Taiwan National Health Insurance Research Database (1998-2012) was divided into five cohort periods (consecutive 3-year groups). Logistic regression was employed to identify factors associated with AIDS incidence at presentation. Time-dependent Cox regression was used to identify factors associated with AIDS incidence during the follow-up period.

resultsOf 22,665 patients [mean age: 32 years; male (93.03%)], 6210 (27.4%) had AIDS incidence over 2 (1.16) [median (interquartile range)] years of follow-up. AIDS developed in ≤3 months of HIV diagnosis in 73.6% AIDS patients. AIDS incidence trends at presentation and during follow-up differed according to HIV transmission routes over the five periods: AIDS at presentation increased in the sexual contact groups (P < 0.001 for homosexuals/heterosexuals; 0.648 for bisexuals) but decreased to a nadir in period 3 and then increased slightly in period 5 (P < 0.001) in people who injected drugs (PWIDs). AIDS incidence during the follow-up period increased from period 1 to a peak in period 3 or 4, before declining slightly in period 5, in the sexual contact groups (P < 0.001 for homosexuals/heterosexuals; 0.549 for bisexuals). However, it increased throughout the five periods in PWIDs (P < 0.001). Older age, sexual contact group versus PWIDs, high versus low income level, cohort periods, and HIV diagnosis regions helped predict AIDS at presentation and during follow-up.

conclusionsDisparities in AIDS incidence trends in various HIV-at-risk populations reflect different sociodemographic variables of HIV exposure and the adopted HIV prevention strategies. This study suggests the urgent need for tailored strategies aimed at specific populations at presentation and during follow-up.

Indexed as

Acquired Immunodeficiency SyndromeAdultCohort StudiesFemaleFollow-Up StudiesHIV InfectionsHumansIncidenceMaleRisk AssessmentTaiwanAcquired immunodeficiency syndromeAntiretroviral therapyHeterosexualHIVHomosexual

Identifiers

PMID29720151
PMCPMC5932870
OpenAlexW2800363841

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.