Evidence map›Paper›PMID 33620297›Full record

ArticleEmerging microbes & infections2021

High population-attributable fractions of traditional risk factors for non-AIDS-defining diseases among people living with HIV in China: a cohort study.

Jiaye Liu, Yuying Hou, Liqin Sun, Lifeng Wang, Yun He, Yang Zhou, Liumei Xu, Xiaoning Liu, Fang Zhao, Lukun Zhang and 2 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Identification of Diagnostic Markers Correlated With HIVFrontiers in molecular biosciences · 2021
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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

12 authors.

Jiaye LiuNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Yuying HouMedical School of Chinese PLA, Beijing, People's Republic of China.
Liqin SunNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Lifeng WangTreatment and Research Centre for Infectious Diseases, The Fifth Medical Centre of PLA General Hospital, Beijing, People's Republic of China.
Yun HeNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Yang ZhouNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Liumei XuNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Xiaoning LiuNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Fang ZhaoNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Lukun ZhangNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Hui WangNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Fu-Sheng WangMedical School of Chinese PLA, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morbidity and mortality of non-AIDS-defining diseases (NADs) have become the increasing burden of people living with HIV (PLWH) with long-term antiretroviral therapy (ART). We aimed to quantify the contribution of modifiable risk factors to NADs. We included PLWHs starting ART at the Third People's Hospital of Shenzhen (China) from Jan 1, 2010 to Dec 31, 2017. We defined NAD outcomes of interest as cardiovascular disease (CVD), end-stage liver disease (ESLD), advanced renal disease (ARD), and non-AIDS-defining cancers (NADCs). We estimated incidence of outcomes and population-attributable fractions (PAFs) of modifiable traditional and HIV-related risk factors for each outcome. Overall, 8,301 participants (median age at study entry, 31 years) contributed 33,146 person-years of follow-up (PYFU). Incidence of CVD (362/100,000 PYFU) was the highest among outcomes, followed by that of ARD (270/100,000 PYFU), ESLD (213/100,000 PYFU), and NADC (152/100,000 PYFU). Totally, 34.14% of CVD was attributable to smoking, 7.98% to hypertension, and 6.44% to diabetes. For ESLD, 24.57% and 25.04% of it could be avoided if chronic hepatitis B and C virus infection, respectively, did not present. The leading PAFs for ARD were declined estimated glomerular filtration rate (eGFR) (39.68%) and low CD4 count (39.61%), followed by diabetes (10.19%). PAFs of hypertension, diabetes, and smoking for CVD, and declined eGFR and diabetes for ARD increased with age. The contribution of traditional risk factors for these NADs far outweighed the HIV-related risk factors. Individual-level interventions and population-level policy-making is needed to focus on these factors to prevent NADs in long-term management of HIV infection.

Indexed as

AdultCardiovascular DiseasesChinaFemaleGlomerular Filtration RateHIV InfectionsHumansIncidenceKidney Failure, ChronicMaleMiddle AgedNeoplasmsRetrospective StudiesRisk FactorsAIDSHuman immunodeficiency virusincidencenon-AIDS-defining diseasespopulation attributable fraction

Identifiers

PMID33620297
PMCPMC7971336

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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.