Evidence map›Paper›PMID 36899409›Full record

ArticleSystematic reviews2023

How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis.

Jun-Peng Xu, Rui-Xiang Zeng, Xiao-Yi Mai, Wen-Jun Pan, Yu-Zhuo Zhang, Min-Zhou Zhang

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Article in Systematic reviews, 2023. 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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5 · Who and what money

Authors and funding

6 authors.

Jun-Peng XuThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Rui-Xiang ZengThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Xiao-Yi MaiThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Wen-Jun PanThe Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Yu-Zhuo ZhangThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Min-Zhou ZhangThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China. minzhouzhang@gzucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence suggests that HbA1c levels, a common clinical indicator of chronic glucose metabolism over the preceding 2-3 months, are independent risk factors for cardiovascular disease, including heart failure. However, conflicting evidence obscures clear cutoffs of HbA1c levels in various heart failure populations. The aim of this review is to assess the possible predictive value and optimal range of HbA1c on mortality and readmission in patients with heart failure.

methodsA systematic and comprehensive search will be performed using PubMed, Embase, CINAHL, Scopus, and the Cochrane Library databases before December 2022 to identify relevant studies. All-cause mortality is the prespecified primary endpoint. Cardiovascular death and heart failure readmission are secondary endpoints of interest. We will only include prospective and retrospective cohort studies and place no restrictions on the language, race, region, or publication period. The ROBINS-I tool will be used to assess the quality of each included research. If there were sufficient studies, we will conduct a meta-analysis with pooled relative risks and corresponding 95% confidence intervals to evaluate the possible predictive value of HbA1c for mortality and readmission. Otherwise, we will undertake a narrative synthesis. Heterogeneity and publication bias will be assessed. If heterogeneity was significant among included studies, a sensitivity analysis or subgroup analysis will be used to explore the source of heterogeneity, such as diverse types of heart failure or patients with diabetes and non-diabetes. Additionally, we will conduct meta-regression to examine the time-effect and treatment-effect modifiers on all-cause mortality compared between different quantile of HbA1c levels. Finally, a restricted cubic spline model may be used to explore the dose-response relationship between HbA1c and adverse outcomes. DISCUSSION: This planned analysis is anticipated to identify the predictive value of HbA1c for mortality and readmission in patients with heart failure. Improved understanding of different HbA1c levels and their specific effect on diverse types of heart failure or patients with diabetes and non-diabetes is expected to be figured out. Importantly, a dose-response relationship or optimal range of HbA1c will be determined to instruct clinicians and patients. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration details: CRD42021276067.

Indexed as

Diabetes MellitusHeart FailureGlycated HemoglobinHumansMeta-Analysis as TopicPatient ReadmissionProspective StudiesRetrospective StudiesReview Literature as TopicSystematic Reviews as TopicGlycated HemoglobinHbA1cHeart failureMortalityProtocolReadmissionSystematic review and meta-analysis

Identifiers

PMID36899409
PMCPMC10007851

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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 Socratic graph.