Evidence map›Paper›PMID 36510700›Full record

ArticleJournal of diabetes investigation2023

Influence of hepatitis B virus on the prevalence of diabetes complications in patients with type 2 diabetes.

Xi-Yu Liu, Yan Zhou

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-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

5 citing papers in PubMed, 4 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

2 authors at 1 institution in 1 country.

Xi-Yu LiuDepartment of Endocrinology, Dongyang People's Hospital, Dongyang, China.ORCID https://orcid.org/0000-0003-2315-3221
Yan ZhouDepartment of Endocrinology, Dongyang People's Hospital, Dongyang, China.
Wenzhou Medical University · CN

Funding

the project of science and technology of Jinhua 2022-3-029
6 · The paper itself

Abstract

AIMS/

introductionDiabetes and hepatitis B are both global problems. The influence of diabetes on complications and prognosis of hepatitis B has been widely studied. However, the association between hepatitis B virus (HBV) infection and the prevalence of diabetes-related complications is less documented and is uncertain. MATERIALS AND

methodsThis was a retrospective study. We collected information from a large clinical database. A total of 1,090 Chinese inpatients with type 2 diabetes were included.

resultsThe participants were divided into two groups, including 135 patients with HBV infection and 955 patients without HBV infection. Patients with HBV infection were younger and had worse control of blood glucose than those without HBV infection. No significant difference was found in the prevalence of diabetic retinopathy, neuropathy, nephropathy, diabetic ketosis or diabetic ketoacidosis between the patients with HBV infection and the patients without HBV infection. The prevalence of macrovascular complications was 54.1% and 64.4% in diabetes patients complicated with HBV infection and without HBV infection, respectively. The P-value was <0.05. However, through the logistic regression analysis, we found HBV infection was not an independent risk factor for macrovascular complications of diabetes.

conclusionThere was no significant correlation between the prevalence of macrovascular complications, microvascular complications of diabetes, diabetic ketosis or diabetic ketoacidosis and HBV infection status.

Indexed as

Diabetes Mellitus, Type 2Diabetic KetoacidosisDiabetic RetinopathyHepatitis BHepatitis B virusHumansPrevalenceRetrospective StudiesRisk FactorsDiabetesHepatitis B virusMacrovascular complications

Identifiers

PMID36510700
PMCPMC9951573
OpenAlexW4311285567

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.