Evidence mapPaperPMID 36514151Full record

ArticleCardiovascular diabetology2022

The association between time in the glucose target range and abnormal ankle-brachial index: a cross-sectional analysis.

Yinghua Wei, Chunyan Liu, Yanyu Liu, Zhen Zhang, Zhouqin Feng, Xinyi Yang, Juan Liu, Haiyan Lei, Hui Zhou, Qiuyue Shen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2022. 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
2.0field-weighted citation impact, top 13% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. The importance of the time in target range (TTR) of glucose and blood pressure.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  8. Article
  9. Time in target range for systolic blood pressure and glucose with cardiovascular disease and all-cause mortality risks.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
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

13 authors at 4 institutions in 1 country.

Yinghua Wei *Department of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Chunyan Liu *Department of Endocrinology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
Yanyu Liu *Department of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Zhen ZhangDepartment of Endocrinology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Zhouqin FengDepartment of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Xinyi YangDepartment of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Juan LiuDepartment of Endocrinology, The affiliated Jinling Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Haiyan LeiDepartment of Endocrinology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Hui ZhouDepartment of Endocrinology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Qiuyue ShenDepartment of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Bin LuDepartment of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Ping GuDepartment of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China. ping19762000@163.com.
Jiaqing ShaoDepartment of Endocrinology, Affiliated Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China. shaojiaq@hotmail.com.
Nanjing General Hospital of Nanjing Military Command · CNSouthern Medical University · CNNanjing University · CNWuxi Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTime in range (TIR), a novel proxy measure of glucose control, is found closely related to diabetic microangiopathy and some other chronic complications, but the correlation between TIR and lower limb angiopathy has not been studied yet. Our purpose is to explore the relationship between TIR and abnormal ankle-brachial index(ABI) in type 2 diabetes.

methodsWe retrospectively collected patients' information from the database and performed cross-sectional analysis. A total of 405 type 2 diabetes patients were enrolled in this study. ABI was measured and patients were stratified into low, normal, and high groups according to ≤ 0.9, > 0.9 and < 1.3, ≥ 1.3 ABI values. All patients underwent continuous glucose monitoring(CGM), and TIR was defined as the percentage of time in which glucose was in the range of 3.9-10 mmol/L during a 24-h period. Correlations between TIR and abnormal ABI were analyzed using Spearman analysis. And logistic regression was used to explore whether TIR is an independent risk factor for abnormal ABI.

resultsThe overall prevalence of abnormal ABI was 20.2% (low 4.9% and high 15.3%). TIR was lower in patients with abnormal ABI values (P = 0.009). The prevalence of abnormal ABI decreased with increasing quartiles of TIR (P = 0.026). Abnormal ABI was negatively correlated with TIR and positively correlated with hypertension, age, diabetes duration, UREA, Scr, ACR, TAR, MBG, and M values (P < 0.05). The logistic regression revealed a significant association between TIR and abnormal ABI, while HbA1C and blood glucose variability measures had no explicit correlation with abnormal ABI. Additionally, there was a significant difference in LDL between the low and high ABI groups (P = 0.009), and in Scr between normal and low groups (P = 0.007). And there were significant differences in TIR (P = 0.003), age (P = 0.023), UREA (P = 0.006), ACR (P = 0.004), TAR (P = 0.015), and MBG (P = 0.014) between normal and high ABI groups, and in diabetes duration between both normal and low (P = 0.023) and normal and high (P = 0.006) groups.

conclusionsIn type 2 diabetes patients, abnormal ABI is associated with lower TIR, and the correlation is stronger than that with HbA1C. Therefore, the role of TIR should be emphasized in the evaluation of lower limb vascular diseases.

Indexed as

Ankle Brachial IndexDiabetes Mellitus, Type 2Blood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesGlucoseGlycated HemoglobinHumansRetrospective StudiesUreaBlood GlucoseGlucoseGlycated HemoglobinUreaAnkle-brachial indexContinuous glucose monitoringHemoglobin A1CTime in rangeType 2 diabetes

Identifiers

PMID36514151
PMCPMC9746002
OpenAlexW4311373058

What Socratic holds

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LicenceCC BY
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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.