Evidence map›Paper›PMID 27143868›Full record

ArticleClinical interventions in aging2016

Evaluation of serum lipid profile, body mass index, and waistline in Chinese patients with type 2 diabetes mellitus.

Rongtao Cui, Zhiming Qi, Lin Zhou, Zuohong Li, Qing Li, Junyong Zhang

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Association BetweenInternational journal of general medicine · 2023
    Article
  4. The Relationship of 25(OH)DMedicina (Kaunas, Lithuania) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Comparison of Glycemic Variability in Chinese T2DM Patients Treated with Exenatide or Insulin Glargine: A Randomized Controlled Trial.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  10. Article
  11. 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

6 authors.

Rongtao CuiSurgical Research, Department of Orthopedic and Trauma Surgery, Duisburg-Essen University Hospital, Essen, Germany.
Zhiming QiDepartment of Orthopedics, Dalian Central Hospital, Dalian, People's Republic of China.
Lin ZhouDepartment of Orthopedics, Dalian Central Hospital, Dalian, People's Republic of China.
Zuohong LiDepartment of Orthopedics, Dalian Central Hospital, Dalian, People's Republic of China.
Qing LiDepartment of Orthopedics, Dalian Central Hospital, Dalian, People's Republic of China.
Junyong ZhangDepartment of Gastroenterology, Shandong Provincial Hospital, Jinan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeople with type 2 diabetes are at an increased risk of hypertension, arteriosclerosis, heart disease, and stroke. Glucose intolerance (insulin resistance) is the main feature of type 2 diabetes. Obesity leads to insulin resistance, dyslipidemia, etc. The aim of this study was to assess the biochemical parameters and measures of obesity in type 2 diabetes mellitus (T2DM).

methodsA total of 2,273 males and 6,547 females previously healthy volunteers (aged 41-95 years old) were recruited by open invitation. The basic information, including age, sex, height, weight, body mass index (BMI), waistline, hipline, menstrual cycle, and medical history, was collected by questionnaire survey and physical examination. Serum lipid profile, liver transaminase, blood glucose, postprandial blood glucose, and hemoglobin A1c were obtained after 12 hours of fasting.

resultsAccording to our results, diabetic patients presented serum lipid abnormality. Elevated triglyceride (TG) levels (≥1.7 mmol/L) were noted in 19.69% of males and 20.40% of females, and reduced high-density lipoprotein cholesterol (HDL-C) levels (≤1.15 mmol/L) were noted in 21.96% of males and 15.74% of females. The combination of elevated TG and reduced HDL-C was the most prevalent of the combined lipid abnormalities. In contrast, no differences were observed in the levels of low-density lipoprotein cholesterol and total cholesterol. Moreover, there were statistically significant differences in the levels of BMI and waistline between T2DM and non-T2DM participants. After adjustment for BMI, logistic regression analysis revealed that the subjects with BMI ≤20 kg/m(2) and >30 kg/m(2) had a significantly elevated hazard ratio of T2DM compared with participants having a BMI range of 20-30 kg/m(2) in both males and females. However, there was a significant difference between T2DM patients and non-T2DM patients in waistline (χ (2)=8.57, P<0.001) than in BMI parameter (χ (2)=6.29, P<0.001).

conclusionThe present study shows for the first time that low levels of HDL-C, high levels of TG, and abnormal levels in BMI and waistline increase the risk of type 2 T2DM in Chinese people.

Indexed as

Body Mass IndexWaist CircumferenceAgedAsian PeopleBlood GlucoseBody WeightChinaCholesterol, HDLDiabetes Mellitus, Type 2DyslipidemiasFemaleGlycated HemoglobinHumansInsulin ResistanceLogistic ModelsMaleBlood GlucoseCholesterol, HDLGlycated HemoglobinTriglyceridesbody mass indexHDL-Crisk assessmentT2DMTGwaistline

Identifiers

PMID27143868
PMCPMC4841420

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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.