Evidence map›Paper›PMID 30636643›Full record

Observational studyLipids in health and disease2019

Characteristics of lipid profiles and lipid control in patients with diabetes in a tertiary hospital in Southwest China: an observational study based on electronic medical records.

Qingtao Hou, Chuan Yu, Sheyu Li, Yun Li, Rui Zhang, Tao Zheng, Yi Ma, Miye Wang, Na Su, Ting Wu and 8 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Lipids in health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

18 authors at 4 institutions in 1 country.

Qingtao HouWest China School of Medicine, Sichuan University, Chengdu, 610041, China.
Chuan YuDepartment of Health-Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu, 610041, China.
Sheyu LiDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yun LiDepartment of Endocrinology and Metabolism, Deyang People's Hospital, Deyang, 618000, China.
Rui ZhangHealth Informatics Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Tao ZhengHealth Informatics Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yi MaHealth Informatics Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Miye WangHealth Informatics Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Na SuDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China.
Ting WuEpidemiology Asia Pacific Unit, Merck Research Laboratories, Merck Sharp and Dohme Corp, Chengdu, 610041, China.
Zhiwen LiuDepartment of Pharmacoepidemiology, Merck Research Laboratories, Merck Sharp and Dohme Corp, Chengdu, 610041, China.
Xia ShengInformatics IT Asia Pacific Unit, Merck Research Laboratories, Merck Sharp and Dohme Corp, Beijing, 100000, China.
Nan LiHealth Informatics Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Guanjian LiuCREAT Group, Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yong HuangHealth Informatics Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Ting XuDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xin SunCREAT Group, Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China. sunx79@hotmail.com.
Haoming TianDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China. hmtian999@126.com.
Sichuan University · CNWest China Hospital of Sichuan University · CNDeyang Stomatological Hospital · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is often accompanied by dyslipidemia. Lipid control is very important in the management of diabetes. There are limited real world data on the lipid control in diabetic inpatients in southwest China.

methodsAn observational study was conducted to assess the characteristics of lipid profiles and lipid control. Diabetic patients from February 2009 to December 2013 at West China Hospital of Sichuan University were identified.

resultsA total of 56,784 inpatients were included and 85.9% of them had at least one lipid panel. The proportions of inpatients with optimal low-density lipoprotein cholesterol (LDL-C) level (< 2.59 mmol/L), optimal triglyceride (TG) level (< 1.70 mmol/L), optimal high-density lipoprotein cholesterol (HDL-C) level (men ≥1.04 mmol/L; women ≥1.30 mmol/L) and optimal non-high-density lipoprotein cholesterol (non-HDL-C) level (< 3.37 mmol/L) were 61.1, 64.6, 49.9 and 64.5%, respectively. Only 23.1% of inpatients obtained optimal levels for all the above four lipid parameters. Of diabetic inpatients with ischemic heart disease, the proportions of inpatients with optimal LDL-C level (< 1.81 mmol/L), optimal TG level (< 1.70 mmol/L), optimal HDL-C level (men ≥1.04 mmol/L; women ≥1.30 mmol/L) and optimal non-HDL-C level (< 2.59 mmol/L) were 38.0, 66.3, 48.1 and 48.7%, respectively. Of diabetic inpatients with cerebrovascular disease, the proportions were 28.3, 64.8, 49.9 and 38.1%, respectively. Older people and men were more likely to obtain optimal lipid levels. However, inpatients between 46 and 64 years were least likely to obtain optimal LDL-C levels.

conclusionsThe lipid control of diabetic inpatients in southwest China is worrisome. Individualized strategies of lipid management should be taken to bridge the gap between the recommendations of clinical guidelines and the real situation of clinical practice.

Indexed as

Electronic Health RecordsTertiary Care CentersAgedAged, 80 and overChinaDiabetes MellitusFemaleHumansInpatientsLipidsLogistic ModelsMaleMiddle AgedMultivariate AnalysisLipidsDiabetesElectronic medical recordInpatientLipids

Identifiers

PMID30636643
PMCPMC6330454
OpenAlexW2911670859

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.