Evidence map›Paper›PMID 37990237›Full record

ArticleLipids in health and disease2023

Characteristics of glucolipid metabolism and complications in novel cluster-based diabetes subgroups: a retrospective study.

Xinrong Li, Hui Chen

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. 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
0.8field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. Review
  6. Review
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 2 institutions in 1 country.

Xinrong LiDepartment of Endocrinology and Metabolism, Lanzhou University Second Hospital, Lanzhou, 730000, Gansu Province, China.
Hui ChenDepartment of Endocrinology and Metabolism, Lanzhou University Second Hospital, Lanzhou, 730000, Gansu Province, China. chenhui@lzu.edu.cn.
Lanzhou University · CNLanzhou University Second Hospital · CN

Funding

Lanzhou University Second Hospital's "Cuiying Technology Innovation" Program CY2018-ZD02The Program for Gansu Provincial Science Foundation of China 21JR7RA416
6 · The paper itself

Abstract

backgroundGlucolipid metabolism plays an important role in the occurrence and development of diabetes mellitus. However, there is limited research on the characteristics of glucolipid metabolism and complications in different subgroups of newly diagnosed diabetes. This study aimed to investigate the characteristics of glucolipid metabolism and complications in novel cluster-based diabetes subgroups and explore the contributions of different glucolipid metabolism indicators to the occurrence of complications and pancreatic function.

methodsThis retrospective study included 547 newly diagnosed type 2 diabetes patients. Age, body mass index (BMI), glycated hemoglobin (HbA

resultsTotal cholesterol (TC), triglycerides (TG), triglyceride glucose index (TyG), HbA

conclusionsThere were differences in the characteristics of glucolipid metabolism as well as complications among different subgroups of newly diagnosed type 2 diabetes. 2hCP, FCP, FINS, FPG, TyG, HbA

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceNon-alcoholic Fatty Liver DiseaseRenal Insufficiency, ChronicBlood GlucoseCholesterol, HDLC-PeptideHumansInsulinLipoproteins, HDLRetrospective StudiesTriglyceridesBlood GlucoseCholesterol, HDLC-PeptideInsulinLipoproteins, HDLTriglyceridesCluster analysisComplicationGlucolipid metabolismInsulin function

Identifiers

PMID37990237
PMCPMC10662503
OpenAlexW4388845134

What OpenQuestion holds

Textmetadata
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.