Evidence map›Paper›PMID 28244288›Full record

ArticleJournal of Korean medical science2017

Characteristics and Impact Factors of Renal Threshold for Glucose Excretion in Patients with Type 2 Diabetes Mellitus.

Xiao Dan Yue, Jing Yu Wang, Xin Rong Zhang, Ju Hong Yang, Chun Yan Shan, Miao Yan Zheng, Hui Zhu Ren, Yi Zhang, Shao Hua Yang, Zhen Hong Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 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

12 authors at 1 institution in 1 country.

Xiao Dan YueKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0001-7624-1204
Jing Yu WangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-8860-5623
Xin Rong ZhangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0001-5449-637X
Ju Hong YangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0003-3549-5392
Chun Yan ShanKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-0442-1983
Miao Yan ZhengKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-0775-0352
Hui Zhu RenKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-2382-4331
Yi ZhangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-5375-360X
Shao Hua YangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0003-4456-4388
Zhen Hong GuoKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-9007-7495
Bai ChangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-6808-1375
Bao Cheng ChangKey Laboratory of Hormones and Development, Ministry of Health, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital, and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China. changbc1970@126.com.ORCID http://orcid.org/0000-0002-6674-6644
Tianjin Infectious Diseases Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sodium glucose co-transporter 2 (SGLT-2) inhibitors are newly developed but promising medicine for type 2 diabetes. However, patients with a different renal threshold for glucose excretion (RT(G)) may have a different reaction to this medicine. Therefore, the objective of this study was to investigate the characteristics of RT(G) and its impact factors in patients with type 2 diabetes mellitus (T2DM). The clinical and laboratory data of 36 healthy individuals and 168 in-hospital patients with T2DM were collected and analyzed, RT(G) was calculated using blood glucose (BG) measured by dynamic BG monitoring, urinary glucose excretion (UGE) and estimated glomerular filtration rate (eGFR). The characteristics of RT(G) were investigated. The risk factors for high RT(G) were analyzed using non-conditional logistic regression analysis. Our results found that RT(G) of the T2DM group was higher than that of the healthy individuals (P < 0.05); and 22.22% from the healthy individuals group but 58.33% from the T2DM group had high RT(G). Age, duration of diabetes, body mass index (BMI), and homeostasis model assessment insulin resistance index (HOMA-IR) were independently associated with high RT(G) (P < 0.05). Further stratified analysis revealed that RT(G) in T2DM patients increased with age, duration of diabetes, and BMI. In conclusion, RT(G) is increased in patients with T2DM, especially in those with longer diabetic duration, higher BMI, and those who are older. Therefore, these patients may be more sensitive to SGLT-2 inhibitors.

Indexed as

AdultAgedBlood GlucoseBody Mass IndexCase-Control StudiesCholesterol, LDLDiabetes Mellitus, Type 2FemaleGlomerular Filtration RateGlucoseGlycated HemoglobinHumansInsulin ResistanceKidneyLogistic ModelsMaleBlood GlucoseCholesterol, LDLGlucoseGlycated Hemoglobinhemoglobin A1c protein, humanDynamic Blood Glucose MonitoringRenal Threshold for Glucose ExcretionRisk FactorType 2 Diabetes Mellitus

Identifiers

PMID28244288
PMCPMC5334160
OpenAlexW2586323361

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.