Evidence map›Paper›PMID 36072812›Full record

ArticleInternational journal of endocrinology2022

Correlation between Insulin Resistance and Microalbuminuria Creatinine Ratio in Postmenopausal Women.

Han Na, Rong Wang, Hai-Long Zheng, Xiao-Pan Chen, Lin-Yang Zheng

Abstract read
In one paragraph

Article in International journal of endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

5 authors.

Han NaDepartment of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China.
Rong WangDepartment of Wound Repair, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China.
Hai-Long ZhengDepartment of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China.ORCID https://orcid.org/0000-0002-1760-5503
Xiao-Pan ChenDepartment of Wound Repair, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China.ORCID https://orcid.org/0000-0001-5398-2886
Lin-Yang ZhengDepartment of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the relationship between insulin resistance and urinary microalbumin creatinine ratio in postmenopausal women. Methods: The selected research group comprised 104 postmenopausal women with type 2 diabetes who were admitted to the Department of Endocrinology in the green card center at the First Affiliated Hospital of Hainan Medical University between 2017 and 2019 inclusive. Ninety-eight postmenopausal women with the normal blood glucose metabolism hospitalized in the same period were used as the control group. The age, body mass index, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate, fasting blood glucose, fasting insulin (FINS), glycosylated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and urinary albumin-creatinine ratio (UACR) were analyzed. The insulin resistance index (HOMR-IR) was calculated, and the correlation between IR and UACR was analyzed. Results: Levels of HOMA-IR, SBP, HbA1c, HDL-C, LDL-C, TC, TG, FPG, FINS, and UACR in the study group were higher than those in the control group, and a significant difference was found between the groups ( Conclusion: There is a correlation between IR and UACR in postmenopausal women. IR is an independent risk factor for UACR.

Identifiers

PMID36072812
PMCPMC9444479

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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.