Evidence map›Paper›PMID 35351687›Full record

ArticleBMJ open diabetes research & care2022

Temporal sequence of blood lipids and insulin resistance in perimenopausal women: the study of women's health across the nation.

Wenhao Yu, Guangshuai Zhou, Bingbing Fan, Chaonan Gao, Chunxia Li, Mengke Wei, Jiali Lv, Li He, Guoshuang Feng, Tao Zhang

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 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

10 authors at 3 institutions in 1 country.

Wenhao Yu *Department of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Guangshuai Zhou *Department of Human Resources, Zibo Central Hospital, Zibo, Shandong, China.
Bingbing FanDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Chaonan GaoDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Chunxia LiDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Mengke WeiDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Jiali LvDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Li HeDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Guoshuang FengBig Data and Engineering Research Center, Beijing Children's Hospital Capital Medical University, Beijing, China taozhang@sdu.edu.cn glxfgsh@163.com.
Tao ZhangDepartment of Biostatistics, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China taozhang@sdu.edu.cn glxfgsh@163.com.ORCID 0000-0003-1048-4443
Shandong University · CNCapital Medical University · CNCentral Hospital of Zibo · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo explore the temporal relationship between blood lipids and insulin resistance in perimenopausal women. RESEARCH DESIGN AND

methodsThe longitudinal cohort consisted of 1386 women (mean age 46.4 years at baseline) in the Study of Women's Health Across the Nation. Exploratory factor analysis was used to identify appropriate latent factors of lipids (total cholesterol (TC); triglyceride (TG); high-density lipoprotein cholesterol (HDL-C); low-density lipoprotein cholesterol (LDL-C); lipoprotein A-I (LpA-I); apolipoprotein A-I (ApoA-I); apolipoprotein B (ApoB)). Cross-lagged path analysis was used to explore the temporal sequence of blood lipids and homeostasis model assessment of insulin resistance (HOMA-IR).

resultsThree latent lipid factors were defined as: the TG factor, the cholesterol transport factor (CT), including TC, LDL-C, and ApoB; the reverse cholesterol transport factor (RCT), including HDL-C, LpA-I, and ApoA-I. The cumulative variance contribution rate of the three factors was 86.3%. The synchronous correlations between baseline TG, RCT, CT, and baseline HOMA-IR were 0.284, -0.174, and 0.112 (p<0.05 for all). After adjusting for age, race, smoking, drinking, body mass index, and follow-up years, the path coefficients of TG→HOMA-IR (0.073, p=0.004), and HOMA-IR→TG (0.057, p=0.006) suggested a bidirectional relationship between TG and HOMA-IR. The path coefficients of RCT→HOMA-IR (-0.091,

conclusionsThese findings provide evidence that TG and the reverse cholesterol transport-related lipids are related with insulin resistance bidirectionally, while there is no temporal relationship between the cholesterol transport factor and insulin resistance.

Indexed as

Apolipoprotein A-IInsulin ResistanceApolipoproteins BCholesterol, HDLCholesterol, LDLFemaleHumansLipidsMiddle AgedPerimenopauseTriglyceridesWomen's HealthApolipoprotein A-IApolipoproteins BCholesterol, HDLCholesterol, LDLLipidsTriglyceridesepidemiologyinsulin resistancelipids

Identifiers

PMID35351687
PMCPMC8966521
OpenAlexW4220688755

What OpenQuestion holds

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LicenceCC BY-NC
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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.