Evidence map›Paper›PMID 31772946›Full record

ArticleJournal of diabetes research2019

Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey.

Jian Song, Xue Chen, Yuhong Jiang, Jing Mi, Yuyuan Zhang, Yingying Zhao, Xuesen Wu, Huaiquan Gao

Abstract read
In one paragraph

Article in Journal of diabetes research, 2019. 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
–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

10 citing papers in PubMed, 1 synthesis or guideline 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

8 authors.

Jian SongSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.ORCID https://orcid.org/0000-0002-8073-1836
Xue ChenSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.
Yuhong JiangSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.ORCID https://orcid.org/0000-0002-7324-700X
Jing MiSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.
Yuyuan ZhangSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.ORCID https://orcid.org/0000-0003-0865-9099
Yingying ZhaoBengbu Health Board, 568 Nanhu Road, Bengbu, 233000 Anhui Province, China.ORCID https://orcid.org/0000-0003-1893-6782
Xuesen WuSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.ORCID https://orcid.org/0000-0001-8438-9380
Huaiquan GaoSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China.ORCID https://orcid.org/0000-0002-2461-0706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsLipid accumulation product (LAP) is put forward as a powerful marker showing the accumulation of visceral fat. The present study is aimed at (i) analyzing the predictive performances of LAP in the identification of impaired fasting glucose (IFG) in Chinese population and (ii) exploring the potentially interactive effect between LAP and other factors on IFG risk.

methodsAnalysis was conducted on the data obtained from a community-based cross-sectional survey in Chinese population, and all the participants enrolled were required to complete a face-to-face questionnaire survey and related health checks. Then, for the purpose of comparing predictive values between LAP and conventional obesity indices for IFG, relevant analysis was carried out on the receiver operating characteristic (ROC) curve. The assessment of interactive effects was conducted by employing the three indicators as follows: (1) RERI (the relative excess risk due to interaction), (2) AP (attributable proportion due to interaction), and (3) SI (synergy index).

resultsA total of 1777 participants (748 males and 1029 females) were involved in the final analysis. It was finally obtained that the prevalence rate of IFG was 14.1% in total, 15.5% for males and 13.1% for females, respectively. In logistic regression analysis, individuals with LAP levels in the fourth quartile had a significant higher risk of getting IFG in comparison with that of the lowest quartile (crude OR: 4.58, 95% CI: 3.01-6.98; adjusted OR: 3.81, 95% CI: 2.33-6.23). In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (

conclusionIt was concluded that LAP was significantly related to a higher risk of IFG in Chinese population, and its performance was superior to that of conventional obesity indices, especially in females. Apart from that, LAP with family history of diabetes may have an interactive effect that can impose a great influence on the development of IFG.

Indexed as

Blood GlucoseAgedBiomarkersBody Mass IndexChinaCross-Sectional StudiesFastingFemaleGlucose IntoleranceHumansLipid Accumulation ProductMaleMiddle AgedObesityPrediabetic StateRisk FactorsBiomarkersBlood Glucose

Identifiers

PMID31772946
PMCPMC6854969

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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.