Evidence map›Paper›PMID 37513586›Full record

ArticleNutrients2023

Enhanced Predictive Value of Lipid Accumulation Product for Identifying Metabolic Syndrome in the General Population of China.

Qi Shao, Jing Li, Yiling Wu, Xing Liu, Na Wang, Yonggen Jiang, Qi Zhao, Genming Zhao

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
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 at 2 institutions in 1 country.

Qi ShaoKey Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Jing LiZhongshan Community Health Center, Shanghai 201613, China.
Yiling WuSongjiang District Center for Disease Control and Prevention, Shanghai 201600, China.
Xing LiuKey Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Na WangKey Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0003-0806-4247
Yonggen JiangSongjiang District Center for Disease Control and Prevention, Shanghai 201600, China.
Qi ZhaoNHC Key Laboratory of Health Technology Assessment, Department of Social Medicine, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0003-0140-3920
Genming ZhaoKey Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Fudan University · CNSongjiang District Central Hospital · CN

Funding

National Key Research and Development Program of China, Precision Medicine Project 2017YFC0907000
6 · The paper itself

Abstract

The purpose of this research was to evaluate the lipid accumulation product (LAP)'s accuracy and predictive value for identifying metabolic syndrome (MS) in the general Chinese population compared with other obesity indicators. Baseline survey information from a population-based cohort study carried out in Shanghai's Songjiang District was used in this research. Odds ratios (OR) and a 95% confidence interval (CI) were obtained by logistic regression. The ability of each variable to detect MS was assessed using the receiver operating characteristic curve (ROC). The optimum cut-off point for each indicator was selected using Youden's index. The survey involved 35,446 participants in total. In both genders, the prevalence of MS rose as the LAP increased (

Indexed as

Lipid Accumulation ProductMetabolic SyndromeObesityAdultAgedChinaFemaleHumansMaleMiddle AgedPredictive Value of Testslipid accumulation productmetabolic syndromeobesity indicators

Identifiers

PMID37513586
PMCPMC10383986
OpenAlexW4384692441

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.