Evidence map›Paper›PMID 38869668›Full record

Observational studyInternational urology and nephrology2024

Evaluating the lipid accumulation product index as a predictor for kidney stone prevalence: insights from NHANES 2007-2018.

Ji Yan, Sen Li

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Ji YanThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Sen LiSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China. lzz1840@wmu.edu.cn.ORCID http://orcid.org/0009-0009-5716-8617

Funding

General Research Project of Zhejiang Provincial Department of Education Y201942047Natural Science Foundation of Zhejiang Province LQ20H020002Wenzhou Science and Technology Program Y20180060
6 · The paper itself

Abstract

purposeThis study aimed to explore the relationship between the lipid accumulation product (LAP) index and kidney stone prevalence, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018.

methodsAn observational study was executed employing the NHANES dataset from 2007 to 2018. Analytical methods encompassed multivariate logistic regression, restricted cubic splines (RCS), subgroup analysis, and interaction tests. Predictions were made using the receiver operating characteristic (ROC) curve and the area under the curve (AUC) values.

resultsThe analysis included 9744 adults aged 20 years and older. Multivariate logistic regression identified a significant positive association between log

conclusionElevated LAP levels are positively correlated with a higher incidence of kidney stones, signifying its potential as a risk marker for this condition. Future research should investigate the mechanisms underlying this relationship. LAP can be used as a new anthropometric index to predict kidney stones, and its predictive ability is stronger than body mass index.

Indexed as

Kidney CalculiLipid Accumulation ProductNutrition SurveysAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsPrevalenceTime FactorsUnited StatesYoung AdultCross-sectionalKidney stonesLipid accumulation productLipid accumulation product indexNational Health and Nutrition Examination SurveyObesity

Identifiers

PMID38869668

What OpenQuestion holds

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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.