Evidence map›Paper›PMID 30498873›Full record

ArticleClinical rheumatology2019

Association between hyperuricemia and nontraditional adiposity indices.

Xing Zhen Liu, Hui Hua Li, Shan Huang, Dong Bao Zhao

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 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

4 authors at 2 institutions in 1 country.

Xing Zhen LiuArmy Convalescence Area, Hangzhou Sanatorium of People's Liberation Army, Hangzhou, China.
Hui Hua LiDepartment of Endocrinology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China.
Shan HuangDepartment of Endocrinology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China. HS1147@shtrhospital.com.
Dong Bao ZhaoDepartment of Rheumatology, Changhai Hospital, Naval Military Medical University (The Second Military Medical University), Shanghai, China. dongbaozhao@163.com.
Shanghai Jiao Tong University · CNSecond Military Medical University · CN

Funding

National Natural Science Foundation of China 81471607National Natural Science Foundation of China 81671595
6 · The paper itself

Abstract

backgroundThe association between several novel adiposity indices and hyperuricemia is inconclusive. Therefore, we aimed to investigate this association so as to provide theoretical support for the management of hyperuricemia in overweight/obese individuals.

methodsA cross-sectional study was carried out among 174,698 adults. The values of body adiposity index (BAI), conicity index (CI), a body shape index (ABSI), body roundness index (BRI), visceral adiposity index (VAI), lipid accumulation product (LAP) index, and cardiometabolic index (CMI) were divided into four quartiles, and multivariate logistic analysis was used to analyze the association between them and hyperuricemia. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the power of predictions for hyperuricemia.

resultsAfter adjusting for confounding variables, LAP and CMI exhibited stronger association with hyperuricemia than other indices. The odd ratio (OR) for hyperuricemia in the highest quartile of the LAP and CMI was 2.049 (CI 95% = 1.824-2.302) and 4.332(CI 95% = 3.938-4.765). The AUC value of LAP was 0.632 (95% CI = 0.626-0.637), p < 0.001; and the AUC value of CMI was 0.687 (95% CI = 0.682-0.692), p < 0.001. The optimal cutoff values of LAP and CMI were 26.21 and 0.485, respectively.

conclusionsLAP and CMI, combination of WC and lipid parameters and reliable visceral adiposity indices, were strongly associated with hyperuricemia than other indices. So they could be potential monitoring indicators for hyperuricemia management in overweight/obese individuals.

Indexed as

Body Mass IndexAdiposityAdultCross-Sectional StudiesFemaleHumansHyperuricemiaMaleMiddle AgedObesityRisk FactorsWaist CircumferenceAdiposity indicesHyperuricemiaObesity

Identifiers

PMID30498873
OpenAlexW2902269522

What OpenQuestion holds

Textmetadata
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.