Evidence map›Paper›PMID 30145637›Full record

ArticleClinical rheumatology2018

The benchmark dose estimation of reference levels of serum urate for gout.

Xiao Chen, Zhongqiu Wang, Na Duan, Wenjing Cui, Xiaoqiang Ding, Taiyi Jin

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Xiao ChenDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China. chxwin@163.com.
Zhongqiu WangDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Na DuanDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Wenjing CuiDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Taiyi JinDepartment of Occupational Medicine, School of Public Health, Shanghai Medical College of Fudan University, 150 Dongan Road, Shanghai, 200032, China.

Funding

National Natural Science Foundation of China 81773460Natural Science Foundation of Jiangsu Province BK20161609
6 · The paper itself

Abstract

Hyperuricemia is the main risk factor for gout. Although the threshold of hyperuricemia has been recommended, the reference levels of serum urate for gout have not been clarified. In the present study, we estimated the reference levels of serum urate for gout. A study has shown the association between serum urate and incidence of gout during 5-15 years of follow-up. We calculated the reference levels of serum urate for gout based on the previous published data by using the benchmark dose (BMD) method. The subjects were divided into six groups according to serum urate levels (6.0, 6.5, 7.5, 8.5, 9.5, and 10 mg/dL). Gamma, LogLogistic, and LogProbit models were used in BMD calculation. If the benchmark response (BMR) was set at 5%, the 95% lower confidence bounds of BMD (BMDL) of serum urate for the total population were 8.09-8.14 mg/dL during 5 years of follow-up, 7.27-7.30 mg/dL during 10 years of follow-up, and 6.73-6.99 mg/dL during 15 years of follow-up. If the BMR was set at 1%, the BMDL further decreased by 1.4 mg/dL. They were 6.68-6.85 mg/dL, 5.97-6.03 mg/dL, and 5.25-5.36 mg/dL, respectively. Similar results were observed in men and women. A threshold of 7.0 mg/dL of serum urate may be not a sufficient goal for protection against gout. A stricter threshold of serum urate (< 6.0 mg/dL) should be made.

Indexed as

AdultBenchmarkingFemaleFollow-Up StudiesGoutGout SuppressantsHumansHyperuricemiaMaleReference ValuesTime FactorsUric AcidGout SuppressantsUric AcidBenchmark doseGoutReference levelSerum urateThe 95% lower confidence limit of the benchmark dose

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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.