Evidence map›Paper›PMID 30290670›Full record

ArticleMedicine2018

No associations exists between red blood cell distribution width and serum uric acid in both sexes.

Chunmei Zhang, Zhaowei Meng, Xue Li, Ming Liu, Xiaojun Ren, Mei Zhu, Qing He, Qing Zhang, Kun Song, Qiyu Jia and 1 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 11 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

11 authors at 1 institution in 1 country.

Chunmei ZhangDepartment of Nuclear Medicine.
Zhaowei MengDepartment of Nuclear Medicine.
Xue LiDepartment of Nuclear Medicine.
Ming LiuDepartment of Endocrinology and Metabolism.
Xiaojun RenDepartment of Endocrinology and Metabolism.
Mei ZhuDepartment of Endocrinology and Metabolism.
Qing HeDepartment of Endocrinology and Metabolism.
Qing ZhangDepartment of Health Management, Tianjin Medical University General Hospital, Tianjin.
Kun SongDepartment of Health Management, Tianjin Medical University General Hospital, Tianjin.
Qiyu JiaDepartment of Health Management, Tianjin Medical University General Hospital, Tianjin.
Qian ChenDepartment of Biotechnology, College of Life Science, Nanjing University, Nanjing, Jiangsu, Province, China.
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to determine whether there was a significant association between red blood cell distribution width (RDW) and uric acid (UA) in a large Chinese population.This was a cross-sectional study with an enrollment of 80,298 ostensibly healthy participants (48,971 males, 31,327 females) during the period from 2011 to 2015. In the study, database was grouped by sex and the association between RDW and UA was analyzed by quartiles of RDW.UA values between different sexes and RDW subgroups were analyzed by 2-way analysis of variance and Bonferroni t tests. Prevalence of hyperuricemia in different sexes was calculated. The relationship between risks of hyperuricemia and RDW level was analyzed by binary logistic regression with or without adjustment for age and body mass index.UA values were not all the same between different sexes and RDW subgroups. Males had significantly higher hyperuricemia prevalence than females (20.00% vs 6.48%, P < .01). In addition, hyperuricemia prevalence in males decreased slightly across RDW quartiles, but was stable in females. No significant association between hyperuricemia risk and RDW was found in both sexes according to the results of multivariate logistic regression analysis. Similarly, negative results were also observed in multivariate linear analysis when both RDW and UA were considered as continuous variable.We could not find any significant relationship between RDW and UA in both sexes.

Indexed as

Erythrocyte IndicesBody Mass IndexChinaCross-Sectional StudiesFemaleHealthy VolunteersHumansHyperuricemiaLogistic ModelsMaleMultivariate AnalysisPrevalenceRisk FactorsSex DistributionUric AcidUric Acid

Identifiers

PMID30290670
PMCPMC6200487
OpenAlexW2895051670

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.