Evidence map›Paper›PMID 37099085›Full record

SynthesisCurrent diabetes reports2023

Prevalence of Diabetes in Patients with Hyperuricemia and Gout: A Systematic Review and Meta-analysis.

Jinguo Jiang, Tingjing Zhang, Yashu Liu, Qing Chang, Yuhong Zhao, Chuanji Guo, Yang Xia

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Current diabetes reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
13.7field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 69 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

7 authors at 3 institutions in 1 country.

Jinguo JiangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Tingjing ZhangSchool of Public Health, Wannan Medical College, Wuhu, China.
Yashu LiuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Qing ChangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Yuhong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Chuanji GuoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. guocj@sj-hospital.org.
Yang XiaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. xytmu507@126.com.ORCID 0000-0001-8783-1592
China Medical University · CNShenyang Medical College · CNWannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo perform a systematic review and meta-analysis of the prevalence of diabetes in patients with hyperuricemia and gout. RECENT

findingsPrevious studies have confirmed that hyperuricemia and gout are associated with an increased risk of diabetes. A previous meta-analysis indicated that the prevalence of diabetes in patients with gout is 16%. Thirty-eight studies (458,256 patients) were included in the meta-analysis. The combined prevalence of diabetes among patients with hyperuricemia and gout were 19.10% (95% confidence interval [CI]: 17.60-20.60; I

Indexed as

Diabetes MellitusGoutHyperuricemiaDiureticsHumansPrevalenceDiureticsDiabetesGoutHyperuricemiaMeta-analysis

Identifiers

PMID37099085
OpenAlexW4367047734

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.