Evidence map›Paper›PMID 27696108›Full record

SynthesisJournal of molecular neuroscience : MN2017

Higher Serum Uric Acid May Contribute to Cerebral Infarction in Patients with Type 2 Diabetes Mellitus: a Meta-Analysis.

Lei Du, Jianhua Ma, Xiaoning Zhang

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Journal of molecular neuroscience : MN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. SGLT2 Inhibitors and Uric Acid Homeostasis.Gout, urate, and crystal deposition disease · 2024
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Hyperuricemia, Gout, and the Brain-an Update.Current rheumatology reports · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

3 authors at 1 institution in 1 country.

Lei DuDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No 137 Liyushannan Road, Urumqi, Xinjiang, 830054, China.
Jianhua MaDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No 137 Liyushannan Road, Urumqi, Xinjiang, 830054, China.
Xiaoning ZhangDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No 137 Liyushannan Road, Urumqi, Xinjiang, 830054, China. zhangxiaoningxj@163.com.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Higher levels of serum uric acid tend to increase the diabetes-related complications. We performed a meta-analysis to investigate whether the higher serum uric acid levels were associated with cerebral infarction in type 2 diabetes patients. We searched for relevant studies in the PubMed, Embase, China National Knowledge Infrastructure, China BioMedicine, and VIP database until August 2015. All observational studies comparing serum uric acid levels in type 2 diabetic patients with and without cerebral infarction were included. We calculated the ratio of means (RoM) of serum uric acid by mean

Indexed as

AdultAgedAged, 80 and overBiomarkersCerebral InfarctionDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedObservational Studies as TopicUric AcidBiomarkersUric AcidCerebral infarctionMeta-analysisType 2 diabetesUric acid

Identifiers

PMID27696108
OpenAlexW2525149480

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.