Evidence mapPaperPMID 27149452Full record

SynthesisMedicine2016

Growing Trend of China's Contribution to Global Diabetes Research: A Systematic Literature Review.

Xiyan Zhao, Liangqing Guo, Mingze Yuan, Xinhui He, Yiqun Lin, Chengjuan Gu, Qingwei Li, Linhua Zhao, Xiaolin Tong

Abstract readSystematic Review
In one paragraph

Synthesis in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Xiyan ZhaoFrom the Department of Endocrinology (XZ, XH, YL, CG, QL, LZ, XT), Guang'anmen Hospital, China Academy of Chinese Medical Sciences; Graduate School (XZ, XH, YL, QL), Beijing University of Chinese Medicine, Beijing; Department of Endocrinology (LG), Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province; Department of Endocrinology (MY), Fangshan Traditional Medical Hospital of Beijing, Beijing, China.
Liangqing Guo
Mingze Yuan
Xinhui He
Yiqun Lin
Chengjuan Gu
Qingwei Li
Linhua Zhao
Xiaolin Tong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China, as a rapidly developing country with the largest population in the world, is playing an increasingly important role in diabetes research. There are >10,000 diabetes doctors who care for a large population of diabetic patients. The quantity and quality of research on diabetes from 3 major regions of China, including Mainland China (ML), Taiwan (TW), and Hong Kong (HK), is unknown. We aimed to analyze the contributions of each of these 3 regions to diabetes research.Articles on diabetes originating from ML, TW, and HK that were published from 2005 to 2014 were retrieved from the Web of Science. The quantity of articles, citations, article types, and articles published in high-impact journals were analyzed.A total of 9302 articles were retrieved from the 3 regions of China. There were 6775 from ML, 1993 from TW, and 534 from HK, with an increasing trend in publications from 2005 to 2014. After 2006, the number of publications from ML exceeded TW and HK. The largest total number of citations (48,296) was from ML. The highest mean citations, however, were from HK (15.90). PLoS One was the most popular journal in all 3 regions. The greatest number of RCTs, clinical trials, meta-analyses, and articles published in high-impact journals were from ML.There has been a significant increase in the number of articles published on diabetes research from China during the past 10 years. Most of the articles were published by authors in ML, and an increasing trend began in 2006. HK had the highest quality research output in terms of mean citations per article.

Indexed as

Diabetes MellitusChinaHumansJournal Impact FactorPublicationsResearch

Identifiers

PMID27149452
PMCPMC4863769

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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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 Socratic graph.