Evidence map›Paper›PMID 29308336›Full record

ArticleCureus2017

Comparison of Online Dementia Information in Chinese and in English Languages.

John T Tsiang, Benjamin K Woo

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Bridging ADRD Gaps: Insights from Community-led Listening Sessions Among the Korean American Immigrants in New York.Progress in community health partnerships : research, education, and action · 2025
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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

2 authors at 1 institution in 1 country.

John T TsiangMedicine, Case Western Reserve University School of Medicine.
Benjamin K WooUCLA.
Case Western Reserve University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction There is a deficit of avenues for obtaining dementia information in the Asian American community. This study aims to compare the content and quality differences between websites providing information on dementia as found by a Google search conducted both in simplified Chinese characters and in English. Methods A Google search was performed for the phrase "dementia" in simplified Chinese characters and in English. The resultant websites were categorized by whether they were commercial in nature, the type of website, and whether the website provided an explanation of dementia signs and symptoms. The quality of the websites was assessed via readability and the Health on the Net Code of Conduct (HONcode). Chi-squared analyses were performed to establish differences between the English and simplified Chinese results. Results The simplified Chinese search websites were more likely to be commercial (p=0.045) and were more likely to not meet HONcode standards (p=0.008). No statistical significance was observed between the types of websites (p=0.127), the prevalence of signs and symptom explanations (p=0.073), and the readability of the website (p=0.151). Conclusion The quality of websites obtained from the simplified Chinese character Google search was lower than those obtained from searches using the English language. Given the limited sources of language and culturally appropriate information on dementia, improvement of Internet resources may help to improve health outcomes of dementia patients in the Asian American population.

Indexed as

alzheimer's diseaseasian americanschinese americanschinese languagedementiagooglehealth informationinternetpreventionsocial media

Identifiers

PMID29308336
PMCPMC5749939
OpenAlexW2766447227

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.