Evidence map›Paper›PMID 38707056›Full record

ArticleCureus2024

Tracking Chinese Online Activity and Interest in Osteoporosis Using the Baidu Index.

Jianjun Wu, Yugeng Zheng, Xianchan Lin, Shi Lin, Hongxing Huang

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Jianjun WuThird School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, CHN.
Yugeng ZhengDepartment of Pediatric Orthopedics, Foshan Hospital of Traditional Chinese Medicine, Foshan, CHN.
Xianchan LinThird School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, CHN.
Shi LinSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, CHN.
Hongxing HuangOsteoporosis Research Institute, Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction China's most widely used online search engine, Baidu (Baidu, Inc., Beijing, China), has developed a data collection and analysis tool called the Baidu Index for tracking Internet search trends. The purpose of this study was to examine the utility of the Baidu Index in tracking online osteoporosis information-seeking behavior and comprehending the traits and concerns of the Chinese population. Methods We used the search term "osteoporosis" for the Baidu Index for the years 2018-2022. The geographic and demographic distributions, search volumes, and demand maps were recorded. Results The popularity of the search term "osteoporosis" has increased over time. The search was mostly conducted among women aged 20-39 in northern China. The demand map revealed that the most significant concerns are related to the diagnosis, treatment, and etiology of osteoporosis. Conclusion The Baidu Index is a valuable tool for tracking online health information-seeking behavior among Chinese netizens. Online search trend data appears to reflect the geographic and demographic aspects of osteoporosis to a certain extent.

Indexed as

baidubaidu indexinternetosteoporosissearch behavior

Identifiers

PMID38707056
PMCPMC11070066

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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.