Evidence map›Paper›PMID 42756673›Full record

ArticleDigital health

Public attention to cardiac arrest in China: A Baidu Index analysis of online search trends and hotspot events.

Kang Zheng, Jingjing Zhao, Shuai Xue, Yang Liang, Hua Zhang, Chen Liu, Qingbian Ma, Lanfang Du

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kang ZhengEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-1351-7311
Jingjing ZhaoEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0009-0008-7938-3281
Shuai XueEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0009-0000-5115-1368
Yang LiangEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-4666-9653
Hua ZhangResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9103-4796
Chen LiuEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-2662-874X
Qingbian MaEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-0123-3522
Lanfang DuEmergency Department, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-7046-8520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze trends in public attention to cardiac arrest-related information in mainland China using the Baidu Index. Methods: This study retrieved Baidu Index data for the search keywords "cardiac arrest," "myocardial infarction," "cerebral infarction," "cardiopulmonary resuscitation (CPR)," and "automated external defibrillator (AED)" from January 1, 2019, to December 31, 2025. Temporal trends and differences in Baidu Index values among these keywords were analyzed. For the three cardiac arrest-related keywords (cardiac arrest, CPR, AED), the top 10 high-search events were identified. Event duration and corresponding real-world triggers (hotspot events) were recorded and analyzed. Results: Median (IQR) Baidu Index values were significantly higher for myocardial infarction [4384 (1382) vs 1612 (451), Z=-43.260, P<0.001] and cerebral infarction [6923 (2733) vs 1612 (451), Z=-43.529, P<0.001] than for cardiac arrest. Median (IQR) Baidu Index value for CPR was higher than for cardiac arrest [2790 (1279) vs 1612 (451), Z=-42.101, P<0.001], whereas the value for AED was lower [1368 (529) vs 1612 (451), Z=-12.878, P<0.001]. All keywords showed a declining trend from 2023 onward. Among 23 identified high-search events, 21.74% involved public figures and 69.56% were emergency cases. Public figure events had a longer duration than emergency cases [11.0 (15.0) days vs 3.5 (4.0) days, U = 15.000, Z=-2.083, P = 0.040]. Three events produced simultaneous extreme search peaks across all three cardiac arrest-related keywords, all involved public figures. Conclusion: Public attention to cardiac arrest remained lower than to myocardial infarction and cerebral infarction, while attention to AED was increasing annually. The use of search engines for health information-seeking was declining. Hotspot events, particularly those involving public figures, can significantly elevate public interest in cardiac arrest and related first-aid knowledge.

Indexed as

automated external defibrillatorBaidu Indexcardiac arrestcardiopulmonary resuscitationpublic attention

Identifiers

PMID42756673
PMCPMC13583277

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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.