Evidence map›Paper›PMID 30694203›Full record

ArticleJournal of medical Internet research2019

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.

Chenjie Xu, Yi Wang, Hongxi Yang, Jie Hou, Li Sun, Xinyu Zhang, Xinxi Cao, Yabing Hou, Lan Wang, Qiliang Cai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 86 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Chenjie Xu *School of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-8997-9299
Yi Wang *Tandon School of Engineering, New York University, New York, NY, United States.ORCID 0000-0002-4815-336X
Hongxi Yang *School of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-9545-5715
Jie HouSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.ORCID 0000-0003-3454-6274
Li SunSchool of Nursing, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-8211-6124
Xinyu ZhangSchool of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-4426-939X
Xinxi CaoSchool of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0003-0260-5823
Yabing HouSchool of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0003-1572-5584
Lan WangSchool of Nursing, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-0430-4138
Qiliang CaiThe Second Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-7147-0953
Yaogang WangSchool of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-7325-0663
Tianjin Medical University · CNNew York University · USSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer poses a serious threat to the health of Chinese people, resulting in a major challenge for public health work. Today, people can obtain relevant information from not only medical workers in hospitals, but also the internet in any place in real-time. Search behaviors can reflect a population's awareness of cancer from a completely new perspective, which could be driven by the underlying cancer epidemiology. However, such Web-retrieved data are not yet well validated or understood.

objectiveThis study aimed to explore whether a correlation exists between the incidence and mortality of cancers and normalized internet search volumes on the big data platform, Baidu. We also assessed whether the distribution of people who searched for specific types of cancer differed by gender. Finally, we determined whether there were regional disparities among people who searched the Web for cancer-related information.

methodsStandard Boolean operators were used to choose search terms for each type of cancer. Spearman's correlation analysis was used to explore correlations among monthly search index values for each cancer type and their monthly incidence and mortality rates. We conducted cointegration analysis between search index data and incidence rates to examine whether a stable equilibrium existed between them. We also conducted cointegration analysis between search index data and mortality data.

resultsThe monthly Baidu index was significantly correlated with cancer incidence rates for 26 of 28 cancers in China (lung cancer: r=.80, P<.001; liver cancer: r=.28, P=.016; stomach cancer: r=.50, P<.001; esophageal cancer: r=.50, P<.001; colorectal cancer: r=.81, P<.001; pancreatic cancer: r=.86, P<.001; breast cancer: r=.56, P<.001; brain and nervous system cancer: r=.63, P<.001; leukemia: r=.75, P<.001; Non-Hodgkin lymphoma: r=.88, P<.001; Hodgkin lymphoma: r=.91, P<.001; cervical cancer: r=.64, P<.001; prostate cancer: r=.67, P<.001; bladder cancer: r=.62, P<.001; gallbladder and biliary tract cancer: r=.88, P<.001; lip and oral cavity cancer: r=.88, P<.001; ovarian cancer: r=.58, P<.001; larynx cancer: r=.82, P<.001; kidney cancer: r=.73, P<.001; squamous cell carcinoma: r=.94, P<.001; multiple myeloma: r=.84, P<.001; thyroid cancer: r=.77, P<.001; malignant skin melanoma: r=.55, P<.001; mesothelioma: r=.79, P<.001; testicular cancer: r=.57, P<.001; basal cell carcinoma: r=.83, P<.001). The monthly Baidu index was significantly correlated with cancer mortality rates for 24 of 27 cancers. In terms of the whole population, the number of women who searched for cancer-related information has slowly risen over time. People aged 30-39 years were most likely to use search engines to retrieve cancer-related knowledge. East China had the highest Web search volumes for cancer.

conclusionsSearch behaviors indeed reflect public awareness of cancer from a different angle. Research on internet search behaviors could present an innovative and timely way to monitor and estimate cancer incidence and mortality rates, especially for cancers not included in national registries.

Indexed as

AdultChinaDatabases, FactualFemaleHumansIncidenceInternetMaleMiddle AgedNeoplasmsRegistriesSearch EngineTelemedicinecancerincidenceinternet searchingmortalityweb-based data

Identifiers

PMID30694203
PMCPMC6371071
OpenAlexW2910155579

What OpenQuestion holds

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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.