Evidence map›Paper›PMID 40068175›Full record

ArticleJMIR cancer2025

Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-Sectional Study.

Zachary D Zippi, Isabel O Cortopassi, Rolf A Grage, Elizabeth M Johnson, Matthew R McCann, Patricia J Mergo, Sushil K Sonavane, Justin T Stowell, Brent P Little

Abstract read
In one paragraph

Article in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zachary D ZippiFlorida International University College of Medicine, Miami, FL, United States.ORCID 0000-0003-3573-8972
Isabel O CortopassiMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0001-9695-3524
Rolf A GrageMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0009-0000-8199-119X
Elizabeth M JohnsonMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0001-7349-0619
Matthew R McCannMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0001-6556-5318
Patricia J MergoMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0003-2189-3381
Sushil K SonavaneMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0001-8823-7261
Justin T StowellMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0003-4763-7394
Brent P LittleMayo Clinic College of Medicine and Science, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, United States, 1 904-953-0853.ORCID 0000-0001-6657-8241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The noninvasive imaging examinations of mammography (MG), low-dose computed tomography (CT) for lung cancer screening (LCS), and CT colonography (CTC) play important roles in screening for the most common cancer types. Internet search data can be used to gauge public interest in screening techniques, assess common screening-related questions and concerns, and formulate public awareness strategies. Objective: This study aims to compare historical Google search volumes for MG, LCS, and CTC and to determine the most common search topics. Methods: Google Trends data were used to quantify relative Google search frequencies for these imaging screening modalities over the last 2 decades. A commercial search engine tracking product (keywordtool.io) was used to assess the content of related Google queries over the year from May 1, 2022, to April 30, 2023, and 2 authors used an iterative process to agree upon a list of thematic categories for these queries. Queries with at least 10 monthly instances were independently assigned to the most appropriate category by the 2 authors, with disagreements resolved by consensus. Results: The mean 20-year relative search volume for MG was approximately 10-fold higher than for LCS and 25-fold higher than for CTC. Search volumes for LCS have trended upward since 2011. The most common topics of MG-related searches included nearby screening locations (60,850/253,810, 24%) and inquiries about procedural discomfort (28,970/253,810, 11%). Most common LCS-related searches included CT-specific inquiries (5380/11,150, 48%) or general inquiries (1790/11,150, 16%), use of artificial intelligence or deep learning (1210/11,150, 11%), and eligibility criteria (1020/11,150, 9%). For CTC, the most common searches were CT-specific inquiries (1800/5590, 32%) or procedural details (1380/5590, 25%). Conclusions: Over the past 2 decades, Google search volumes have been significantly higher for MG than for either LCS or CTC, although search volumes for LCS have trended upward since 2011. Knowledge of public interest and queries related to imaging-based screening techniques may help guide public awareness efforts.

Indexed as

Colonography, Computed TomographicEarly Detection of CancerInternetLung NeoplasmsMammographySearch EngineBreast NeoplasmsCross-Sectional StudiesFemaleHumansTomography, X-Ray Computedanalyticsbig databreast cancercancercancer screeningcolon cancerCTCT colonographyGoogle searchGoogle Trendsimaging-basedinternetlung cancerlung cancer screeningmammographynoninvasiveonlinepatient educationpublic awarenessscreening uptakesearch data

Identifiers

PMID40068175
PMCPMC11918978

What OpenQuestion holds

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Registered trials

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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.