Evidence map›Paper›PMID 32003825›Full record

ArticleJAMA network open2020

Evaluation of the Informational Content and Readability of US Lung Cancer Screening Program Websites.

Staci M Gagne, Florian J Fintelmann, Efren J Flores, Shaunagh McDermott, Dexter P Mendoza, Milena Petranovic, Melissa C Price, Justin T Stowell, Brent P Little

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.2field-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

15 citing papers in PubMed, 33 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

9 authors at 3 institutions in 1 country.

Staci M GagneDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Florian J FintelmannThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Efren J FloresThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Shaunagh McDermottThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Dexter P MendozaThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Milena PetranovicThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Melissa C PriceThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Justin T StowellDepartment of Radiology, Mayo Clinic, Jacksonville, Florida.
Brent P LittleThoracic Imaging and Intervention Division, Department of Radiology, Massachusetts General Hospital, Boston.
Massachusetts General Hospital · USBrigham and Women's Hospital · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The internet is an important source of medical information for many patients and may have a key role in the education of patients about lung cancer screening (LCS). Although most LCS programs in the United States have informational websites, the accuracy, completeness, and readability of these websites have not previously been studied. Objective: To evaluate the informational content and readability of US LCS program websites. Design, Setting, and Participants: This cross-sectional study assessed US LCS program websites identified on September 15, 2018. A standardized checklist was used to assess key informational content of each website, and text was analyzed for reading level, word count, and reading time. Links to US websites of national advocacy organizations with LCS program content were tabulated. All functional LCS program websites in Google internet search engine results using the search terms lung cancer screening, low-dose CT screening, and lung screening were included in the analysis. Main Outcomes and Measures: Radiologists used a standardized checklist to evaluate content, and readability was assessed with validated scales. Website word count, reading time, and number of links to outside LCS informational websites were assessed. Results: A total of 257 LCS websites were included in the analysis. The word count ranged from 73 to 4410 (median, 571; interquartile range, 328-909). The reading time ranged from 0.3 to 19.6 minutes (median, 2.5; interquartile range, 1.5-4.0). The median reading level of all websites was grade 10 (interquartile range, 9-11). Only 26% (n = 66) of websites had at least 1 web link to a national website with additional information on LCS. There was wide variability regarding reported eligibility age criteria, with ages 55 to 77 years most frequently cited (42% [n = 108]). Only 56% (n = 143) of websites mentioned smoking cessation. The subject of patient cost was mentioned on 75% (n = 192) of websites. Although major LCS benefits, such as detection of lung cancer, were discussed by most (93% [n = 239]) websites, less than half of the websites (45% [n = 115]) made any mention of possible risks associated with screening. Conclusions and Relevance: There appears to be marked variability in the informational content of US LCS program websites, and the reading level of most websites is above that recommended by the American Medical Association and the National Institutes of Health. Efforts to improve website content and readability may be warranted.

Indexed as

Data AccuracyInternetAdultAgedAged, 80 and overCross-Sectional StudiesDatabases, FactualEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedPatient Education as TopicUnited States

Identifiers

PMID32003825
PMCPMC7042868
OpenAlexW3003666660

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.