ArticleCureus2025
An Objective Analysis of the Quality and Readability of Online Information on Breast Implant Illness.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast implant illness (BII) has emerged as a significant concern for patients with breast implants, characterized by a range of symptoms, including fatigue, cognitive impairment, and joint pain. The growing recognition of BII has prompted increased scientific investigation. However, despite the rising prevalence of breast augmentation procedures, there remains a lack of consensus within the medical community regarding the diagnosis, etiology, and treatment of BII. This study aimed to evaluate the readability of online resources pertaining to BII to determine their accessibility to the general population. A systematic internet search was conducted using three major search engines (Google, Bing, and Yahoo) with the query "breast implant illness." After excluding duplicates and paid content, 28 unique websites were analyzed using five established readability indices: Flesch-Kincaid Reading Ease Score (FRES), Gunning-Fog Index, Coleman-Liau Index, Simplified Measure of Gobbledygook (SMOG), and Automated Readability Index. The results revealed a considerable range in the readability of online materials related to BII. The average FRES was 50.4, categorizing the material as "fairly difficult" to read. The Gunning-Fog Score averaged 9.3, suggesting a 9th-grade education level for comfortable comprehension. The SMOG Index indicated a reading level appropriate for individuals with at least 13 years of education. The Coleman-Liau Index suggested a reading level corresponding to a 21-year-old, while the Automated Readability Index pointed to a high school freshman level. These findings highlight a significant disparity between the readability of available information and the recommended standards set by the American Medical Association and the National Institutes of Health, which propose that patient education materials should be written at a 6th-grade reading level or lower. The study's results are consistent with research on the readability of online health information in other domains, identifying a mismatch between the reading level of the general public and the complexity of available health information. The importance of readability in online health information cannot be overstressed, particularly in the context of BII, where decisions may include elective surgery with inherent risks. The study calls for the development and implementation of standardized guidelines for creating online health materials that are accessible to a diverse audience. This includes simplifying language, using clear formatting, and incorporating visual aids to enhance comprehension.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.