ArticlePain management2025
What does Dr Google tell us about tendinopathies? An Italian analysis of online content.
Article in Pain management, 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.
- Conditional Acceptance and the Optimism-Knowledge Gap: A Scoping Review of Attitudes and Perceptions of Artificial Intelligence in Healthcare in Italy.Medical sciences (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to identify the most frequently searched keywords and questions related to the Achilles, knee, shoulder, and elbow tendons in Italy. It further aimed to evaluate the credibility, readability, and content of the most visited web pages.
methodsSemrush Inc. (2008) machine learning models were used for data mining in December 2024. Credibility and readability of the most visited web pages were assessed through the QUality Evaluation Scoring Tool (QUEST) and Gulpease index, respectively. A content analysis of web pages was used to determine alignment with evidence-based literature.
resultsThe most searched question was "How to treat foot tendonitis?" (2,750 searches). Only two web pages (2.2%) were rated as providing unbiased information using the QUEST, with credibility values ranging from 4.0 (±1.6) to 11.4 (±4.0) across all searches. Gulpease indices ranged from 34.0 (±2.1) to 42.8 (±2.9) across all web pages. Notably, content analysis revealed only a small percentage of web pages that aligned to best available evidence.
conclusionCredibility, readability, and overall quality of online content on tendons were poor. Healthcare professionals may play a role in promoting accurate terminology and supporting the production of high-quality, evidence-based web page content to improve public health literacy.
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.