ArticleCureus2023
Online Information Related to Symptoms of Carpal Tunnel Syndrome: A Google Search Analysis.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Comparing Online Patient Searches About Carpal Tunnel Release Approaches: A Study on Modern Search Analytics.Hand (New York, N.Y.) · 2026Article
- GPT-4 as a Source of Patient Information for Anterior Cervical Discectomy and Fusion: A Comparative Analysis Against Google Web Search.Global spine journal · 2024Review
- Article
- Patient-Directed Online Education for Carpal Tunnel Syndrome and Release: Analysis of What Patients Ask and Quality of Resources.Journal of hand surgery global online · 2023Article
- Digital Patient Education on Xanthelasma Palpebrarum: A Content Analysis.Clinics and practice · 2023Article
- Health Literacy Analytics of Accessible Patient Resources in Cardiovascular Medicine: What are Patients Wanting to Know?Kansas journal of medicine · 2023Article
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
Introduction While Google is frequently used to access internet-based health resources, the quality of online health information remains variable. Our purpose was to assess suggested resources identified through Google search features for common symptoms related to carpal tunnel syndrome (CTS). Methods Two searches were performed. The first, labeled "symptom-related," included the terms "hand numbness," "hand tingling," and "hand falling asleep." The second, labeled "CTS-specific," included "carpal tunnel syndrome," "carpal tunnel surgery," and "carpal tunnel release." A novel feature of Google's search engine is to display similar searches made by other users ("People Also Ask" snippet). For each search, the first 100 results snippets and the associated website links were recorded. A list of unique questions was compiled and classified into 1 of 3 categories using the Rothwell classification: fact, policy, or value. Questions were also classified based on the diagnoses suggested by the query. Website authorship was determined, and the corresponding links were categorized by two independent reviewers. Results The "symptom-related" searches yielded 175 unique questions and 130 unique website links, and the "CTS-specific" searches yielded a total of 243 questions and 179 unique links. For "symptom-related" searches, 65% of questions suggested a diagnosis, with CTS being suggested as a diagnosis for only 3% of questions. In contrast, CTS was suggested by 92% of questions in "CTS-specific" searches. In both searches, nearly 75% of questions were classified as "facts." Commercial websites were the most common in both searches. Conclusion Google searches for common symptoms of median nerve compression rarely yield information related to CTS.
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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.