ArticleDigital health
We asked Chat GPT to describe brain fog in chronic pain: What did we learn?
Article in Digital health. 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.
- Applying Innovative Methods to Develop Health Education Text Messages in Cancer Survivorship.Journal of cancer education : the official journal of the American Association for Cancer Education · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chat GPT is a modern artificial intelligence program: its recent introduction has created controversy in the academic world. This commentary discusses the utility of Chat GPT to explore healthcare issues such as chronic pain and associated conditions. To illustrate the potential application of brain fog, this commentary presents an example of Chat GPT using brain fog. Brain fog is a phenomenon which has been increasingly discussed in both academic and social media discourses. Further, the potential advantages and dangers of Chat GPT are described. Noted advantages include search facilitation, drafting patient information, identifying opportunities for future research, and highlighting areas with a lack of consensus. Dangers of Chat GPT include the possibility for misinformation and the reproduction of social stereotypes and assumptions. Lastly, this commentary concludes with recommendations for healthcare professionals considering use of Chat GPT. Artificial intelligence-driven technologies like Chat GPT become increasingly available and trusted in our society, so does the importance of our awareness for both benefit and potential for harm when artificial intelligence is used for non-critical information seeking and self-education.
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.