ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2026
An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy.
Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
purposeIn recent years, artificial intelligence-based language models have emerged as a means of rapid access to health-related information. This study aimed to evaluate the quality, reliability, understandability, and readability of ChatGPT's responses to frequently asked questions by families of children with cerebral palsy (CP).
methodsResponses generated by the free version of ChatGPT to the ten most frequently asked questions posed by families of children with CP were obtained. These responses were evaluated across four dimensions: quality, reliability, understandability, and readability. Content quality was evaluated using the DISCERN instrument. Reliability was assessed by 20 physiotherapists holding MSc or PhD degrees using a 5-point Likert scale. Understandability and actionability were assessed using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P), while readability was analyzed using the Flesch-Kincaid Grade Level (FKGL).
resultsThe median DISCERN score was 45, reflecting average content quality. The median Likert scale score across all questions was 4 out of 5, indicating reliable responses. No significant differences were observed between PhD and MSc expert raters in their Likert scale ratings. The median PEMAT-P was 69.23; however, only 40% of answers exceeded the threshold for understandability, and none met actionability threshold. All responses were written at a level exceeding high school, indicating limited readability for the general public.
conclusionChatGPT has the potential to provide accurate information to families of children with CP; however, improvements in understandability, actionability, and readability are needed to better support families. Further development is required in order to support decision-making and care processes.
Indexed as
Identifiers
42696137What 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.