Evidence map›Paper›PMID 41089925›Full record

ArticleJournal of spine surgery (Hong Kong)2025

GPT-4 as a source of patient information for cervical disc arthroplasty: a comparative analysis against Google web search.

Paul G Mastrokostas, Leonidas E Mastrokostas, Ahmed K Emara, Mena Salman, Ian J Wellington, Elizabeth Ginalis, Jonathan Dalton, John K Houten, Amrit S Khalsa, Ahmed Saleh and 2 more

Abstract read
In one paragraph

Article in Journal of spine surgery (Hong Kong), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Paul G MastrokostasDepartment of Orthopaedic Surgery, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID https://orcid.org/0000-0002-1196-517X
Leonidas E MastrokostasDepartment of Orthopaedic Surgery, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID https://orcid.org/0009-0006-8926-3502
Ahmed K EmaraDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.ORCID https://orcid.org/0000-0002-8421-7340
Mena SalmanSchool of Medicine, University of Toledo, Toledo, OH, USA.
Ian J WellingtonDepartment of Orthopaedic Surgery, University of Connecticut, Hartford, CT, USA.ORCID https://orcid.org/0000-0002-6630-2939
Elizabeth GinalisDepartment of Neurosurgery, Rutgers University, Newark, NJ, USA.ORCID https://orcid.org/0000-0002-6097-9017
Jonathan DaltonRothman Orthopaedic Institute, Thomas Jefferson University Hospital, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-7452-2712
John K HoutenDepartment of Neurosurgery, Mount Sinai School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0002-4295-9434
Amrit S KhalsaDepartment of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA.ORCID https://orcid.org/0009-0002-5696-9761
Ahmed SalehDepartment of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.ORCID https://orcid.org/0000-0002-0210-1441
Afshin E RaziDepartment of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.ORCID https://orcid.org/0000-0002-3443-4582
Mitchell K NgDepartment of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.ORCID https://orcid.org/0000-0002-5831-055X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the increasing use of artificial intelligence (AI) chatbots like ChatGPT for online patient education, Generative Pre-trained Transformer 4 (GPT-4) has emerged as a significant tool for providing accurate health information. This study aims to compare Google and GPT-4 in terms of (I) question types, (II) initial response readability, (III) ChatGPT's ability to modify responses for increased readability, and (IV) numerical response accuracy for the top 10 most frequently asked questions (FAQs) related to cervical disc arthroplasty (CDA). Methods: "Cervical disc arthroplasty" was searched on Google and GPT-4 on December 18, 2023. The top 10 FAQs were recorded and analyzed using the Rothwell system for categorization and Results: FAQs from Google predominantly related to technical details and evaluation of surgery, paralleling GPT-4's focus, which also included indications/management. No significant differences were found in readability between GPT-4 and Google, displaying a similar Flesch-Kincaid grade level (13.06 Conclusions: GPT-4 has the potential to enhance patient education about CDA by customizing complex information for users with lower health literacy levels. This highlights GPT-4's ability to address existing gaps in online resources, benefiting those with lower health literacy.

Indexed as

cervical disc arthroplasty (CDA)GoogleGPT-4patient education

Identifiers

PMID41089925
PMCPMC12516387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.