Evidence map›Paper›PMID 39903546›Full record

Trial reportInternational journal of surgery (London, England)2025

ChatGPT's role in alleviating anxiety in total knee arthroplasty consent process: a randomized controlled trial pilot study.

Wenyi Gan, Jianfeng Ouyang, Guorong She, Zhaowen Xue, Lingxuan Zhu, Anqi Lin, Weiming Mou, Aimin Jiang, Chang Qi, Quan Cheng and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of surgery (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Comprehensive Evaluation of AI Consent Forms in Otolaryngologic Surgery.World journal of otorhinolaryngology - head and neck surgery · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

13 authors.

Wenyi GanDepartment of Joint Surgery and Sports Medicine, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China.
Jianfeng OuyangDepartment of Joint Surgery and Sports Medicine, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China.
Guorong SheDepartment of Bone and Joint Surgery and Sports Medicine Center, The First Affiliated Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Zhaowen XueDepartment of Bone and Joint Surgery and Sports Medicine Center, The First Affiliated Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Lingxuan ZhuDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Anqi LinDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Weiming MouDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aimin JiangDepartment of Urology, Changhai hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Chang QiThe University of Hong Kong, Hong Kong, China.
Quan ChengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Hua LiDepartment of Foot and Ankle Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Xiaofei ZhengDepartment of Bone and Joint Surgery and Sports Medicine Center, The First Affiliated Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements in artificial intelligence (AI) like ChatGPT have expanded possibilities for patient education, yet its impact on perioperative anxiety in total knee arthroplasty (TKA) patients remains unexplored.

methodsIn this single-blind, randomized controlled pilot study from April to July 2023, 60 patients were randomly allocated using sealed envelopes to either ChatGPT-assisted or traditional surgeon-led informed consent groups. In the ChatGPT group, physicians used ChatGPT 4.0 to provide standardized, comprehensive responses to patient queries during the consent process, while maintaining their role in interpreting and contextualizing the information. Outcomes were measured using Hospital Anxiety and Depression Scales (HADS), Perioperative Apprehension Scale-7 (PAS-7), Visual Analogue Scales for Anxiety and Pain (VAS-A, VAS-P), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and satisfaction questionnaires.

resultsOf 55 patients completing the study, the ChatGPT group showed significantly lower anxiety scores after informed consent (HADS-A: 10.48 ± 3.84 vs 12.75 ± 4.12, P = .04, Power = .67; PAS-7: 12.44 ± 3.70 vs 14.64 ± 2.11, P = .01, Power = .85; VAS-A: 5.40 ± 1.89 vs 6.71 ± 2.27, P = .02, Power = .75) and on the fifth postoperative day (HADS-A: 8.33 ± 3.20 vs 10.71 ± 3.83, P = .01, Power = .79; VAS-A: 3.41 ± 1.58 vs 4.64 ± 1.70, P = .008, Power = .85). The ChatGPT group also reported higher satisfaction with preoperative education (4.22 ± 0.51 vs 3.43 ± 0.84, P <.001, Power = .99) and overall hospitalization experience (4.11 ± 0.65 vs 3.46 ± 0.69, P = .001, Power = .97). No significant differences were found in depression scores, knee function, or pain levels.

conclusionsChatGPT-assisted informed consent effectively reduced perioperative anxiety and improved patient satisfaction in TKA patients. While these preliminary findings are promising, larger studies are needed to validate these results and explore broader applications of AI in preoperative patient education.

Indexed as

AnxietyArthroplasty, Replacement, KneeInformed ConsentPatient Education as TopicAgedFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedPatient SatisfactionPilot ProjectsSingle-Blind Method

Identifiers

PMID39903546
PMCPMC12372728

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.