Evidence map›Paper›PMID 40636362›Full record

ArticleFrontiers in medicine2025

Comparison of preoperative education by artificial intelligence versus traditional physicians in perioperative management of urolithiasis surgery: a prospective single-blind randomized controlled trial conducted in China.

Hui Zhang, Xianjing Wang, Hongyan Luo, Weiyong Zeng, Xuwei Hong, Jiasheng Feng, Guangming Lu, Yongquan Su, Wenting Tong, Yang Xiao

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. Review
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

10 authors.

Hui Zhang *Department of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.
Xianjing Wang *Department of Rehabilitation and Elderly Care, Gannan Healthcare Vocational College, Ganzhou, Jiangxi, China.
Hongyan LuoDepartment of Respiratory Medicine, Dongguan Hospital of Guangzhou University of Chinese Medicine, Dongguan, China.
Weiyong ZengDepartment of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.
Xuwei HongDepartment of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.
Jiasheng FengDepartment of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.
Guangming LuDepartment of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.
Yongquan SuDepartment of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.
Wenting TongDepartment of Pharmacy, Gannan Healthcare Vocational College, Ganzhou, Jiangxi, China.
Yang XiaoDepartment of Urology, Dongguan Hospital, Guangzhou University of Chinese Medicine, Dongguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative anxiety is common in patients awaiting urolithiasis surgery. Although adequate preoperative education can reduce anxiety and improve outcomes, time and resource constraints often limit the depth and personalization of such interventions. Recent advances in AI, particularly large language models like GPT-4o and Ernie Bot, offer potential tools to supplement traditional education. However, their comparative effectiveness remains unclear. Purpose: This randomized controlled trial compared the effectiveness of AI-based preoperative education (ChatGPT, Ernie Bot) to that provided by attending urologists in reducing anxiety, enhancing satisfaction, and improving information quality. Methods: Seventy-five adult patients scheduled for urolithiasis surgery were randomly assigned (1:1:1) to ChatGPT, Ernie Bot, or urologist-led education. All received a standardized consultation 12 h preoperatively. The AI groups then had a 30 min Q&A with their assigned AI, and the physician group received an additional face-to-face session. Anxiety was measured via the State-Trait Anxiety Inventory (STAI) at baseline, immediately post-intervention, 3 h pre-op, and 3 h post-op. Secondary outcomes included patient satisfaction, query count, evaluation of information quality (safety, accuracy, empathy, readability, detail), and postoperative (3 h) pain (VAS). Results: All participants completed the study. Anxiety decreased significantly after intervention in all groups ( Conclusion: AI-assisted education, particularly via ChatGPT, can effectively reduce preoperative anxiety and improve patient engagement, though not to the level of physician-led education. Ernie Bot showed modest benefits. Further refinement of AI may enhance its role as a supplemental educational tool.

Indexed as

artificial intelligenceChatGPTErnie Botpatient educationpreoperative anxietyurolithiasis

Identifiers

PMID40636362
PMCPMC12238029

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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.