Evidence map›Paper›PMID 41781048›Full record

ArticleBMJ open2026

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

Ming Li, Yingying Yang, Jie Hao, Yuechuan Xue, Dongdong Weng, Haiyan Jiang, Weitao Song, Yang Yang, Yun Long

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06743321 (A Prospective Study of the Effectiveness of Speech-to-speech Voice-cloning Care), which is not on this 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.

NCT06743321 nanot yet recruitingnot on this map

A Prospective Study of the Effectiveness of Speech-to-speech Voice-cloning Care (SVCC) to Improve ICU-acquired Anxiety for Critically Ill Patients

TypeinterventionalSponsorPeking Union Medical College HospitalRan2026 to 2027Enrolled234ConditionsCritical Care NursingArmsSpeech-to-speech Voice-Cloning Care (SVCC)
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

9 authors.

Ming LiBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0000-0003-3719-9407
Yingying YangDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Jie HaoBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0000-0003-1730-4847
Yuechuan XueDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Dongdong WengBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Haiyan JiangICT Cluster, Singapore Institute of Technology, Singapore.
Weitao SongBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Yang YangChangsha Medical College, Changsha, Hunan, China.
Yun LongDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China iculong_yun@163.com.ORCID http://orcid.org/0000-0002-9196-4651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact between patients and family members, affecting patients' well-being and clinical outcomes. With the evolution of voice-cloning based on artificial intelligence (AI) technology, it has become possible for health providers to communicate with critically ill patients using highly similar synthetic voices of their loved ones during ICU care. This current randomised, controlled trial will explore the effect of voice-cloning care on improving mental health outcomes for critically ill patients, with ICU-acquired anxiety as the primary indicator. METHODS AND ANALYSIS: This study will enrol 234 adult ICU patients, who are expected to require mechanical ventilation for over 24 hours and an ICU stay exceeding 72 hours. Participants will be randomly assigned to two groups. The control group will receive standardised communication as part of usual ICU care, while the intervention group will receive Speech-to-Speech Voice-Cloning Care (SVCC) in addition to standard ICU care. The SVCC interventions involve nurses using a participant's family member's cloned voice to deliver pre-set communication scripts during awakening, soothing and preparation for endotracheal tube removal. The primary outcome is expected to lead to improvements in ICU-acquired anxiety for the intervention group, measured by the Hospital Anxiety and Depression Scale. Secondary outcomes include ICU-acquired depression, the incidence of delirium, the mean duration of mechanical ventilation and the average length of ICU stay. ETHICS AND DISSEMINATION: This protocol was approved by the Ethics Committee of Peking Union Medical College Hospital (Approval Number: K-6842). The protocol version number is 1.2 and the version date is 8 October 2024. Study findings will be disseminated through peer-reviewed publications and presentations at national and international conferences. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, ID: NCT06743321.

Indexed as

AnxietyCritical CareCritical IllnessIntensive Care UnitsAdultArtificial IntelligenceBeijingCommunicationFemaleHumansRandomized Controlled Trials as TopicRespiration, ArtificialTertiary Care CentersVoiceAdult intensive & critical careAnxiety disordersArtificial IntelligencePatient-Centered CareRandomized Controlled Trial

Identifiers

PMID41781048
PMCPMC12970082

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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.