Evidence map›Paper›PMID 40688298›Full record

ArticleJournal of thoracic disease2025

HEs Consciousness Scale: a rapid and promising classification for early assessment of post-anesthesia consciousness recovery.

Jiawei Chen, Wei Shen, Yanran Zhou, Hanyu Yang, Guilin Peng, Chao Yang, Lan Lan, Hui Liu, Zhaoxia Sun, Zhongqiao Mo and 12 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Jiawei Chen *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Wei Shen *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Yanran Zhou *Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Hanyu YangDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Guilin PengDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Chao YangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Lan LanDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Hui LiuDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Zhaoxia SunDepartment of Postanesthesia Care Unit, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Zhongqiao MoDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Zihao LiuDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Weixue CuiDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Hongsheng DengDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Ahmed G ElkhoulyDepartment of Cardiothoracic Surgery, Faculty of Medicine, Tanta University, Tanta, Egypt.
Mahmoud IsmailDepartment of Thoracic Surgery, Klinikum Ernst von Bergmann Potsdam, HMU Health and Medical University, Potsdam, Germany.
Raja M FloresDepartment of Thoracic Surgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, NY, USA.
Keng-Leong AngDepartment of Thoracic Surgery, Freeman Hospital, Newcastle upon Tyne, UK.
Eugenio PompeoDepartment of Thoracic Surgery, Policlinico Tor Vergata University, Rome, Italy.
Gonzalez-Rivas DiegoThoracic Surgery and Minimally Invasive Thoracic Surgery Unit (UCTMI), Coruna University Hospital, Coruna, Spain.
Jingping WangDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Xin XuDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Jianxing HeDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative cognitive dysfunction (POCD) is a common complication after thoracic surgery, especially after complex surgeries involving general anesthesia, such as lung transplantation. Improving anesthetic strategies may offer an effective approach to reducing the incidence of POCD. Non-intubated anesthesia has emerged as a transformative advancement in thoracic surgery and anesthesia. The approach combines regional anesthesia with minimal sedation and avoids muscle relaxants, potentially mitigating neurocognitive impairment. Additionally, early detection is crucial for timely intervention and contributes to postoperative outcomes. Although various classification systems have been proposed to assess cognitive function following anesthesia and surgery, their complexity and the need for multidisciplinary often limit their applicability and efficiency. To address these challenges, we developed the HEs Consciousness. We retrospectively review 172 patients, including 72 patients received lung transplantation and 100 patients underwent general thoracic surgery. The HEs scale was used to assess cognitive status within hours after surgery. Patients classified as grade I-II received timely interventions, which effectively prevented progression to POCD. Preliminary findings suggested that this scale is a promising and practical tool for the early detection of cognitive dysfunction. The HEs Consciousness Scale offers a simplified, rapid, and structured approach to postoperative cognitive evaluation, making it well-suited for integration into routine perioperative care. Its broader applicability requires further validation to establish its reliability and generalizability across diverse clinical settings.

Indexed as

consciousness recoveryearly assessmentHEs Consciousness Scalenon-intubated anesthesiatubeless

Identifiers

PMID40688298
PMCPMC12268597

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Registered trials

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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.