Evidence map›Paper›PMID 42303536›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2026

A severity-aware multi-agent soft actor-critic framework for medical resource coordination in plateau disaster rescue.

Xi Qiu, Hailin Cao, Li Yang, Jiangliang Pang, Zhigang Chang, Zhen Wang, Yang Li, Dong Liu, Lianyang Zhang, Hao Tang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2026. 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
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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

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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

11 authors.

Xi QiuChongqing University, Chongqing, 400044, China.
Hailin CaoChongqing University, Chongqing, 400044, China.
Li YangChongqing University, Chongqing, 400044, China.
Jiangliang PangTiantai County People's Hospital, Tiantai, 317200, Zhejiang province, China.
Zhigang ChangDepartment of Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Zhen WangDepartment of Trauma Surgery, Medical Center of Trauma and War Injury, Daping Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University, Chongqing, 400042, China.
Yang LiDepartment of Trauma Surgery, Medical Center of Trauma and War Injury, Daping Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University, Chongqing, 400042, China.
Dong LiuDepartment of Trauma Surgery, Medical Center of Trauma and War Injury, Daping Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University, Chongqing, 400042, China.
Lianyang ZhangDepartment of Trauma Surgery, Medical Center of Trauma and War Injury, Daping Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University, Chongqing, 400042, China.
Hao TangDepartment of Trauma Surgery, Medical Center of Trauma and War Injury, Daping Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University, Chongqing, 400042, China. Electronic address: dptanghao@tmmu.edu.cn.
Peiyang HuTiantai County People's Hospital, Tiantai, 317200, Zhejiang province, China. Electronic address: hpy94@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutonomous medical rescue on high-altitude plateaus faces formidable challenges, as extreme environmental conditions, including hypobaric hypoxia, severe cold, and inaccessible terrain, critically degrade human physiological resilience and logistical accessibility. The "platinum 10 min" window becomes even more stringent, demanding rapid triage and precise resource allocation under severe infrastructure deficits. Existing multi-agent reinforcement learning approaches struggle to reconcile discrete tactical maneuvering with the continuous precision required for medical resource allocation, leading to sub-optimal logistics and coarse treatment decisions.

methodsTo address these limitations, we propose ISMRG

resultsExtensive evaluations demonstrate that ISMRG

conclusionThe proposed ISMRG

Indexed as

AltitudeDisastersRescue WorkResource AllocationTriageHumansReinforcement Machine LearningHigh-altitude disaster rescueHybrid action spaceInjury severity awarenessMedical resource collaborationMulti-agent soft actor-critic

Identifiers

PMID42303536
PMCPMC13654386

What OpenQuestion holds

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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.