Evidence map›Paper›PMID 42040560›Full record

SynthesisFrontiers in medicine2026

Weaning from mechanical ventilation in ICU patients: research hotspots and trends in the past decade-a bibliometric analysis.

Yuanyuan Mi, Meng Liu, Hao Li, Xuyang Ye, Jiang Dong, Jing Liu, Xing Zhao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Yuanyuan Mi *Department of Intensive Care Medicine, The Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan University, Wuhan, China.
Meng Liu *Department of Intensive Care Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Hao Li *Department of Intensive Care Medicine, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Xuyang YeEvidence-based Nursing Research Center, The Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan University, Wuhan, China.
Jiang DongDepartment of Operation Room, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jing LiuDepartment of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xing ZhaoDepartment of Intensive Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the research landscape and emerging trends in weaning from mechanical ventilation in ICU patients, providing insights to inform evidence-based practices in critical care nursing. Design: Bibliometric analysis. Methods: A systematic search identified 5,101 English-language studies published from January 2014 to February 2025 across the Web of Science Core Collection, PubMed, and Scopus. Data were analyzed using CiteSpace 6.4. R1 and VOSviewer to map publication trends, international collaborations, leading authors and institutions, core journals, and keyword clusters. Results: The volume of publications increased notably from 2016, peaking in 2021-2022. The United States, China, and France emerged as the top contributors, with key institutions such as the University of Toronto playing pivotal roles in collaborative networks. Research primarily focused on factors influencing weaning outcomes, evaluation of weaning criteria, and challenges associated with difficult weaning and extubation failure. Moreover, emerging trends emphasize the integration of diaphragmatic ultrasound, the rapid shallow breathing index (RSBI), and machine learning techniques to enhance predictive accuracy and optimize weaning strategies. Conclusion: The evolving research trends highlight a growing emphasis on multimodal assessment and advanced predictive tools in mechanical ventilation weaning. These findings offer valuable guidance for critical care nurses and multidisciplinary teams aiming to refine weaning protocols and improve patient outcomes in intensive care settings.

Indexed as

bibliometric analysisdiaphragmatic ultrasoundintensive caremachine learningmechanical ventilationrapid shallow breathing indexweaning

Identifiers

PMID42040560
PMCPMC13105878

What OpenQuestion holds

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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.