Evidence map›Paper›PMID 39753249›Full record

ArticleBMJ open2025

Predictive value of cough peak flow for successful extubation in mechanically ventilated patients after craniotomy: a single-centre prospective diagnostic study.

Jianfang Zhou, Hong-Liang Li, Xu-Ying Luo, Guang-Qiang Chen, Yan-Lin Yang, Linlin Zhang, Ming Xu, Guang Zhi Shi, Jian-Xin Zhou

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04000997 (The Predictive Value of Cough Peak Flow for Extubation Success in Mechanically Ventilated Patients After Craniotomy), which is not on this 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.

NCT04000997 completednot on this map

The Predictive Value of Cough Peak Flow for Extubation Success in Mechanically Ventilated Patients After Craniotomy: a Single-center Prospective Diagnostic Study

TypeobservationalSponsorBeijing Tiantan HospitalRan2019 to 2021Enrolled785ConditionsExtubation Success, Craniofacial Pain Syndrome, Cough Peak Flow, Endotracheal Tube
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Jianfang Zhou *Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.ORCID http://orcid.org/0000-0002-6477-4270
Hong-Liang Li *Department of Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, Beijing, China.
Xu-Ying LuoDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.
Guang-Qiang ChenDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.
Yan-Lin YangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.
Linlin ZhangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.
Ming XuDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.
Guang Zhi ShiDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China.
Jian-Xin ZhouClinical and Research Center on Acute Lung Injury, Beijing Shijitan Hospital Capital Medical University, Beijing, Beijing, China zhoujx.cn@icloud.com.ORCID http://orcid.org/0000-0002-1559-7554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to evaluate the predictive value of the cough peak flow (CPF) for successful extubation in postcraniotomy critically ill patients.

designThis was a single-centre prospective diagnostic study.

settingThe study was conducted in three intensive care units (ICUs) of a teaching hospital.

participantsPostcraniotomy patients who were 18 years or older, stayed in ICU for more than 24 hours and underwent mechanical ventilation for more than 24 hours were eligible for the study. Patients were excluded if one of the following was present: no extubation attempt during the ICU stay; underwent tracheostomy without extubation attempt; pregnant or lactating women; enrolled in other clinical trials; declined to participate in the study. A total of 4879 patients were screened and 1037 were eligible for the study, among whom 785 were included in the study. OUTCOME MEASURES: CPF, including involuntary (CPF-invol) and voluntary CPF (CPF-vol), were measured before extubation. The area under the receiver operating characteristic curve (AUC) was calculated to explore the diagnostic accuracy of CPF in predicting successful extubation.

resultsThere were 641 successful extubation cases (81.7%). The AUC of CPF-invol for predicting successful extubation was 0.810 (95% CI 0.766 to 0.854), with a cut-off value of 63.2 L/min, a sensitivity of 87.4% and a specificity of 66.7%. For conscious patients, the AUC of CPF-invol for the prediction of successful extubation was 0.849 (95% CI 0.794 to 0.904), with a cut-off value of 63.2 L/min and the AUC of CPF-vol was 0.756 (95% CI 0.696 to 0.817), with a cut-off value of 68.2 L/min.

conclusionsThe CPF was much higher in patients with successful extubation than that in patients with failed extubation. CPF might be valuable for the prediction of extubation outcomes in postcraniotomy critically ill patients. Multicentre studies could be carried out to further validate the results of this study. TRIAL REGISTRATION NUMBER: NCT04000997.

Indexed as

Airway ExtubationCoughCraniotomyIntensive Care UnitsPredictive Value of TestsRespiration, ArtificialAdultAgedCritical IllnessFemaleHumansMaleMiddle AgedPeak Expiratory Flow RateProspective StudiesROC CurveAdult intensive & critical careBrain InjuriesClinical TrialNeurosurgery

Identifiers

PMID39753249
PMCPMC11749329

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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.