Evidence map›Paper›PMID 33423439›Full record

ArticleAcute and critical care2020

Predictive value of the negative inspiratory force index as a predictor of weaning success: a crosssectional study.

Phuong Hoang Vu, Viet Duc Tran, Minh Cuong Duong, Quyet Thang Cong, Thu Nguyen

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Acute and critical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07098611 (A New Tool for Extubation Readiness in Mechanically Ventilated Patients), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
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.

NCT07098611 recruitingnot on this mapstarted 2025, after this paper: background citation

A New Tool for Extubation Readiness in Mechanically Ventilated Patients: Readiness for EXtubation Score (REXs STUDY)

Typeobservational_patient_registrySponsorMedipol UniversityRan2025 to 2026Enrolled470ConditionsVentilator Weaning, Respiration, Artificial, Respiratory Failure, Extubation Readiness
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Biosignal-Based Digital Biomarkers for Prediction of Ventilator Weaning Success.International journal of environmental research and public health · 2021
    Article
  4. Review
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

5 authors at 2 institutions in 2 countries.

Phuong Hoang VuDepartment of Anesthesia and Intensive Care, Hanoi Medical University, Hanoi, Vietnam.
Viet Duc TranDepartment of Anesthesia and Intensive Care, Hanoi Medical University, Hanoi, Vietnam.
Minh Cuong DuongSchool of Population Health, University of New South Wales, Sydney, Australia.
Quyet Thang CongDepartment of Anesthesia and Intensive Care, Hanoi Medical University, Hanoi, Vietnam.
Thu NguyenDepartment of Anesthesia and Intensive Care, Hanoi Medical University, Hanoi, Vietnam.
Hanoi Medical University · VNUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying when intubated patients are ready to be extubated remains challenging. The negative inspiratory force (NIF) is a recommended predictor of weaning success. However, little is known about the role of NIF in the weaning process for the Asian surgical intensive population, especially for the Vietnamese population. Here, we aimed to investigate the cutoff threshold and predictive value of the NIF index for predicting the success of ventilator weaning in Vietnamese surgical intensive care patients.

methodsA cross-sectional study was conducted at the Surgical Intensive Care Unit of Viet Duc Hospital from October 2016 to August 2017. A total of 64 patients aged 16-70 years undergoing ventilatory support through an orotracheal tube satisfied the criteria for readiness to begin weaning. The correlation between the NIF index with outcomes of the weaning process was analyzed. Specificity (Sp), sensitivity (Se), positive predictive value (PPV), negative predictive value (NPV), receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated.

resultsThe success rate of the entire weaning process was 67.2% (43/64). The median NIF values were -26.0 cm H2O (interquartile range [IQR], -28.0 to -25.0) in the successful weaning group and -24.0 cm H2O (IQR, -25.0 to -23.0) in the weaning failure group (P<0.001). According to ROC analysis, an NIF value ≤-25 cm H2O predicted weaning success (AUC, 0.836) with 91% Se, 62% Sp, 83% PPV, and 77% NPV.

conclusionsAn NIF cutoff threshold ≤-25 cm H2O can be used as predictor of weaning success in Vietnamese surgical intensive care patients.

Indexed as

airway extubationcritical careventilator weaningVietnam

Identifiers

PMID33423439
PMCPMC7808855
OpenAlexW3108626280

What OpenQuestion holds

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LicenceCC BY-NC
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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.