Evidence map›Paper›PMID 32161651›Full record

ArticleJournal of intensive care2020

Thoracic fluid content: a novel parameter for predicting failed weaning from mechanical ventilation.

Shymaa Fathy, Ahmed M Hasanin, Mohamed Raafat, Maha M A Mostafa, Ahmed M Fetouh, Mohamed Elsayed, Esraa M Badr, Hanan M Kamal, Ahmed Z Fouad

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Journal of intensive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 14% 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.

NCT06572995 recruitingnot on this mapstarted 2023, after this paper: background citation

Assessment of Intra-thoracic Water by Bio Reactance During Stabilization and Therapeutic De-escalation in Septic Shock: A Prospective, Multicenter, Observational Study

TypeobservationalSponsorUniversity Hospital, BrestRan2023 to 2025Enrolled50ConditionsSepsis, Septic Shock, Hemodynamic Instability, Fluid Overload
NCT07109206 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Cardio-circulatory and Respiratory Monitoring for Prediction of Outcome in Mechanically Ventilated Chronic Obstructive Pulmonary Disease Patients

TypeobservationalSponsorAssiut UniversityRan2025 to 2028Enrolled104ConditionsCOPD (Chronic Obstructive Pulmonary Disease), Cardiometry, Weaning Invasive Mechanical Ventilation
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Does the thoracic fluid content reflect lung water and cardiac preload?Journal of clinical monitoring and computing · 2025
    Article
  5. Article
  6. Review
  7. Article
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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 at 1 institution in 1 country.

Shymaa FathyDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Ahmed M HasaninDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Mohamed RaafatDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Maha M A MostafaDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Ahmed M FetouhDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Mohamed ElsayedDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Esraa M BadrDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Hanan M KamalDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Ahmed Z FouadDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, 01 Elsarayah Street, Elmanyal, Cairo, 11559 Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeaning of patients from the mechanical ventilation remains one of the critical decisions in intensive care unit. This study aimed to evaluate the accuracy of thoracic fluid content (TFC) as a predictor of weaning outcome.

methodsAn observational cohort study included 64 critically ill surgical patients who were eligible for extubation. Before initiating the spontaneous breathing trial, the TFC was measured using the electrical cardiometry technology. Patients were followed up after extubation and divided into successful weaning group and failed weaning group. Both groups were compared according to respiratory and cardiovascular parameters. Receiver operating characteristic (ROC) curves were constructed to evaluate the ability of TFC to predict weaning outcome.

resultsThe number of successfully weaned patients was 41/64 (64%). Twenty (31%) patients had impaired cardiac contractility, and of them, 13/20 (64%) patients were successfully extubated. Both groups, successful weaning group and failed weaning group, were comparable in most of baseline characteristics; however, the TFC was significantly higher in the failed weaning group compared to the successful weaning group. The area under the ROC curves (AUCs) showed moderate predictive ability for the TFC in predicting weaning failure (AUC [95% confidence interval] 0.69 [0.57-0.8], cutoff value > 50 kΩ

conclusionsThoracic fluid content showed moderate ability for predicting weaning outcome in surgical critically ill patients. However, in the subgroup of patients with ejection fraction less than 40%, TFC above 50 kΩ

Indexed as

Electrical cardiometryImpaired cardiac contractilityMechanical ventilationThoracic fluid contentWeaning

Identifiers

PMID32161651
PMCPMC7059362
OpenAlexW3011591963

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.