Evidence map›Paper›PMID 26644972›Full record

ArticlePeerJ2015

Factors associated with extubation time in coronary artery bypass grafting patients.

Abbas Rezaianzadeh, Behzad Maghsoudi, Hamidreza Tabatabaee, Sareh Keshavarzi, Zahra Bagheri, Javad Sajedianfard, Hamid Gerami, Javad Rasouli

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Abbas RezaianzadehColorectal Research Center, Department of epidemiology, School of Health, Shiraz University of Medical Sciences , Shiraz , Iran.
Behzad MaghsoudiDepartment of Anesthesia, Shiraz Medical School, Shiraz University of Medical Sciences , Shiraz , Iran.
Hamidreza TabatabaeeDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences , Shiraz Fars , Iran.
Sareh KeshavarziDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences , Shiraz Fars , Iran.
Zahra BagheriDepartment of Biostatistic, Shiraz Medical School, Shiraz University of Medical Sciences , Shiraz , Iran.
Javad SajedianfardDepartment of Physiology, School of Veterinary Medicine, Shiraz University , Shiraz , Iran.
Hamid GeramiDepartment of Anesthesia, Shiraz Medical School, Shiraz University of Medical Sciences , Shiraz , Iran.
Javad RasouliDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences , Shiraz Fars , Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives. Cardiovascular diseases are the leading cause of death worldwide, with coronary artery disease being the most common. With increasing numbers of patients, Coronary Artery Bypass Grafting (CABG) has become the most common operation in the world. Respiratory disorder is one of the most prevalent complications of CABG. Thus, weaning off the mechanical ventilation and extubation are of great clinical importance for these patients. Some post-operative problems also relate to the tracheal tube and mechanical ventilation. Therefore, an increase in this leads to an increase in the number of complications, length of hospital stay, and treatment costs. Since a large number of factors affect the post-operative period, the present study aims to identify the predictors of extubation time in CABG patients using casualty network analysis. Method. This longitudinal study was conducted on 800 over 18 year old patients who had undergone CABG surgery in three treatment centers affiliated to Shiraz University of Medical Sciences. The patients' information, including pre-operative, peri-operative, and post-operative variables, was retrospectively extracted from their medical records. Then, the data was comprehensively analyzed through path analysis using MPLUS-7.1 software. Results. The mean of extubation time was 10.27 + 4.39 h. Moreover, extubation time was significantly affected by packed cells during the Cardiopulmonary Bypass (CPB), packed cells after CPB, inotrope use on arrival at ICU, mean arterial pressure 1st ICU, packed cells 1st ICU, platelets 1st ICU, Blood Urea Nitrogen 1st ICU, and hematocrit 1st ICU. Conclusion. Considering all of the factors under investigation, some peri-operative and post-operative factors had significant effects. Therefore, considering the post-operative factors is important for designing a treatment plan and evaluating patients' prognosis.

Indexed as

Coronary Artery BypassExtubationRisk factors

Identifiers

PMID26644972
PMCPMC4671154

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.