Evidence map›Paper›PMID 21805164›Full record

ArticleLung2011

Improved outcomes of patients with end-stage cystic fibrosis requiring invasive mechanical ventilation for acute respiratory failure.

Don Hayes, Heidi M Mansour

Abstract read
PubMed Publisher
In one paragraph

Article in Lung, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 28% 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.

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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Outcomes of Children With Cystic Fibrosis Admitted to PICUs.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    Article
  3. Article
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Don HayesAdvanced Lung Disease and Lung Transplant Programs, C424 University of Kentucky Medical Center, 800 Rose Street, Lexington, KY 40536, USA. don.hayes@uky.edu
Heidi M Mansour
University of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesThe aim of this study was to determine the effects of an antibiotic strategy with intravenous (IV) continuous infusion of a β-lactam (CIBL) antibiotic and high-dose extended-interval (HDEI) tobramycin upon outcomes in patients with cystic fibrosis (CF) requiring invasive mechanical ventilation (IMV) for acute respiratory failure.

designThe study was a retrospective review from June 1, 2006, to December 1, 2010, of patients at a university hospital with an adult CF center.

resultsThe study population included adult CF patients requiring IMV. A total of 15 hospitalizations with IMV episodes were reviewed, involving 10 adult (31.4 ± 11.1 years) CF patients with end-stage lung disease (FEV(1) = 23.6 ± 7.8% predicted) and malnutrition (body mass index = 20.5 ± 3.1). Each patient survived to discharge and to follow-up 6 months later without the need for lung transplantation during the study period.

conclusionsA novel antibiotic strategy with a CIBL antibiotic and HDEI tobramycin improved survival in a small cohort of critically ill CF patients with end-stage lung disease and malnutrition requiring IMV.

Indexed as

Acute DiseaseAdultAnti-Bacterial Agentsbeta-LactamsCystic FibrosisFemaleHumansMaleMalnutritionRespiration, ArtificialRespiratory Function TestsRespiratory InsufficiencyRetrospective StudiesSeverity of Illness IndexTobramycinTreatment OutcomeAnti-Bacterial Agentsbeta-LactamsTobramycin

Identifiers

PMID21805164
OpenAlexW2092189889

What OpenQuestion holds

Textmetadata
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.