Evidence map›Paper›PMID 26522473›Full record

SynthesisThe Cochrane database of systematic reviews2015

Combination antimicrobial susceptibility testing for acute exacerbations in chronic infection of Pseudomonas aeruginosa in cystic fibrosis.

Valerie Waters, Felix Ratjen

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Valerie WatersDepartment of Pediatrics, Division of Infectious Diseases, Hospital for Sick Children, 555 University Avenue, Toronto, ON, Canada, M5G 1X8.
Felix Ratjen
Hospital for Sick Children · CASickKids Foundation · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic therapy for acute pulmonary exacerbations in people with cystic fibrosis (CF) is usually chosen based on the results of antimicrobial susceptibility testing of individual drugs. Combination antimicrobial susceptibility testing assesses the efficacy of drug combinations including two or three antibiotics in vitro and can often demonstrate antimicrobial efficacy against bacterial isolates even when individual antibiotics have little or no effect. Therefore, choosing antibiotics based on combination antimicrobial susceptibility testing could potentially improve response to treatment in people with CF with acute exacerbations. This is an updated version of a previously published review.

objectivesTo compare antibiotic therapy based on conventional antimicrobial susceptibility testing to antibiotic therapy based on combination antimicrobial susceptibility testing in the treatment of acute pulmonary exacerbations in people with CF and chronic infection with P. aeruginosa. SEARCH

methodsWe identified relevant trials from the Group's Cystic Fibrosis Trials Register.Latest search: 27 July 2015. SELECTION CRITERIA: Randomised and quasi-randomised controlled trials of antibiotic therapy based on conventional antimicrobial susceptibility testing compared to antibiotic therapy based on combination antimicrobial susceptibility testing in the treatment of acute pulmonary exacerbations in CF due to chronic infection with P. aeruginosa. DATA COLLECTION AND ANALYSIS: Both authors independently selected trials, assessed their quality and extracted data from eligible studies. Additionally, the authors contacted the study investigators to obtain further information. MAIN

resultsThe search identified one study eligible for inclusion in the review. This study prospectively assessed whether the use of multiple combination bactericidal antibiotic testing (MCBT) improved clinical outcomes in participants with acute pulmonary exacerbations of CF who were infected with multiresistant bacteria. A total of 132 participants were randomised in the study. The study investigators provided data specific to the participants who were only infected with P. aeruginosa for the primary outcome: time until next pulmonary exacerbation. For "Time to next pulmonary exacerbation" in the participants specifically infected with only P. aeruginosa, the hazard ratio was 0.82, favouring the control group (95% CI 0.44 to 1.51) (P = 0.52). The data did not provide evidence that combination susceptibility testing was superior to conventional susceptibility testing. AUTHORS'

conclusionsThe current evidence, limited to one study, shows that there is insufficient evidence to determine effect of choosing antibiotics based on combination antimicrobial susceptibility testing compared to choosing antibiotics based on conventional antimicrobial susceptibility testing in the treatment of acute pulmonary exacerbations in people with CF with chronic P. aeruginosa infection. A large international and multicentre trial is needed to further investigate this issue.The only trial included in the review was published in 2005, and we have not identified any relevant trials up to September 2011. We therefore do not plan to update this review until new trials are published, although we will search the Group's Cystic Fibrosis Trials Register on a two-yearly cycle.

Indexed as

Pseudomonas aeruginosaAnti-Bacterial AgentsChronic DiseaseCystic FibrosisDisease ProgressionDrug Therapy, CombinationHumansMicrobial Sensitivity TestsPseudomonas InfectionsRandomized Controlled Trials as TopicAnti-Bacterial Agents

Identifiers

PMID26522473
OpenAlexW3172058774

What OpenQuestion holds

Textmetadata
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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.