Evidence map›Paper›PMID 30803974›Full record

SynthesisAntimicrobial agents and chemotherapy2019

Measuring Antimicrobial Efficacy against Biofilms: a Meta-analysis.

Philip S Stewart, Albert E Parker

Abstract readMeta-Analysis
In one paragraph

Synthesis in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

2 authors.

Philip S StewartCenter for Biofilm Engineering, Montana State University, Bozeman, Montana, USA phil_s@erc.montana.edu.
Albert E ParkerCenter for Biofilm Engineering, Montana State University, Bozeman, Montana, USA.

Funding

Spatiotemporal Distribution of Oxygen in Biofilm InfectionsR01GM109452 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI STEWART, PHILIP S · 2013 to 2015
$891k
NIGMS NIH HHS R01 GM109452
6 · The paper itself

Abstract

Through a statistical meta-analysis of published data on antimicrobial efficacy against biofilms formed by two common bacterial species, it was concluded that the particular experimental method used is the most important factor determining the outcome of the test. An expected dose-response relationship (greater killing with higher doses or longer treatment times) was observed for data sets derived from a single method but was not observed when data from multiple studies using diverse methods were pooled. Method-specific properties such as the surface area/volume ratio, areal biofilm cell density, and microbial species were shown to influence quantitative measurements of biofilm killing. A better appreciation of the method characteristics that affect antibiofilm efficacy tests could aid decision-making related to investment in research and development and regulatory approvals for biofilm control strategies. The following recommendations are offered to those working in research and development related to biofilm control: (i) report the log reduction, surface area/volume ratio, and biofilm areal cell density; (ii) include data for a benchmark agent, making sure that this agent performs competitively at the dose tested; (iii) measure the dose-response relationship, i.e., make measurements at multiple treatment concentrations or dose durations; and (iv) use a standardized method in addition to research methods.

Indexed as

Anti-Infective AgentsBiofilmsMicrobial Sensitivity TestsAnti-Infective Agentsantimicrobial agentsbiofilmquantitative methodsstatistics

Identifiers

PMID30803974
PMCPMC6496104

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.