Evidence map›Paper›PMID 27408829›Full record

ArticleMethodsX2016

AZDAST the new horizon in antimicrobial synergism detection.

Navid Ziaei-Darounkalaei, Mehrdad Ameri, Taghi Zahraei-Salehi, Omid Ziaei-Darounkalaei, Tahereh Mohajer-Tabrizi, Lotfollah Bornaei

Abstract read
In one paragraph

Article in MethodsX, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Combination Therapy to Treat Fungal Biofilm-Based Infections.International journal of molecular sciences · 2020
    Review
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

6 authors.

Navid Ziaei-DarounkalaeiDepartment of Veterinary Medicine, Faculty of Agriculture, Islamic Azad University, Yasuj Branch, Yasuj, Iran.
Mehrdad AmeriDepartment of Pathology, Amgen Inc., USA.
Taghi Zahraei-SalehiDepartment of Microbiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
Omid Ziaei-DarounkalaeiDepartment of Orthopedic Surgery, Tehran University of Medical Sciences, Tehran, Iran.
Tahereh Mohajer-TabriziDepartment of General Surgery, Gorgan University of Medical Sciences, Gorgan, Iran.
Lotfollah BornaeiDepartment of Animal Science, Faculty of Agriculture, Islamic Azad University, Yasuj Branch, Yasuj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The attempts via introducing many methods have been conducted to select the best antibiotic combination in the treatment of seriously ill patients. Operational or interpretational complexity or time-consuming along with sufficient accuracy led to postpone routine clinical use of these tests until today, despite the urgent need for them. By this study and proposed method, selection of the best double antibiotic synergistic combination against resistant pathogen is simply same as Kirby-Bauer antibiotic susceptibility test. It seems, precise and reliable results (very low coefficient of variation) will be introduced it as a routine accurate diagnostic doubled antimicrobial synergism test.•The objective of this study was to introduce a novel method in antibiotic interaction detection.•It demonstrates high sensitivity and accuracy.•Easy implementation by routine microbiology labs materials and equipment and so easy stand-alone interpretation seems to make it friendly test be able to replacing the previous methods.

Indexed as

AZDAST antibiotic double combination

Identifiers

PMID27408829
PMCPMC4929268

What OpenQuestion holds

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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.