Evidence map›Paper›PMID 28331866›Full record

ArticleJournal of research in pharmacy practice

Clinical Response and Outcome in Patients with Multidrug Resistant Gram-negative Infections.

Masoume Malekolkottab, Lida Shojaei, Hossein Khalili, Mahsa Doomanlou

Open access · goldAbstract read
In one paragraph

Article in Journal of research in pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Antibiotic stewardship program in Intensive Care Unit: First report from Iran.International journal of critical illness and injury science
    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

4 authors at 1 institution in 1 country.

Masoume MalekolkottabDepartment of Clinical Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Lida ShojaeiDepartment of Clinical Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Hossein KhaliliDepartment of Clinical Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Mahsa DoomanlouCentral Laboratory, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study, frequency and antimicrobial sensitivity pattern of multidrug resistant (MDR) microorganisms were evaluated in a referral teaching hospital in Iran.

methodsPatients with MDR Gram-negative pathogens were followed during the course of hospitalization. Demographic data, baseline diseases, type of biological sample, isolated microorganism, type of infection, antibiotic regimen before the availability of the culture result and change in the antibiotic regimen following receiving the antibiogram results, response to the treatment regimen, and duration of hospitalization and patient's outcome were considered variables for each recruited patient.

findingsIn 71% of the patients, antibiotic regimens were changed according to the antibiogram results. A carbapenem alone or plus amikacin or ciprofloxacin were selected regimens for patients with extended-spectrum beta-lactamase (ESBL) infections. For patients with probable carbapenem-resistant

conclusionSame as other countries, infections due MDR microorganisms is increasing in the recent years. This type of resistance caused poor clinical response and high rate mortality in the patients.

Indexed as

Ethiopiaexpectationpharmaceutical servicessatisfactionservice quality

Identifiers

PMID28331866
PMCPMC5348857
OpenAlexW2593372105

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.