Evidence map›Paper›PMID 24250599›Full record

ArticleIranian journal of pharmaceutical research : IJPR2013

Optimal aminoglycoside therapy following the sepsis: how much is too much?

Laleh Mahmoudi, Ramin Niknam, Sarah Mousavi, Arezoo Ahmadi, Hooshyar Honarmand, Shadi Ziaie, Mojtaba Mojtahedzadeh

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR, 2013. 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, top 95% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors at 1 institution in 1 country.

Laleh MahmoudiClinical Pharmacy Department, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
Ramin Niknam
Sarah Mousavi
Arezoo Ahmadi
Hooshyar Honarmand
Shadi Ziaie
Mojtaba Mojtahedzadeh
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe sepsis and septic shock are major problems as the result of high rates morbidity and mortality in intensive care units (ICUs). In the presence of septic shock, each hour of delay in the administration of effective antibiotics is associated with a measurable increase in mortality. Aminoglycosides are effective broad-spectrum antibiotics that are commonly used in ICUs for the treatment of life-threatening Gram-negative infections and as a part of empiric therapy for severe sepsis and septic shock. Knowledge of the pharmacokinetic (PK) and pharmacodynamic (PD) properties of the antibiotics used for the management of critically ill patients is essential for selecting the antibiotic dosing regimens and improving patient outcome. Volume of distribution (Vd) and clearance (CL) of aminoglycosides in critically ill patients differs from general population and these parameters change considerably during the therapy. Pathophysiological changes during the sepsis alter the pharmacokinetic and pharmacodynamic profile of many drugs (increase in Vd and variable changes in CL have been reported for aminoglycosides during the sepsis), therefore, dosing regimen optimization is necessary for achieving therapeutic goal, and critically ill patients should receive larger loading doses of aminoglycosides in order to achieve therapeutic blood levels and due to the considerable variation in kinetic parameters, the use of standard doses of aminoglycosides or dosing nomograms is not recommended in these populations.

Indexed as

AminoglycosidesCritically illPharmacokineticSepsisSeptic shock

Identifiers

PMID24250599
PMCPMC3813230
OpenAlexW1929043992

What OpenQuestion holds

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LicenceCC BY
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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.