Evidence map›Paper›PMID 36978342›Full record

ReviewAntibiotics (Basel, Switzerland)2023

Antimicrobial Pharmacokinetics and Pharmacodynamics in Critical Care: Adjusting the Dose in Extracorporeal Circulation and to Prevent the Genesis of Multiresistant Bacteria.

Jesus Ruiz-Ramos, Laura Gras-Martín, Paula Ramírez

Open access · goldFull text readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. CutaneousInternational journal of molecular sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Bioinformation · 2024
    Article
  10. 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

3 authors at 2 institutions in 1 country.

Jesus Ruiz-RamosPharmacy Department, Hospital Santa Creu i Sant Pau, 08025 Barcelona, Spain.ORCID 0000-0002-0008-641X
Laura Gras-MartínPharmacy Department, Hospital Santa Creu i Sant Pau, 08025 Barcelona, Spain.
Paula RamírezIntensive Care Unit, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain.ORCID 0000-0002-7598-3350
Hospital de Sant Pau · ESHospital Universitari i Politècnic La Fe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill patients suffering from severe infections are prone to pathophysiological pharmacokinetic changes that are frequently associated with inadequate antibiotic serum concentrations. Minimum inhibitory concentrations (MICs) of the causative pathogens tend to be higher in intensive care units. Both pharmacokinetic changes and high antibiotic resistance likely jeopardize the efficacy of treatment. The use of extracorporeal circulation devices to support hemodynamic, respiratory, or renal failure enables pharmacokinetic changes and makes it even more difficult to achieve an adequate antibiotic dose. Besides a clinical response, antibiotic pharmacokinetic optimization is important to reduce the selection of strains resistant to common antibiotics. In this review, we summarize the present knowledge regarding pharmacokinetic changes in critically ill patients and we discuss the effects of extra-corporeal devices on antibiotic treatment together with potential solutions.

Indexed as

antibiotic activityantibiotic resistanceintensive care unitmultidrug-resistant pathogenspharmacokinetics

Identifiers

PMID36978342
PMCPMC10044431
OpenAlexW4322500661

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read8
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.