Evidence map›Paper›PMID 30949899›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2019

Rat models of colistin nephrotoxicity: previous experimental researches and future perspectives.

Cihan Heybeli, Mehmet Ası Oktan, Zahide Çavdar

Abstract readReview
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In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2019. 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
0.7field-weighted citation impact, top 37% 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, 16 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

3 authors at 1 institution in 1 country.

Cihan HeybeliDepartment of Internal Medicine, Division of Nephrology, Dokuz Eylül University School of Medicine, Mithatpasa Street, Inciralti, Izmir, Turkey. heybelic@hotmail.com.ORCID http://orcid.org/0000-0001-7903-1106
Mehmet Ası OktanDepartment of Internal Medicine, Division of Nephrology, Dokuz Eylül University School of Medicine, Mithatpasa Street, Inciralti, Izmir, Turkey.
Zahide ÇavdarDepartment of Molecular Medicine, Dokuz Eylül University Health Sciences Institute, Izmir, Turkey.
Dokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colistin is an old antibiotic, which is abandoned decades ago because of high nephrotoxicity rates. However, it is reintroduced to clinical medicine due to lack of newly discovered antibiotics and is still widely used for the treatment of resistant gram-negative infections. Discovering mechanisms to reduce nephrotoxicity risk is of significant importance since exposed patients may have many other factors that alter kidney functions. Several agents were evaluated in animal models of colistin nephrotoxicity as a means to prevent kidney injury. Considerable heterogeneity exists in terms of reporting colistin dosing and experimental designs. This issue leads clinicians to face difficulties in designing studies and sometimes may lead to report dosing strategies inadequately. Here, we present a review according to animal models of colistin nephrotoxicity using data gathered from previous experiments to draw attention on possible complexities that researchers may encounter.

Indexed as

Acute Kidney InjuryAnimalsAnti-Bacterial AgentsColistinDisease Models, AnimalDose-Response Relationship, DrugKidneyRatsRats, Sprague-DawleyRats, WistarRisk FactorsToxicity TestsAnti-Bacterial AgentsColistinAnimal modelColistinNephrotoxicity

Identifiers

PMID30949899
OpenAlexW2930009663

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.