Evidence map›Paper›PMID 23508666›Full record

ReviewEuropean journal of clinical pharmacology2013

N-acetylcysteine for the prevention of non-contrast media agent-induced kidney injury: from preclinical data to clinical evidence.

Hesamoddin Hosseinjani, Azadeh Moghaddas, Hossein Khalili

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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.

Hesamoddin HosseinjaniDepartment of Clinical Pharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Enghelab Ave, P.O.Box:14155/6451, 1417614411, Tehran, Iran. hosseinjanih@yahoo.com
Azadeh Moghaddas
Hossein Khalili
Tehran University of Medical Sciences · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo review available evidence on the effectiveness of N-acetylcysteine (NAC) as a prophylactic agent in the prevention of non-contrast media agent-induced kidney injury.

methodData were collected by searching Scopus, PubMed, Medline, Science direct and Cochrane database systematic reviews. A total of 26 relevant experimental studies up to the date of publication were included in the review.

resultsAvailable evidence shows that NAC has the potential to exert significant protective or ameliorative effects against drug-induced kidney injury in experimental models. The possible suggested renoprotective mechanisms of NAC in different experimental settings were acting as an antioxidant by restoring the pool of intracellular reduced glutathione, scavenging of free radicals, and/or interacting with reactive oxygen species.

conclusionWhether the administration of NAC could be an effective protective clinical strategy to prevent drug-induced kidney injury or not is a question that remains to be answered in future clinical trials.

Indexed as

Evidence-Based MedicineAcetylcysteineAnimalsAnti-Infective AgentsAnti-Inflammatory Agents, Non-SteroidalAntineoplastic AgentsAntioxidantsHumansKidneyProtective AgentsRenal InsufficiencyAcetylcysteineAnti-Infective AgentsAnti-Inflammatory Agents, Non-SteroidalAntineoplastic AgentsAntioxidantsProtective Agents

Identifiers

PMID23508666
OpenAlexW2047480667

What Socratic 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 Socratic graph.