Evidence map›Paper›PMID 35582743›Full record

ArticleJournal of clinical laboratory analysis2022

The preventive effects of different doses of atorvastatin on contrast-induced acute kidney injury after CT perfusion.

Shi-Xin Yan, Man Gao, Tian-Hao Yang, Chao Tian, Song Jin

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

  1. Article
  2. Review
  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

5 authors at 1 institution in 1 country.

Shi-Xin YanImaging department of Tianjin Huanhu hospital, Tianjin, China.ORCID https://orcid.org/0000-0002-1047-9946
Man GaoImaging department of Tianjin Huanhu hospital, Tianjin, China.
Tian-Hao YangImaging department of Tianjin Huanhu hospital, Tianjin, China.
Chao TianImaging department of Tianjin Huanhu hospital, Tianjin, China.
Song JinImaging department of Tianjin Huanhu hospital, Tianjin, China.
Tianjin Huanhu Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContrast-induced acute kidney injury (CI-AKI) is a severe complication among patients receiving intravascular contrast media. The purpose of this study was to investigate the preventive effects of pretreatment of atorvastatin at intensive doses on CI-AKI after computed tomography (CT) perfusion.

methodsThe levels of serum creatinine (SCR), blood urea nitrogen (BUN), Cystatin C (CysC), estimated glomerular filtration rate (eGFR), high-sensitivity C-reactive protein (hs-CRP), and interleukin-6 (IL-6) in patients were compared between the observation group receiving 40 mg/kg atorvastatin and the control group receiving 20 mg/kg atorvastatin before and 72 h after CT examination. In addition, the incidence of CI-AKI was recorded.

resultsCompared with the control group, the incidence of renal injury in the observation group was significantly reduced, from 8% to 2% (χ

conclusionIntensive dose of atorvastatin pretreatment can prevent CI-AKI undergoing CT perfusion through lowering inflammation as well as renal function indexes SCR, CysC, BUN, and eGFR.

Indexed as

Acute Kidney InjuryAtorvastatinContrast MediaBiomarkersC-Reactive ProteinCreatinineGlomerular Filtration RateHumansInterleukin-6PerfusionTomography, X-Ray ComputedAtorvastatinBiomarkersContrast MediaC-Reactive ProteinCreatinineInterleukin-6acute kidney injuryatorvastatincomputed tomographyincidenceperfusion

Identifiers

PMID35582743
PMCPMC9279945
OpenAlexW4280529528

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.