Evidence map›Paper›PMID 34267786›Full record

ReviewJornal vascular brasileiro2021

Creatinine level variation in patients subjected to contrast-enhanced tomography: a meta-analysis.

André Brusamolin Moro, João Gabriel Nakka Strauch, Anderson Dillmann Groto, Jeferson Freitas Toregeani

Open access · diamondAbstract readReview
In one paragraph

Review in Jornal vascular brasileiro, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  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

4 authors at 4 institutions in 2 countries.

André Brusamolin MoroCentro Universitário Fundação Assis Gurgacz - FAG, Cascavel, PR, Brasil.ORCID 0000-0002-0331-3411
João Gabriel Nakka StrauchClínica de Radiologia - UNITOM, Cascavel, PR, Brasil.ORCID 0000-0002-2922-3529
Anderson Dillmann GrotoUniversidade Federal do Paraná - UFPR, Toledo, PR, Brasil.ORCID 0000-0002-9028-4371
Jeferson Freitas ToregeaniCentro Universitário Fundação Assis Gurgacz - FAG, Cascavel, PR, Brasil.ORCID 0000-0002-8795-4362
Centro Universitário Fundação Assis Gurgacz · BRSociedade Brasileira de Cardiologia · BRUniversidade Estadual do Oeste do Paraná · BRUniversidade Tecnológica Federal do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in the creatinine levels of patients who have undergone contrast-enhanced computed tomography (CT) has been adopted as a practical method for assessment of possible kidney damage caused by the contrast. Criteria employed include an absolute increase in serum creatinine ≥ 0.5 mg/dL or a relative increase ≥ 25% as indicative of possible renal disorders, such as contrast-induced nephropathy (CIN). Our objective was to analyze the incidence of CIN by means of a meta-analysis of nine articles related to incidence of kidney damage caused by contrast, calculating odds ratios (OR) and confidence intervals (95%CI) using RStudio. The overall incidence of CIN in patients who had CT scans was 11.29%, with an OR of 1.38 (95%CI 0.88-2.16). Non-ionic contrasts are safer than other types of contrast, and volumes exceeding 115 mL may be associated with CIN. Preexisting kidney disease had a statistically significant relationship with worse CIN rates.

Indexed as

contrast mediakidney diseasestomography

Identifiers

PMID34267786
PMCPMC8256998
OpenAlexW3181240556

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.