Evidence map›Paper›PMID 36753015›Full record

ArticleInternational urology and nephrology2023

Renal arterial resistive index, monocyte chemotactic protein 1 and neutrophil gelatinase-associated lipocalin, for predicting acute kidney injury in critically ill cancer patients.

Bertha M Córdova-Sánchez, Silvio A Ñamendys-Silva, Irlanda Pacheco-Bravo, Francisco Javier García-Guillén, Juan Manuel Mejía-Vilet, Cristino Cruz, Gustavo Barraza-Aguirre, Walter Oswaldo Ramírez-Talavera, Adán R López-Zamora, Fernando Monera-Martínez and 2 more

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In one paragraph

Article in International urology and nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

Bertha M Córdova-SánchezInstituto Nacional de Cancerología, Mexico City, Mexico.
Silvio A Ñamendys-SilvaInstituto Nacional de Cancerología, Mexico City, Mexico.
Irlanda Pacheco-BravoInstituto Nacional de Cancerología, Mexico City, Mexico.
Francisco Javier García-GuillénInstituto Nacional de Cancerología, Mexico City, Mexico.
Juan Manuel Mejía-ViletNephrology Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Sección XVI, Tlalpan, C. P. 14080, Mexico City, Mexico.
Cristino CruzNephrology Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Sección XVI, Tlalpan, C. P. 14080, Mexico City, Mexico.
Gustavo Barraza-AguirreInstituto Nacional de Cancerología, Mexico City, Mexico.
Walter Oswaldo Ramírez-TalaveraInstituto Nacional de Cancerología, Mexico City, Mexico.
Adán R López-ZamoraInstituto Nacional de Cancerología, Mexico City, Mexico.
Fernando Monera-MartínezInstituto Nacional de Cancerología, Mexico City, Mexico.
Luis Jesús Vidal-ArellanoInstituto Nacional de Cancerología, Mexico City, Mexico.
Luis Eduardo Morales-BuenrostroNephrology Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Sección XVI, Tlalpan, C. P. 14080, Mexico City, Mexico. luis_buenrostro@yahoo.com.ORCID http://orcid.org/0000-0002-7227-484X
Instituto Nacional de Cancerología · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the renal arterial resistive index (RRI), urine monocyte chemotactic protein 1 (uMCP-1), and urine neutrophil gelatinase-associated lipocalin (uNGAL) to predict acute kidney injury (AKI) in critically ill cancer patients.

methodsIn this prospective study, we included patients without AKI. We compared the area under the curve (AUC) of RRI, uMCP-1, and uNGAL to predict any stage of AKI and stage-3 AKI with the DeLong method, and we established cutoff points with the Youden index.

resultsWe included 64 patients, and 43 (67.2%) developed AKI. The AUC to predict AKI were: 0.714 (95% CI 0.587-0.820) for the RRI, 0.656 (95% CI 0.526-0.770) for uMCP-1, and 0.677 (95% CI 0.549-0.789) for uNGAL. The AUC to predict stage-3 AKI were: 0.740 (95% CI 0.615-0.842) for the RRI, 0.757 (95% CI 0.633-0.855) for uMCP-1, and 0.817 (95% CI 0.701-0.903) for uNGAL, without statistical differences among them. For stage 3 AKI prediction, the sensitivity and specificity were: 56.3% and 87.5% for a RRI > 0.705; 70% and 79.2% for an uMCP-1 > 2169 ng/mL; and 87.5% and 70.8% for a uNGAL > 200 ng/mL. The RRI was significantly correlated to age (r = 0.280), estimated glomerular filtration rate (r = - 0.259), mean arterial pressure (r = - 0.357), and serum lactate (r = 0.276).

conclusionThe RRI, uMCP-1, and uNGAL have a similar ability to predict AKI. The RRI is more specific, while urine biomarkers are more sensitive to predict stage 3 AKI. The RRI correlates with hemodynamic variables. The novel uMCP-1 could be a useful biomarker that needs to be extensively studied.

Indexed as

Acute Kidney InjuryNeoplasmsBiomarkersChemokine CCL2Critical IllnessHumansLipocalin-2Prospective StudiesBiomarkersCCL2 protein, humanChemokine CCL2LCN2 protein, humanLipocalin-2Acute kidney injuryCancerCritical careMonocyte chemotactic protein-1Neutrophil gelatinase-associated lipocalinRenal arterial resistive index

Identifiers

PMID36753015
OpenAlexW4319458928

What OpenQuestion holds

Textmetadata
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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.