Evidence map›Paper›PMID 38339312›Full record

ArticleCancers2024

Severe Acute Kidney Injury in Hospitalized Cancer Patients: Epidemiology and Predictive Model of Renal Replacement Therapy and In-Hospital Mortality.

Roberto Calças Marques, Marina Reis, Gonçalo Pimenta, Inês Sala, Teresa Chuva, Inês Coelho, Hugo Ferreira, Ana Paiva, José Maximino Costa

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Roberto Calças MarquesNephrology Department, Centro Hospitalar Universitário do Algarve, 8000 Faro, Portugal.ORCID 0000-0001-7630-9555
Marina ReisNephrology Department, Centro Hospitalar Universitário de Coimbra, 3004 Coimbra, Portugal.ORCID 0000-0003-3061-3767
Gonçalo PimentaNephrology Department, Centro Hospitalar de Lisboa Ocidental, 2790 Lisboa, Portugal.
Inês SalaNephrology Department, Centro Hospitalar Universitário de Santo António, 4050 Porto, Portugal.ORCID 0000-0003-3316-221X
Teresa ChuvaNephrology Department, Instituto Português de Oncologia do Porto, 4200 Porto, Portugal.ORCID 0000-0003-4002-0965
Inês CoelhoNephrology Department, Instituto Português de Oncologia do Porto, 4200 Porto, Portugal.ORCID 0000-0003-4240-8082
Hugo FerreiraNephrology Department, Instituto Português de Oncologia do Porto, 4200 Porto, Portugal.
Ana PaivaNephrology Department, Instituto Português de Oncologia do Porto, 4200 Porto, Portugal.
José Maximino CostaNephrology Department, Instituto Português de Oncologia do Porto, 4200 Porto, Portugal.ORCID 0000-0002-0408-7057
IPO Porto · PTAlgarve Biomedical Center · PTCentro Hospitalar de Lisboa Ocidental · PTHospitais da Universidade de Coimbra · PTHospital de Santo António · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a common complication among cancer patients, often leading to longer hospital stays, discontinuation of cancer treatment, and a poor prognosis. This study aims to provide insight into the incidence of severe AKI in this population and identify the risk factors associated with renal replacement therapy (RRT) and in-hospital mortality.

methodsThis retrospective cohort study included 3201 patients with cancer and severe AKI admitted to a Comprehensive Cancer Center between January 1995 and July 2023. Severe AKI was defined according to the KDIGO guidelines as grade ≥ 2 AKI with nephrological in-hospital follow-up. Data were analyzed in two timelines: Period A (1995-2010) and Period B (2011-2023).

resultsA total of 3201 patients (1% of all hospitalized cases) were included, with a mean age of 62.5 ± 17.2 years. Solid tumors represented 75% of all neoplasms, showing an increasing tendency, while hematological cancer decreased. Obstructive AKI declined, whereas the incidence of sepsis-associated, prerenal, and drug-induced AKI increased. Overall, 20% of patients required RRT, and 26.4% died during hospitalization. A predictive model for RRT (AUC 0.833 [95% CI 0.817-0.848]) identified sepsis and hematological cancer as risk factors and prerenal and obstructive AKI as protective factors. A similar model for overall in-hospital mortality (AUC 0.731 [95% CI 0.71-0.752]) revealed invasive mechanical ventilation (IMV), sepsis, and RRT as risk factors and obstructive AKI as a protective factor. The model for hemato-oncological patients' mortality (AUC 0.832 [95% CI 0.803-0.861]) included IMV, sepsis, hematopoietic stem cell transplantation, and drug-induced AKI. Mortality risk point score models were derived from these analyses.

conclusionsThis study addresses the demographic and clinical features of cancer patients with severe AKI. The development of predictive models for RRT and in-hospital mortality, along with risk point scores, may play a role in the management of this population.

Indexed as

acute kidney injurycancerepidemiologymortalityrenal replacement therapy

Identifiers

PMID38339312
PMCPMC10854720
OpenAlexW4391375877

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.