Evidence map›Paper›PMID 37509381›Full record

ArticleCancers2023

Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant.

Natacha Rodrigues, Mariana Fragão-Marques, Cláudia Costa, Carolina Branco, Filipe Marques, Pedro Vasconcelos, Carlos Martins, Adelino Leite-Moreira, José António Lopes

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. 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 23% 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, 3 citations in OpenAlex.

  1. Review
  2. Article
  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

9 authors at 2 institutions in 1 country.

Natacha RodriguesDivision of Nephrology and Renal Transplantation, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.
Mariana Fragão-MarquesUnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4099-002 Porto, Portugal.
Cláudia CostaDivision of Nephrology and Renal Transplantation, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.ORCID 0000-0002-6468-1306
Carolina BrancoDivision of Nephrology and Renal Transplantation, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.ORCID 0000-0002-3073-0253
Filipe MarquesDivision of Nephrology and Renal Transplantation, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.ORCID 0000-0002-7772-7342
Pedro VasconcelosDivision of Hematology, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.
Carlos MartinsDivision of Hematology, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.
Adelino Leite-MoreiraUnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4099-002 Porto, Portugal.
José António LopesDivision of Nephrology and Renal Transplantation, Centro Hospitalar Universitário Lisboa Norte, EPE, 1649-028 Lisboa, Portugal.ORCID 0000-0001-5563-5132
Centro Hospitalar Lisboa Norte · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic stem cell transplant (HSCT) is an important treatment option for hematologic malignancies. Acute kidney injury (AKI) is a common complication in HSCTs and is related to worse outcomes. We aimed to create a predictive risk score for AKI in HSCT considering variables available at the time of the transplant. We performed a retrospective cohort study. AKI was defined by the KDIGO classification using creatinine and urinary output criteria. We used survival analysis with competing events. Continuous variables were dichotomized according to the Liu index. A multivariable analysis was performed with a backward stepwise regression. Harrel's C-Statistic was used to evaluate the performance of the model. Points were attributed considering the nearest integer of two times each covariate's hazard ratio. The Liu index was used to establish the optimal cut-off. We included 422 patients undergoing autologous (61.1%) or allogeneic (38.9%) HSCTs for multiple myeloma (33.9%), lymphoma (27.3%), and leukemia (38.8%). AKI cumulative incidence was 59.1%. Variables eligible for the final score were: hematopoietic cell transplant comorbidity index ≥2 (HR: 1.47, 95% CI: 1.08-2.006;

Indexed as

predictive risk scorerisk factorsstem cell transplant

Identifiers

PMID37509381
PMCPMC10377961
OpenAlexW4385224252

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.