ArticleBone marrow transplantation2019
Net reclassification improvement with serial biomarkers and bed-sided spirometry to early predict the need of organ support during the early post-transplantation in-hospital stay in allogeneic HCT recipients.
Article in Bone marrow transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- A Comparison of Clinical Prognostic Indices in Elderly Patients with Diffuse Large B-Cell Lymphoma Treated with a Pegylated Liposomal Doxorubicin Combination Regimen in China.Cancer management and research · 2022Article
- Quantitative inspiratory-expiratory chest CT to evaluate pulmonary involvement in pediatric hematopoietic stem-cell transplantation patients.Pediatric pulmonology · 2021Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To predict the need of intensive care unit admission with organ support during the transplantation hospital stay in 101 consecutives allogeneic hematopoietic cell transplantation (allo-HCT) recipients the added predictive utility of three times per week Copeptin, MR-proADM, MR-proANP, NT-proBNP, IL-6, Procalcitonin, D-dimer and three times per week bed-sided pulmonary function test was determined in comparison with an index model. The index model was calculated by multivariate regression analysis out of the patients' routine laboratory parameters. To calculate the added predictive utility of the investigated markers the Δ-AUC and the continuous net reclassification improvement (cNRI + 2 to - 2), splitted for events and non-events were calculated for each marker in comparison with the index model. According to the Δ-AUC, none of the parameters improved risk prediction. In contrast, the cNRI was significantly improved for events and non-events by Copeptin (event 0.75, p value 0.0013; non-event 0.4, p value 0.000079) and for events by NT-proBNP (0.6, p value 0.018). D-dimer and PCT significantly predicted the non-event. Of the spirometry parameters, the FEF
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