Evidence map›Paper›PMID 37434028›Full record

ArticlePediatric nephrology (Berlin, Germany)2023

A novel risk score for predicting prolonged length of stay following pediatric kidney transplant.

Michael J DiLeo, John J Miggins, Eileen D Brewer, N Thao N Galván, Abbas Rana

Abstract read
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In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Michael J DiLeoDepartment of Student Affairs, Baylor College of Medicine, Houston, TX, USA. Michael.dileo@bcm.edu.ORCID http://orcid.org/0000-0002-0345-031X
John J MigginsDepartment of Student Affairs, Baylor College of Medicine, Houston, TX, USA.
Eileen D BrewerDivision of Pediatric Nephrology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
N Thao N GalvánDivision of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Abbas RanaDivision of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Baylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney transplants (KT) are accepted as the kidney replacement therapy of choice for children with kidney failure. The surgery itself may be more difficult especially in small children, and often leads to significant hospital stays. There is little research on predicting prolonged length of stay (LOS) in children. We aim to examine the factors associated with prolonged LOS following pediatric KT to help clinicians make informed decisions, better counsel families, and potentially reduce preventable causes of prolonged stay.

methodsWe retrospectively analyzed the United Network for Organ Sharing database for all KT recipients less than 18 years old between January 2014 and July 2022 (n = 3693). Donor and recipient factors were tested in univariate and multivariate logistic analysis using stepwise elimination of non-significant factors to create a final regression model predicting LOS longer than 14 days. Values were assigned to significant factors to create risk scores for each individual patient.

resultsIn the final model, only primary diagnosis of focal segmental glomerulosclerosis, dialysis prior to KT, geographic region, and recipient weight prior to KT were significant predictors of LOS longer than 14 days. The C-statistic of the model is 0.7308. The C-statistic of the risk score is 0.7221.

conclusionsKnowledge of the risk factors affecting prolonged LOS following pediatric KT can help identify patients at risk of increased resource use and potential hospital-acquired complications. Using our index, we identified some of these specific risk factors and created a risk score that can stratify pediatric recipients into low, medium, or high risk groups. A higher resolution version of the Graphical abstract is available as Supplementary information.

Indexed as

Kidney TransplantationAdolescentChildHumansLength of StayRenal DialysisRetrospective StudiesRisk FactorsHospital stayKidney transplantLength of stayPediatricsRisk score

Identifiers

PMID37434028
OpenAlexW4383894917

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.