Evidence mapPaperPMID 40366406Full record

ArticlePediatric nephrology (Berlin, Germany)2025

Outcomes of continuous kidney replacement therapy in pediatric patients: the impact of timing and predictors of mortality.

Abdulsalam S Alrashdi, Jasir N Alshammari, Sulaiman K Abdullah, Sulaiman I Alqannas, Hassan Faqeehi, Sawsan Albatati, Khawla A Rahim, Ibrahim A Sandokji, Abdulkarim S Alanazi, Saeed M Alzabali

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Clinical Profile and Survival Outcomes of Children with Acute Kidney Injury Requiring Renal Replacement Therapy: A Retrospective Study from a Tertiary Pediatric Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    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

10 authors.

Abdulsalam S AlrashdiPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Jasir N AlshammariPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Sulaiman K AbdullahPediatric Department, College of Medicine, Taibah University, Madinah, Saudi Arabia.
Sulaiman I AlqannasMaternity and Children's Hospital, Hail City, Saudi Arabia.
Hassan FaqeehiPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Sawsan AlbatatiPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Khawla A RahimPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Ibrahim A SandokjiPediatric Department, College of Medicine, Taibah University, Madinah, Saudi Arabia.
Abdulkarim S AlanaziPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Saeed M AlzabaliPediatric Nephrology Section, Department of Pediatric Subspecialties, Children Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia. alzablis@ymail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile critically ill children receiving continuous kidney replacement therapy (CKRT) are at increased risk of mortality, few studies have examined the predictors of mortality in this population. This study aimed to evaluate CKRT outcomes, focusing on predictors of mortality.

methodsThis cohort study included children aged 0-14 years who received CKRT. It collected baseline, clinical, and laboratory data. Descriptive analyses were performed. Least absolute shrinkage and selection operator (LASSO) regression was used to select the best predictors of mortality. A multivariable logistic regression model was constructed and validated with 1000 bootstraps.

resultsThis study included 113 children who received CKRT, of whom 83 (73.5%) survived and 30 (26.6%) died. Children admitted to the intensive care unit with a higher Pediatric Risk of Mortality III score, sepsis, longer intubation, or hypoalbuminemia (< 30 g/dL) were more likely to die. Multifactorial acute kidney injury was more common in those who died than in those who survived (83.3% vs. 31.3%, p < 0.01). As the exclusive indication for CKRT, fluid overload was more common in those who died than in those who survived (26.7% vs. 6.0%, p = 0.01). LASSO and multivariable regression models identified hemodynamic instability, as evidenced by inotropic support use, and abnormal coagulation, as evidenced by not using heparin anticoagulation, as independent predictors of mortality. Initiating CKRT late (> 48 h) was associated with mortality in the univariate but not the multivariate analysis.

conclusionsHemodynamic instability was the best predictor of mortality in critically ill children receiving CKRT.

Indexed as

Acute Kidney InjuryContinuous Renal Replacement TherapyCritical IllnessAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornIntensive Care Units, PediatricMaleRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeAcute kidney injuryContinuous kidney replacement therapy (CKRT)Critically ill childrenMortalityPediatrics

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.