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Record W4411405907 · doi:10.1055/a-2627-2045

Evaluating Risk Factors for Lethality in Posterior Reversible Encephalopathy Syndrome following Hematopoietic Stem Cell Transplantation in Pediatric Patients: A Systematic Review and Individual Participant Data Meta-analysis

2025· review· en· W4411405907 on OpenAlexaboutno aff
Mohammadreza Padooiy Nooshabadi, Hossein Akbarnataj Bishe, Seyyed Amir Yasin Ahmadi, Marzieh Eshagh, Maryam Behfar, Leila Jafari, Amir Ali Hamidieh

Bibliographic record

VenueNeuropediatrics · 2025
Typereview
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePosterior reversible encephalopathy syndromeHematopoietic stem cell transplantationPediatricsPopulationTransplantationInternal medicineMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Abstract Hematopoietic stem cell transplantation (HSCT) is frequently the sole curative treatment for a range of hematologic and nonhematologic disorders. One of the most notable neurological complications associated with HSCT is posterior reversible encephalopathy syndrome (PRES), which affects approximately 1 to 10% of pediatric recipients. Although usually reversible, PRES can lead to serious morbidity and lethality. This systematic review and individual participant data (IPD) meta-analysis aims to evaluate risk factors for lethality and characterize the clinical course of PRES in pediatric HSCT patients. Studies reporting PRES in pediatric HSCT recipients with data on outcomes and risk factors were included. Data were sourced from PubMed, Web of Science, Scopus, and Embase (last search: October 20, 2024). IPD were extracted from articles or requested from corresponding authors. Risk of bias was assessed using the Newcastle–Ottawa Scale. A one-stage IPD meta-analysis evaluated associations between risk factors and lethality and descriptive analyses reported the clinical course of PRES in the included population. Among 175 pediatric patients with PRES across 15 studies, the mean age was 8.68 years, and 64.8% were male. PRES occurred on average 73.08 days post-HSCT presenting with seizures (90.3%), hypertension (87.8%), altered mental status (31.9%), headache (28.5%), visual disturbances (27.1%), and atypical presentations (24.3%). Neuroimaging findings indicated that 12.3% of cases involved only anterior or posterior brain circulation, while most (75.4%) demonstrated dual circulation involvement, with bilateral cerebral involvement observed in 89.8% of patients. The overall lethality rate was 32.5%. The meta-analysis reported an overall prevalence of 7% for PRES among pediatric recipients of HSCT. The IPD meta-analysis revealed no significant associations between lethality and factors such as age (p = 0.590), sex (p = 0.516), atypical PRES presentations (p = 0.642), or the specific cerebral circulation involved (p = 0.758). Conversely, acute graft-versus-host disease demonstrated a trend toward statistical significance for association with lethality (p = 0.056). Additionally, underlying malignant disease (odds ratio [OR]: 2.635, 95% confidence interval [95% CI]: 1.256–5.529, p = 0.01), the use of cord blood as a cell source (OR: 5.692, 95% CI: 1.241–26.109, p = 0.025), and transplantation from an unrelated donor (OR: 4.948, 95% CI: 2.176–11.249, p < 0.001) were significantly associated with increased lethality risk. Malignant underlying disease, cord blood transplantation, and unrelated donors significantly increase lethality risk in pediatric HSCT recipients with PRES. These findings underscore the importance of tailored management strategies to identify and monitor at-risk pediatric HSCT recipients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.038
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.323
GPT teacher head0.409
Teacher spread0.085 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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