Evidence map›Paper›PMID 41827773›Full record

ReviewCancers2026

Challenges and Advances in the Detection of Leukemic Blasts in Cerebrospinal Fluid in Pediatric Acute Lymphoblastic Leukemia.

Zhongbo Hu, Shuyu E

Abstract readReview
In one paragraph

Review in Cancers, 2026. 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
–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. Review
  2. Review
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

2 authors.

Zhongbo HuPediatric Hematology and Oncology, Haley Center for Children's Cancer and Blood Disorders, Orlando Health Arnold Palmer Hospital for Children, Orlando, FL 32806, USA.ORCID 0000-0002-8935-0626
Shuyu EDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system (CNS) evaluation for leukemic involvement is essential both at initial diagnosis and throughout relapse surveillance in childhood acute lymphoblastic leukemia (ALL). Accurate CNS risk classification is a cornerstone of individualized chemotherapy and has significantly advanced treatment strategies. However, detecting leukemic cells in the cerebrospinal fluid (CSF) is challenging, particularly when only a small number of cells are present. While cytomorphology remains a standard diagnostic method, it is limited by low sensitivity and interobserver variability, especially in low-cellularity or equivocal samples. Flow cytometry offers superior sensitivity and specificity and is increasingly recommended to confirm or clarify ambiguous findings. Current guidelines support the use of both cytomorphologic review and flow cytometry to maximize diagnostic accuracy. Evidence consistently demonstrates that any detectable CSF blasts-even in the setting of low WBC counts-are associated with increased risk of CNS relapse and poorer outcomes, underscoring the importance of risk-adapted CNS-directed therapy. Although the prognostic significance of isolated flow-only positivity remains under study, emerging data suggest that timely therapeutic intensification may mitigate adverse outcomes. Additional modalities, including advanced flow cytometry and molecular assays, may further refine CSF assessment in the future. This review summarizes current diagnostic approaches and highlights the need for standardized protocols for CSF evaluation in pediatric ALL.

Indexed as

central nervous system leukemiacytomorphologyddPCRflow cytometrynext generation sequencingqPCRterminal deoxynucleotidyl transferase

Identifiers

PMID41827773
PMCPMC12984855

What Socratic holds

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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 Socratic graph.