Evidence map›Paper›PMID 41458608›Full record

ReviewFrontiers in oncology2025

Sub specialization and centralization of pediatric neuro-oncology services: a strategy to improve outcomes in low-resource settings.

Abigail Baker, Vasudeva Bhat K, Daniel C Moreira, Ibrahim Qaddoumi

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Abigail Baker *College of Natural and Health Sciences, Southeastern University, Lakeland, FL, United States.
Vasudeva Bhat K *Department of Pediatric Oncology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Daniel C MoreiraDepartment of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, United States.
Ibrahim QaddoumiDepartment of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Subspecialization and centralization increase the quality of care in many medical subspecialties. It is expected to be standard of care in high-income countries. However, studies addressing the effect of subspecialization and centralization on the quality of pediatric neuro-oncology care in low-resource settings are lacking. Methods: We determined the impact of subspecialization and centralization of pediatric neuro-oncology services on quality of care, survival outcomes, and quality of life by searching the Medline/PubMed literature database to identify relevant articles. We conducted this search using multiple English terms and keywords. Results: Pediatric brain tumors are rare, and the care of pediatric neuro-oncology patients is complex and requires a multidisciplinary team. Established pediatric neuro-oncology programs greatly increase patient survival, outcomes, quality of care, and hospital volume. Barriers to centralization may include the distance to travel and the financial burden of that travel, which could lead to underserved populations. Conclusions: Subspecialization and centralization of pediatric neuro-oncology services improves quality of care and patient outcome. More prospective research in this area is needed to determine the true impact of subspecialization and centralization in pediatric neuro-oncology in low-resource settings.

Indexed as

centralizationLMIC (low and middle income countries)neuro oncologypediatric neuro-oncologysubspecialization

Identifiers

PMID41458608
PMCPMC12740897

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Registered trials

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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.