Evidence map›Paper›PMID 39822111›Full record

ArticleBrain pathology (Zurich, Switzerland)2025

Resource availability for CNS tumor diagnostics in the Asian Oceanian region: A survey by the Asian Oceanian Society of Neuropathology committee for Adapting Diagnostic Approaches for Practical Taxonomy in Resource-Restrained Regions (AOSNP-ADAPTR).

Chitra Sarkar, Shilpa Rao, Vani Santosh, Maysa Al-Hussaini, Sung Hye Park, Tarik Tihan, Michael E Buckland, Ho-Keung Ng, Takashi Komori

Abstract read
In one paragraph

Article in Brain pathology (Zurich, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

9 authors.

Chitra SarkarDepartment of Pathology, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000-0002-4315-9316
Shilpa RaoDepartment of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
Vani SantoshDepartment of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
Maysa Al-HussainiDepartment of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan.
Sung Hye ParkDepartment of Pathology, Seoul National University, College of Medicine, Seoul, Republic of Korea.
Tarik TihanDepartment of Pathology, University of California San Francisco, San Francisco, California, USA.
Michael E BucklandDepartment of Neuropathology, Royal Prince Alfred Hospital, Sydney, Australia.
Ho-Keung NgDepartment of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-2614-2213
Takashi KomoriDepartment of Laboratory Medicine and Pathology, Tokyo Metropolitan Neurological Hospital, Tokyo Metropolitan Hospital Organization, Tokyo, Japan.ORCID 0000-0002-6812-2149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The shift toward a histo-molecular approach in World Health Organization classification of central nervous system tumors (WHO CNS5) emphasizes the critical role of molecular testing, such as next-generation sequencing (NGS) and DNA methylation profiling, for accurate diagnosis. However, implementing these advanced techniques is particularly challenging in resource-constrained countries. To address this, the Asian Oceanian Society of Neuropathology committee for Adapting Diagnostic Approaches for Practical Taxonomy in Resource-Restrained Regions (AOSNP-ADAPTR) was initiated to help pathologists in resource-limited regions to implement WHO CNS5 diagnoses using simpler diagnostic tools, mainly immunohistochemistry. An online survey by this group assessed the in-house/local availability of diagnostic resources and outsourcing capabilities across the Asian Oceanian region, covering 19 countries. Of 318 responding centers, the availability of molecular techniques in-house/locally was limited in lower middle-income countries (LMICs), with 29% having fluorescence in situ hybridization, 10.7% Sanger sequencing, and only 9.4% NGS. DNA methylation was largely unavailable in-house/locally in of LMICs, while in the whole region, its availability stood at a meager 4.4%. Though outsourcing for all diagnostic tests was an easily accessible alternative, outsourcing for NGS and DNA methylation was uncommon because of the financial burden on patients being a significant obstacle. The survey categorized centers into five resource levels (RLs) based on the in-house/local access to diagnostic techniques, which highlighted the variability and disparity in diagnostic capabilities across the region. High-income countries had 80% of centers with advanced RL IV, V resources, in contrast to LMICs, where 70.5% of centers fell into RL I-III. This comprehensive evaluation emphasizes the need for tailored resource level guidelines, with the aim of improving diagnostic accuracy and treatment as well as advocating better healthcare infrastructure in resource-constrained areas. However, the survey's reliance on responses from better-resourced centers may underestimate challenges in lower-resource settings, stressing the need for broader outreach and support.

Indexed as

Central Nervous System NeoplasmsNeuropathologyAsiaHealth ResourcesHigh-Throughput Nucleotide SequencingHumansSocieties, MedicalSurveys and QuestionnairesAOSNP‐ADAPTRDNA methylationimmunohistochemistryNGSresource levelsWHO CNS5

Identifiers

PMID39822111
PMCPMC12145896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.