Evidence map›Paper›PMID 40695248›Full record

ReviewActa haematologica2026

Global Challenges in Paediatric Acute Lymphoblastic Leukaemia.

Shekhar Krishnan, Vaskar Saha

Abstract readReview
In one paragraph

Review in Acta haematologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

2 authors.

Shekhar KrishnanTata Translational Cancer Research Centre, Tata Medical Center, Kolkata, India.
Vaskar SahaTata Translational Cancer Research Centre, Tata Medical Center, Kolkata, India, v.saha@manchester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Background: Acute lymphoblastic leukaemia (ALL) is the commonest paediatric cancer and represents a fifth of adult leukaemias. Global outcome disparities are linked to variations in socio-demographic indices (SDIs). Summary: In high-SDI regions, established collaborative groups report cure rates surpassing 90% in paediatric ALL. The focus is on reducing treatment toxicity using chemotherapy-free strategies, principally T-cell-directed immunotherapies and targeted small molecules, as exemplified in adult Philadelphia-chromosome-positive ALL. High cure rates limit testing of novel approaches outside niche subgroups, while high costs preclude wider real-world adoption of these advances. Mid-SDI regions (50-80% cure) face challenges in fully implementing contemporary risk-adapted therapy to improve outcomes and reduce costs. This necessitates collaborative practice, standardised high-quality risk-stratification diagnostics, and access to quality-assured generic cytotoxics. Low-SDI regions (<50% cure) report rising disease burden and face more fundamental challenges, including timely diagnosis, access to treatment and expertise, and minimising toxicity and abandonment. Solutions require locally adapted protocols, collaborative partnerships, and sustained patient-support programmes. Key Message: Global partnerships across SDI regions are crucial to address shared challenges in ALL, including access to affordable quality therapeutics, continuing refinement of established treatment elements, tailoring biomarkers for diverse populations, and collaborative frameworks to evaluate new treatments, technologies, and treatment paradigms. </p>.

Indexed as

Precursor Cell Lymphoblastic Leukemia-LymphomaChildGlobal HealthHumansAcute lymphoblastic leukaemiaChallengesGlobal burdenOutcomes

Identifiers

PMID40695248
PMCPMC12503567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.