Evidence map›Paper›PMID 40487914›Full record

ArticleThe Lancet regional health. Southeast Asia2025

Risk stratified treatment for childhood acute lymphoblastic leukaemia: a multicentre observational study from India.

Manash Pratim Gogoi, Parag Das, Nandana Das, Soumyadeep Das, Gaurav Narula, Amita Trehan, Sameer Bakhshi, Venkatraman Radhakrishnan, Rachna Seth, Prashant Tembhare and 8 more

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

18 authors.

Manash Pratim GogoiClinical Research Unit, Tata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700160, India.
Parag DasClinical Research Unit, Tata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700160, India.
Nandana DasClinical Research Unit, Tata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700160, India.
Soumyadeep DasDepartment of Statistics, Bidhannagar College, Kolkata, 700064, India.
Gaurav NarulaDepartment of Pediatric Oncology, Tata Memorial Centre, Tata Memorial Hospital, Mumbai, Maharashtra, 400012, India.
Amita TrehanPediatric Hematology-Oncology Unit, Department of Pediatrics, Advanced Pediatrics Center, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Sameer BakhshiDepartment of Medical Oncology, BR Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India.
Venkatraman RadhakrishnanDepartment of Medical Oncology, Cancer Institute (WIA), Adyar, Chennai, Tamil Nadu, 600020, India.
Rachna SethDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India.
Prashant TembhareHematopathology Laboratory, ACTREC, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, 410210, India.
Man Updesh Singh SachdevaDepartment of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Anita ChopraLaboratory Oncology, All India Institute of Medical Sciences, New Delhi, 110029, India.
Shirley SundersinghDepartment of Oncopathology, Cancer Institute (WIA), Adyar, Chennai, Tamil Nadu, 600020, India.
Mayur PariharCytogenetics Department, Tata Medical Center Kolkata, West Bengal, 700160, India.
Rahul BhattacharyaDepartment of Statistics, University of Calcutta, Kolkata, 700019, India.
Shripad BanavaliDepartment of Pediatric Oncology, Tata Memorial Centre, Tata Memorial Hospital, Mumbai, Maharashtra, 400012, India.
Vaskar SahaClinical Research Unit, Tata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700160, India.
Shekhar KrishnanClinical Research Unit, Tata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700160, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Overall survival rates of children with acute lymphoblastic leukaemia (ALL) in high-income countries approach 90%. Treated on the same protocols, outcomes in India, were ∼65%. Methods: The Indian Childhood Collaborative Leukaemia (ICiCLe) group used genetics and measurable residual disease (MRD) to categorise B-cell precursor (BCP) ALL as standard (SR), intermediate (IR) and high-risk (HR) to receive increasing intensity of therapy. T-ALL were treated uniformly. Data on risk stratification, deaths and relapses were collected annually. Findings: 2695 patients aged 1-18 years were enrolled between January 2013 and May 2018. Induction deaths were significantly lower in SR patients (p = 0·002) compared to others. At a median 61 (59-62) months, the 4-year event free and overall survival was 76% (72-79%) and 88% (85-90%) in SR; 70% (66-74%) and 80% (77-83%) in IR; 61% (51-64%) and 73% (70-76%) in HR; and 69% (62-75%) and 77% (70-83%) in T-ALL patients (p < 0·0001). For BCP-ALL, regression analyses showed age, white cell count, bulky disease, high risk genetics and treating centre as independent prognostic variables. The cumulative incidence of treatment deaths (TRD) and relapses at centres varied from 2% (1-5) to 13% (10-17) (p ≤ 0·0001); and 21% (17-26) to 45% (39-51) (p ≤ 0·0001) respectively with significant differences in proportion of BCP-ALL patients with MRD ≥ 0·01% (p = 0·0007) and time to relapse (p = 0·0001). Interpretation: Risk stratified directed reduced intensity treatment and collaboration decreases treatment deaths and relapses. Standardisation of genetic and MRD tests across centres and access to high quality drugs will lead to further improvements in survival. Funding: DBT-Wellcome; UKIERI, TCS Foundation.

Indexed as

Acute lymphoblastic leukemiaLow middle income countriesPaediatricTreatment

Identifiers

PMID40487914
PMCPMC12142348

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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.