Evidence map›Paper›PMID 40155589›Full record

ReviewMolecular diagnosis & therapy2025

Bridging the Gap: Cost-Effective Strategies for Detecting Ph-Like B-Lineage ALL in Resource-Limited Settings.

Dikshat Gopal Gupta, Monika, Neelam Varma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
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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

3 authors.

Dikshat Gopal GuptaDepartment of Urology and Pathology, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA. dixitgupta25@gmail.com.ORCID 0000-0002-9449-7585
MonikaDepartment of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Neelam VarmaDepartment of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) is a complex hematologic disorder primarily affecting children, characterized by genetic mutations that disrupt normal lymphoid cell differentiation and promote abnormal proliferation. A particularly high-risk subtype, Philadelphia chromosome-like ALL (Ph-like ALL), mirrors the genetic profile of Philadelphia chromosome-positive (Ph-positive) ALL but lacks the BCR::ABL1 fusion gene. While Ph-like ALL has been extensively studied in high-income countries (HICs), it remains under-researched in low- and middle-income countries (LMICs), where resource limitations hinder accurate diagnosis and targeted therapy. This review addresses this gap by providing a comprehensive overview of the incidence, genetic landscape, and detection strategies for Ph-like ALL, with a special focus on LMICs. It underscores the prevalence of Ph-like ALL and its association with poor clinical outcomes, emphasizing the critical need for cost-effective diagnostic methodologies tailored to resource-constrained settings. Despite advancements in diagnostic technologies, such as whole gene expression profiling and next-generation sequencing, their high cost and extended turnaround times limit their feasibility in LMICs. Innovative methods, such as the PGIMER In-House Rapid and Cost-Effective (PHi-RACE) classifier, which employs real-time quantitative polymerase chain reaction (PCR), offer promising solutions by delivering high sensitivity and specificity at a significantly reduced cost. This approach is further complemented using fluorescence in situ hybridization (FISH) to characterize kinase alterations, enabling the identification of targeted therapies. This method addresses the urgent need for accessible diagnostic tools in LMICs, enabling early detection and personalized treatment planning. As the landscape of Ph-like ALL detection evolves, integrating low-cost, rapid-turnaround approaches holds significant promise for improving patient outcomes globally. This review aims to highlight the challenges and opportunities in diagnosing and treating Ph-like ALL in LMICs, fostering efforts towards more accessible and effective diagnostic strategies to enhance patient care and prognosis.

Indexed as

Philadelphia ChromosomePrecursor B-Cell Lymphoblastic Leukemia-LymphomaCost-Benefit AnalysisDeveloping CountriesFusion Proteins, bcr-ablHigh-Throughput Nucleotide SequencingHumansMutationResource-Limited SettingsFusion Proteins, bcr-abl

Identifiers

What OpenQuestion holds

Textmetadata
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.