Evidence map›Paper›PMID 42761778›Full record

ReviewFrontiers in oncology2026

Clinical evidence and biological mechanisms linking obesity to adverse outcomes in pediatric and adolescent acute lymphoblastic leukemia.

Cate Cheney, Elyse Page, David Yeung, Deborah White

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cate CheneyTargeted Leuakemia Research Group, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
Elyse PageTargeted Leuakemia Research Group, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
David YeungTargeted Leuakemia Research Group, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
Deborah WhiteTargeted Leuakemia Research Group, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review critically evaluated the relationship between obesity and survival outcomes in Acute Lymphoblastic Leukemia (ALL), highlighting key evidence gaps and exploring the biological mechanisms that may contribute to this association. In patients with ALL, obesity is consistently associated with a higher incidence of severe treatment-related toxicities, increased frequency of therapy delays, and reduced event-free survival. This connection is most pronounced in pediatric and adolescent ALL populations, whereas evidence supporting a similar effect in adults remains limited. Proposed biological mechanisms underlying these adverse outcomes include increased bone marrow adiposity, chronic low-grade inflammation, dysregulated insulin signaling and obesity-associated alterations in the gut microbiome. The current body of evidence identifies obesity as a clinically significant risk factor that defines a vulnerable subgroup of ALL patients, supporting the need for enhanced toxicity surveillance, individualized treatment strategies, and optimized supportive care interventions. Elucidation of the biological pathways linking obesity to adverse ALL outcomes may also inform the development of novel therapeutic approaches aimed at mitigating obesity-driven morbidity and mortality in this high-risk population.

Indexed as

acute lymphoblastic leukemiabody mass indexmetabolic dysregulationobesitytreatment delay

Identifiers

PMID42761778
PMCPMC13587130

What OpenQuestion holds

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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.