Evidence map›Paper›PMID 42676406›Full record

ArticleFrontiers in oncology2026

Mapping the de-implementation of traditional diagnostic tests in pediatric acute lymphoblastic leukemia.

Marta Salek, Kenneth Busby, Nathaniel Webb, Dylan E Graetz, Charles G Mullighan, Thomas B Alexander, Nickhill Bhakta, Megan C Roberts, Lu Wang

Abstract read
In one paragraph

Article 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

9 authors.

Marta SalekDepartment of Oncology, St Jude Children's Research Hospital, Memphis, TN, United States.
Kenneth BusbyDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States.
Nathaniel WebbDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Dylan E GraetzDepartment of Oncology, St Jude Children's Research Hospital, Memphis, TN, United States.
Charles G MullighanDepartment of Pathology, St Jude Children's Research Hospital, Memphis, TN, United States.
Thomas B AlexanderDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Nickhill BhaktaDepartment of Oncology, St Jude Children's Research Hospital, Memphis, TN, United States.
Megan C Roberts *Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Lu Wang *Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, United States.

Funding

Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
NCI NIH HHS T32 CA057726
6 · The paper itself

Abstract

Introduction: Advances in cancer diagnostics raise questions about when and how to de-implement traditional approaches; however, these processes remain poorly described. At St. Jude Children's Research Hospital (SJCRH), routine conventional cytogenetics for pediatric acute lymphoblastic leukemia (ALL) diagnosis was de-implemented in 2018 following adoption of clinical genomics. This study aimed to map this process to inform future diagnostic de-implementation initiatives. Methods: Interviews were conducted with SJCRH staff involved or impacted by cytogenetics de-implementation. Data were analyzed using thematic and rapid qualitative analysis informed by the Consolidated Framework for Implementation Research. Member-checking was used to verify and refine process maps, which were subsequently reviewed by an external expert panel, representing diverse settings, through focus group discussions. Results: Thirteen SJCRH clinicians participated. De-implementation was described as successful, with no negative impact on patient outcomes. Decision-making began with internal correlation studies that demonstrated superior diagnostic performance of clinical genomics. De-implementation was viewed as a natural evolution that improved molecular classification, resource allocation, and workflow efficiency. Perceived risks included loss of cytogenetics competency, delayed turnaround time, and career insecurity, all addressed institutionally. Lessons learned highlighted the importance of deliberate discussion about logic and evidence supporting de-implementation. Fifteen external experts offered suggestions to improve process map generalizability, highlighting institutional- and system-level considerations. Conclusion: De-implementation of cytogenetics in ALL in favor of clinical genomics was successful at SJCRH. This study offers an example of diagnostic de-implementation in cancer care and proposes a structured approach to guide future efforts. De-implementation should be considered alongside introduction of novel diagnostic approaches.

Indexed as

cancer diagnosticsclinical genomicscytogeneticsde-implementationdiagnostic optimizationpediatric cancerprocess mapping

Identifiers

PMID42676406
PMCPMC13526624

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