Evidence map›Paper›PMID 42348343›Full record

ArticleEuropean journal of haematology2026

Adapting UK Clinical Practise in Chronic Myeloid Leukaemia in Chronic Phase to Contemporary Management Recommendations: The ADAPT 2.0 Survey.

Dragana Milojkovic, Nicholas C P Cross, Ketul Desai, Kathryn Frewin, Mhairi Copland

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Article in European journal of haematology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Dragana MilojkovicCentre for Haematology, Faculty of Medicine, Imperial College London, and Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.ORCID https://orcid.org/0000-0002-0593-8220
Nicholas C P CrossFaculty of Medicine, University of Southampton, Southampton, UK.
Ketul DesaiNovartis Pharmaceuticals Ltd, London, UK.
Kathryn FrewinNovartis Pharmaceuticals Ltd, London, UK.
Mhairi CoplandPaul O'Gorman Leukaemia Research Centre, School of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.

Funding

Novartis Pharmaceuticals UK Limited
6 · The paper itself

Abstract

objectiveChronic myeloid leukaemia in chronic phase (CML-CP) treatment recommendations have changed substantially in recent years. The ADAPT 2.0 survey aimed to provide an updated understanding of CML-CP management in the UK.

methodsThis healthcare professional (HCP) survey, conducted between December 2023 and June 2024, assessed treatment goals, choice of tyrosine kinase inhibitors (TKIs), unmet needs and approaches to treatment-free remission (TFR).

resultsUK CML-CP practise is generally aligned with the contemporary guidelines for CML management. Key treatment goals were major molecular response (54%-77% across treatment lines) and deep molecular response (5%-46%). The main factors influencing first-line (1 L) TKI selection were treatment guidelines (97%), comorbidities (90%) and TFR as a treatment goal (82%). Therapy switch after one warning European LeukemiaNet (ELN) 2020 response was rare (10% vs. 56% in patients with > 1 warning response and 100% in failure response). BCR::ABL1 mutation analysis was less common after one warning response versus > 1 warning response (54% vs. 82%). TKI toxicity, resistance, intolerance and T315I mutation management were key unmet needs in later treatment lines; achieving and maintaining TFR were key unmet needs in 1 L.

conclusionThe ADAPT 2.0 survey highlights potential areas of improvement in current CML-CP management in the UK.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, Chronic-PhasePractice Patterns, Physicians'Disease ManagementFusion Proteins, bcr-ablHumansMutationPractice Guidelines as TopicProtein Kinase InhibitorsSurveys and QuestionnairesTreatment OutcomeUnited KingdomFusion Proteins, bcr-ablProtein Kinase Inhibitorschronic myeloid leukaemiapatient managementsurveyUnited Kingdom

Identifiers

PMID42348343
PMCPMC13542934

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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.