Evidence map›Paper›PMID 41628927›Full record

ArticleBMJ open2026

Adult survivors of sickle cell disease, transfusion-dependent beta-thalassaemia and childhood acute leukaemia in England: protocol for a mixed methods data linkage and health-related quality of life survey study.

Khalid Ahmed, Ivana Holloway, Kate Absolom, Samantha J Mason, Ruben Mujica-Mota, Georgios Gkountouras, Adam Martin, Thuvia Flannery, Michael Richards, Emma Astwood and 14 more

Abstract read
In one paragraph

Article in BMJ open, 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

24 authors.

Khalid AhmedSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK xbhn409@leeds.ac.uk.
Ivana HollowayLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.
Kate AbsolomLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-5477-6643
Samantha J MasonLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-0306-8353
Ruben Mujica-MotaAcademic Unit of Heath Economics, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Georgios GkountourasAcademic Unit of Heath Economics, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Adam MartinAcademic Unit of Heath Economics, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Thuvia FlanneryLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.
Michael RichardsDepartment of Haematology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Emma AstwoodDepartment of Haematology, Sheffield Children's Hospital NHS Foundation Trust, Sheffield, UK.
Sam AckroydDepartment of Haematology, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Brigit GreystokeDepartment of Haematology, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Diana M GreenfieldSchool of Allied Health Professions, Nursing, and Midwifery, University of Sheffield, Sheffield, UK.
Quentin HillDepartment of Haematology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Beki JamesDepartment of Haematology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Michelle Kwok-WilliamsLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Robert D MurrayDepartment of Endocrinology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Clare SamuelsonDepartment of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
David SimcoxDepartment of Haematology, Royal Liverpool University Hospital, Liverpool, UK.
John A SnowdenSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Joseph SharifDepartment of Haematology, Manchester University NHS Foundation Trust, Manchester, UK.
Nandini SadasivamDepartment of Haematology, Manchester University NHS Foundation Trust, Manchester, UK.
Richard FeltbowerLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-1728-9408
Adam GlaserLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent advances in treatment and care have improved survival rates for children and young adults with severe blood disorders such as sickle cell disease (SCD), transfusion-dependent beta-thalassaemia (TDT) and acute leukaemia. However, their quality of life and reproductive and psychosocial outcomes are not yet well studied. For SCD and TDT, robust survival data are mainly limited to North America. Thus, there is a need to fill these knowledge gaps to guide improvements in care, address unmet clinical needs and rigorously assess the efficacy of emerging novel therapies. METHODS AND ANALYSIS: This is an observational population-based mixed-methods study of individuals diagnosed with SCD, TDT or acute leukaemia when under the age of 18 in England, involving a data linkage component and a patient-reported outcomes measures survey. Data linkage-eligible participants will be identified from national and regional databases, including the Hospital Episode Statistics, Yorkshire Specialist Register of Cancer in Children & Young People and the National Congenital Anomaly and Rare Diseases Registration Service. Data linkage will be processed within the NHS England and the University of Leeds' secure, trusted research environments. Data will be accessed without consent under section 251 and approval by the confidentiality advisory group. It will assess survival rates for SCD and TDT as well as clinical, educational and mental health outcomes for SCD, TDT and acute leukaemia diagnosed in childhood.Survey-eligible participants for SCD, TDT and acute leukaemia cohorts will be checked for their suitability to participate by the North of England clinical care teams. An NHS-approved survey provider will facilitate data checks with the NHS National Data Opt-Out Service. Consent is required for participation in the survey and for subsequent data linkage to existing databases. Surveys are conducted in various formats (online, paper and phone), with reminders sent after 21 days. The survey will assess quality of life and psychosocial and reproductive outcomes. Participants can withdraw at any time, and support is available via telephone helplines. ETHICS AND DISSEMINATION: The study has received ethical and information governance approval from the Health Research Authority (Reference 24/YH/0186) and the Confidentiality Advisory Group (CAG 24/CAG/0138) to process identifiable data without consent. Study results will be available to patients, physicians, researchers, stakeholders and others through open-access publishing, results sharing via media platforms and presentations at conferences and meetings.

Indexed as

Anemia, Sickle Cellbeta-ThalassemiaLeukemiaQuality of LifeSurvivorsAdolescentAdultBlood TransfusionChildChild, PreschoolEnglandFemaleHumansMaleObservational Studies as TopicPatient Reported Outcome MeasuresAnaemiaHEALTH ECONOMICSLeukaemiaMENTAL HEALTHQuality of LifeSurvival

Identifiers

PMID41628927
PMCPMC12878245

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.