Evidence map›Paper›PMID 41986693›Full record

ArticleBJC reports2026

Disparities in blood cancer survival in the UK 2009-2019: national cohort studies.

Janice Hoang, Joshua Allen, Rebecca Capel, Rebecca Thomas, Stephanie Smits, Rubina Ahmed, Hilary Webb, Aziz Sheikh, Sally Cox, Ceri Bygrave and 1 more

Abstract read
In one paragraph

Article in BJC reports, 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

11 authors.

Janice HoangCancer Division, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK. j.hoang@leeds.ac.uk.ORCID http://orcid.org/0009-0003-4821-5115
Joshua AllenDigital Health and Care Wales, Cardiff, UK.
Rebecca CapelDigital Health and Care Wales, Cardiff, UK.
Rebecca ThomasObservatory and Cancer Analytical Team, Public Health Wales, Cardiff, UK.
Stephanie SmitsWelsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK.
Rubina AhmedBlood Cancer Wales, Cardiff, UK.
Hilary WebbBlood Cancer Wales, Cardiff, UK.
Aziz SheikhPrimary Care Epidemiology Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Sally CoxDigital Health and Care Wales, Cardiff, UK.
Ceri BygraveUniversity Hospital of Wales, Cardiff, UK.
Julia Hippisley-CoxQueen Mary University of London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstarct

backgroundBlood cancers are among the most common and deadliest in the UK, affecting over 40,000 people annually. Survival varies by subtype, but this is not routinely reported for the UK. This study estimated survival for haematological malignancies in the UK stratified by time period, age, sex, ethnicity, deprivation, and rurality.

methodsFour retrospective cohorts of patients aged 15-99 diagnosed with haematological malignancies (2009-2019) across UK cancer registries were used to estimate 1-, 5-, and 10-year net survival by subtype.

resultsWe identified 413,286 blood cancer cases. Survival in all blood cancer combined significantly improved in England (3.8%), Northern Ireland (5.1%), and Wales (3%), but not Scotland. Men had ≥3% lower survival than women in many subtypes. Older age and higher deprivation were significantly linked to lower survival. In England, white ethnic groups had ≥3% lower survival than non-white groups for myelodysplastic syndrome, myeloid malignancies, plasma cell neoplasms, myeloproliferative neoplasms. In Wales, rural areas showed ≥3% higher survival than urban and mixed regions for lymphoid malignancies, myeloid malignancies, plasma cell neoplasms, Hodgkin lymphoma, mature B-cell neoplasms, acute myeloid leukaemia.

conclusionNet survival varied markedly by subtype and demographic factors across the UK. Given possible differences in case ascertainment, findings are descriptive and hypothesis‑generating.

Identifiers

PMID41986693
PMCPMC13083837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.