Evidence map›Paper›PMID 39024544›Full record

ArticleBlood advances2024

Impact of patient demographics on treatment outcomes in AML: a population-based registry in England, 2013-2020.

Hanhua Liu, Simon J Stanworth, Sean McPhail, Mark Bishton, Brian Rous, Andrew Bacon, Thomas Coats

Abstract readHistorical Article
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. The global epidemiology of acute myeloid leukaemia.Nature reviews. Clinical oncology · 2026
    Review
  7. Article
  8. Review
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

7 authors.

Hanhua LiuNational Disease Registration Service, NHS England, London, United Kingdom.ORCID 0000-0001-8963-6440
Simon J StanworthNHS Blood and Transplant, Oxford, United Kingdom.ORCID 0000-0002-7414-4950
Sean McPhailNational Disease Registration Service, NHS England, London, United Kingdom.
Mark BishtonTranslational Medical Sciences, University of Nottingham, Nottingham, United Kingdom.
Brian RousNational Disease Registration Service, NHS England, London, United Kingdom.ORCID 0000-0002-7619-461X
Andrew BaconNational Disease Registration Service, NHS England, London, United Kingdom.
Thomas CoatsDepartment of Haematology, Royal Devon and Exeter Hospital, Exeter, United Kingdom.ORCID 0000-0003-4341-4361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractWe report 1- and 5-year survival after acute myeloid leukemia (AML) diagnosis and early mortality within 30 days of systemic anticancer therapy (SACT) treatments, using national cancer registry data in England. Patients aged 18 to 99 years diagnosed between 2013 and 2020 were included. Overall survival (OS) was calculated using Kaplan-Meier methodology, and adjusted hazard ratios (aHRs; adjusted for intensity of treatment, age at diagnosis, sex, ethnicity, socioeconomic deprivation, comorbidity, and year of diagnosis) using Cox proportional hazards regression. Odds of 30-day mortality (adjusted odds ratios [aORs], adjusted for aforementioned characteristics), along with performance status and body mass index, were calculated using logistic regression. Among 17 107 patients identified, older age and comorbidity were associated with worse survival. Asian and Black patients had better survival than White patients: 5-year OS of 34.6%, 29.7%, and 17.8%, respectively; aHR of 0.86; (95% confidence interval [CI], 0.77-0.96) Asian vs White, and 0.84 (95% CI, 0.73-0.96) Black vs White. Socioeconomic deprivation was associated with worse survival. Overall, 7906 (46.2%) patients were documented as having received SACT. Thirty-day mortality was lower for patients receiving intensive rather than nonintensive SACT. After adjustment for cofactors, the risk was higher in those treated intensively (aOR, 0.74; 95% CI, 0.60-0.92). We show that ethnicity and socioeconomic status affects outcomes in AML. Further work is needed to understand how these effects may differ in different health care settings, and whether this because of effects on disease biology, responsiveness to treatment, or drug toxicity. Selection of intensive vs nonintensive treatment should be based on individual patient factors, balancing improved long-term survival against higher early mortality.

Indexed as

Leukemia, Myeloid, AcuteRegistriesAdolescentAdultAgedAged, 80 and overDemographyEnglandFemaleHistory, 21st CenturyHumansMaleMiddle AgedTreatment OutcomeYoung Adult

Identifiers

PMID39024544
PMCPMC11401315

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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.