Evidence map›Paper›PMID 28419422›Full record

ArticleBritish journal of haematology2017

Early mortality and complications in hospitalized adult Californians with acute myeloid leukaemia.

Gwendolyn Ho, Brian A Jonas, Qian Li, Ann Brunson, Ted Wun, Theresa H M Keegan

Abstract read
In one paragraph

Article in British journal of haematology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. [Frailty in oncogeriatrics].Innere Medizin (Heidelberg, Germany) · 2025
    Review
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  12. Biomarkers of bleeding and venous thromboembolism in patients with acute leukemia.medRxiv : the preprint server for health sciences · 2023
    Article
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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

6 authors.

Gwendolyn HoCenter for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.ORCID 0000-0001-8545-0446
Brian A JonasCenter for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
Qian LiCenter for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
Ann BrunsonCenter for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.ORCID 0000-0001-5308-9457
Ted WunCenter for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
Theresa H M KeeganCenter for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.ORCID 0000-0002-1961-4008

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
NCATS NIH HHS UL1 TR000002NCI NIH HHS K12 CA138464NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

Few studies have evaluated the impact of complications, sociodemographic and clinical factors on early mortality (death ≤60 days from diagnosis) in acute myeloid leukaemia (AML) patients. Using data from the California Cancer Registry linked to hospital discharge records from 1999 to 2012, we identified patients aged ≥15 years with AML who received inpatient treatment (N = 6359). Multivariate logistic regression analyses were used to assess the association of complications with early mortality, adjusting for sociodemographic factors, comorbidities and hospital type. Early mortality decreased over time (25·3%, 1999-2000; 16·8%, 2011-2012) across all age groups, but was higher in older patients (6·9%, 15-39, 11·4%, 40-54, 18·6% 55-65, and 35·8%, >65 years). Major bleeding [Odds ratio (OR) 1·5, 95% confidence interval (CI) 1·3-1·9], liver failure (OR 1·9, 95% CI 1·1-3·1), renal failure (OR 2·4, 95% CI 2·0-2·9), respiratory failure (OR 7·6, 95% CI 6·2-9·3) and cardiac arrest (OR 15·8, 95% CI 8·7-28·6) were associated with early mortality. Higher early mortality was also associated with single marital status, low neighbourhood socioeconomic status, lack of health insurance and comorbidities. Treatment at National Cancer Institute-designated cancer centres was associated with lower early mortality (OR 0·5, 95% CI 0·4-0·6). In conclusion, organ dysfunction, hospital type and sociodemographic factors impact early mortality. Further studies should investigate how differences in healthcare delivery affect early mortality.

Indexed as

AdolescentAdultAgedAntineoplastic AgentsCaliforniaCohort StudiesFemaleHospitalizationHospital MortalityHumansLeukemia, Myeloid, AcuteMaleMiddle AgedMortality, PrematureYoung AdultAntineoplastic Agentsacute leukaemiaAMLearly mortalityepidemiologyoutcomes research

Identifiers

PMID28419422
PMCPMC5444943

What OpenQuestion holds

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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.