Evidence map›Paper›PMID 34519845›Full record

ArticleIntensive care medicine2021

Critical illness in patients with hematologic malignancy: a population-based cohort study.

Bruno L Ferreyro, Damon C Scales, Hannah Wunsch, Matthew C Cheung, Vikas Gupta, Refik Saskin, Santhosh Thyagu, Laveena Munshi

Abstract read
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In one paragraph

Article in Intensive care medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Characterization and outcomes of severe complications after autologous hematopoietic stem-cell transplantation: a retrospective multicenter study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Observational
  8. Article
  9. Differences in admission to trauma centres by sex among adults with traumatic brain injury: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Article
  10. Critical care in hematologic emergencies.Intensive care medicine · 2026
    Article
  11. Article
  12. Immune interplay between sepsis and haematological malignancies.Intensive care medicine experimental · 2026
    Review
  13. ICU-acquired infection in neutropenic patients.Critical care (London, England) · 2026
    Article
  14. Article
  15. Article
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  19. Article
  20. Understanding cancer disease status and what it means for intensivists.Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    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

8 authors.

Bruno L FerreyroInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada. bruno.ferreyro@uhn.ca.ORCID http://orcid.org/0000-0001-7485-3741
Damon C ScalesInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada.
Hannah WunschInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada.
Matthew C CheungICES, Toronto, ON, Canada.
Vikas GuptaDivision of Hematology/Medical Oncology, Department of Medicine, University of Toronto, Toronto, Canada.
Refik SaskinICES, Toronto, ON, Canada.
Santhosh ThyaguDivision of Hematology/Medical Oncology, Department of Medicine, University of Toronto, Toronto, Canada.
Laveena MunshiInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo describe the modern incidence and predictors of ICU admission for adult patients newly diagnosed with a hematologic malignancy.

methodsWe conducted a population-based cohort study of adults with a new diagnosis of hematologic malignancy (April 1, 2006-March 31, 2017) in Ontario, Canada. We described the baseline demographic, clinical and laboratory predictors of ICU admission and subsequent mortality. The primary outcome was the incidence of ICU admission within 1 year of hematologic malignancy diagnosis. We assessed the predictors of ICU admission using Cox-proportional models that accounted for the competing risk of death and reported as subdistribution hazard ratios (sHR) with 95% confidence intervals (CI).

resultsA total of 87,965 patients (mean [SD] age, 67.8 (15.7) years) were included. The 1-year incidence of ICU admission was 13.9% (median time 35 days), ranging from 7.3% (indolent lymphoma) to 22.5% (acute myeloid leukemia). After multivariable adjustment, compared to indolent lymphoma, acute myeloid leukemia (sHR, 3.09; 95% CI 2.84-3.35), aggressive non-Hodgkin lymphoma (sHR, 2.47; 95% CI 2.31-2.65) and acute lymphoblastic leukemia (sHR, 2.46; 95% CI 2.15-2.80) had the highest risk of ICU admission. Comorbidities such as cardiovascular disease (sHR, 2.09; 95% CI 2.01-2.19), chronic obstructive pulmonary disease (sHR, 1.33; 95% CI 1.26-1.39) and baseline laboratory abnormalities (anemia, thrombocytopenia and high creatinine) were also associated with ICU admission. Among ICU patients, 36.7% required invasive mechanical ventilation and in-hospital mortality was 31%.

conclusionCritical illness in patients with a newly diagnosed hematologic malignancy is frequent, occurring early after diagnosis. Certain baseline characteristics can help identify those patients at the highest risk.

Indexed as

Critical IllnessHematologic NeoplasmsAdultAgedCohort StudiesHospital MortalityHumansIntensive Care UnitsOntarioRetrospective StudiesHematologic malignancyIntensive care unitInvasive ventilationMortality

Identifiers

What OpenQuestion holds

Textmetadata
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.