Evidence map›Paper›PMID 33273653›Full record

ArticleScientific reports2020

Predictors of intensive care unit admission in patients with hematologic malignancy.

Abi Vijenthira, Nicholas Chiu, Daniel Jacobson, Zoey Freedman, Matthew C Cheung, Shannon Goddard, Robert Fowler, Rena Buckstein

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  13. Predictors of Vancomycin-ResistantAntibiotics (Basel, Switzerland) · 2022
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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

8 authors.

Abi VijenthiraDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada.
Nicholas ChiuBoston University School of Medicine, Harvard T.H. Chan School of Public Health, Boston, USA.
Daniel JacobsonWestern University and Ivey Business School, London, Canada.
Zoey FreedmanPostgraduate Genetics and Genome Sciences Education, Case Western Reserve University, Cleveland, USA.
Matthew C CheungEvaluative Clinical Sciences, Odette Cancer Research Program, Sunnybrook Research Institute, Toronto, Canada.
Shannon GoddardDivision of Medical Oncology and Hematology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada.
Robert FowlerEvaluative Clinical Sciences, Trauma, Emergency and Critical Care Research Program, Sunnybrook Research Institute, Toronto, Canada.
Rena BucksteinDepartment of Medicine, University of Toronto, Toronto, Canada. rena.buckstein@sunnybrook.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited data exist on predictors of intensive care unit (ICU) admission in patients with hematologic malignancy. The objective of this study was to identify predictors of ICU admission in hospitalized patients with hematologic malignancies. A retrospective cohort study was conducted on 820 consecutive admissions of patients with a malignant hematology diagnosis at our institution between March 2009 and December 2015. Backward stepwise selection procedure was conducted for multivariable logistic regression analyses. 820 patients were included, of whom 179 (22%) were admitted to the ICU. Types of hematologic cancers included 71% (N = 578) lymphoid cancer, 18% (N = 151) myeloid cancer, and 10% (N = 80) plasma cell neoplasms. 14% (N = 111) of patients had acute leukemia. Six predictors of admission to ICU were found in multivariable analysis, including disease-related (acute leukemia, curative intent chemotherapy), laboratory-related (platelet count < 50 × 109/L, albumin below normal, LDH above normal at time of admission), and physician-related factors (having advanced directives discussion) (p < 0.0001). A significant proportion of patients with hematologic malignancies admitted to hospital are admitted to ICU. Utilizing the identified predictors of ICU admission may help guide timely informed goals of care discussions with patients before clinical deterioration occurs.

Indexed as

Intensive Care UnitsPatient AdmissionAgedFemaleHematologic NeoplasmsHumansMaleMiddle AgedOutcome Assessment, Health CareRetrospective Studies

Identifiers

PMID33273653
PMCPMC7713054

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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.