Evidence map›Paper›PMID 30245873›Full record

ArticleCritical care research and practice2018

Characteristics, Outcomes, and Cost Patterns of High-Cost Patients in the Intensive Care Unit.

Peter M Reardon, Shannon M Fernando, Sasha Van Katwyk, Kednapa Thavorn, Daniel Kobewka, Peter Tanuseputro, Erin Rosenberg, Cynthia Wan, Brandi Vanderspank-Wright, Dalibor Kubelik and 3 more

Abstract read
In one paragraph

Article in Critical care research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. The Cost of Antivenom: A Cost Minimization Study using the North American Snakebite Registry.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2025
    Article
  6. Transformative impact of point-of-care testing in critical care.World journal of critical care medicine · 2025
    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

13 authors.

Peter M ReardonDivision of Critical Care Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-2118-1229
Shannon M FernandoDivision of Critical Care Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-4549-4289
Sasha Van KatwykOttawa Hospital Research Institute, Ottawa, ON, Canada.
Kednapa ThavornOttawa Hospital Research Institute, Ottawa, ON, Canada.
Daniel KobewkaOttawa Hospital Research Institute, Ottawa, ON, Canada.
Peter TanuseputroOttawa Hospital Research Institute, Ottawa, ON, Canada.
Erin RosenbergDivision of Critical Care Medicine, University of Ottawa, Ottawa, ON, Canada.
Cynthia WanSchool of Psychology, University of Ottawa, Ottawa, ON, Canada.
Brandi Vanderspank-WrightOttawa Hospital Research Institute, Ottawa, ON, Canada.
Dalibor KubelikDivision of Critical Care Medicine, University of Ottawa, Ottawa, ON, Canada.
Rose Anne DevlinDepartment of Economics, University of Ottawa, Ottawa, ON, Canada.
Christopher KlingerFactor-Inwentash, Faculty of Social Work, University of Toronto, Toronto, ON, Canada.
Kwadwo KyeremantengDivision of Critical Care Medicine, University of Ottawa, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundICU care is costly, and there is a large variation in cost among patients.

methodsThis is an observational study conducted at two ICUs in an academic centre. We compared the demographics, clinical data, and outcomes of the highest decile of patients by total costs, to the rest of the population.

resultsA total of 7,849 patients were included. The high-cost group had a longer median ICU length of stay (26 versus 4 days,

conclusionsHigh-cost users utilized half of the total costs. While cost is associated with LOS, other drivers include younger age or admission for respiratory failure, subarachnoid hemorrhage, or after a procedural complication. Cost-reduction interventions should incorporate strategies to optimize critical care use among these patients.

Identifiers

PMID30245873
PMCPMC6139208

What OpenQuestion holds

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LicenceCC BY
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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.