Evidence map›Paper›PMID 25011575›Full record

Observational studyIntensive care medicine2014

Distinct determinants of long-term and short-term survival in critical illness.

Allan Garland, Kendiss Olafson, Clare D Ramsey, Marina Yogendran, Randall Fransoo

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Intensive care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  5. Redefining success: Incorporating long-term survival outcomes into routine benchmarking.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
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  11. Observational
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  15. Predictors of 30-day mortality after endovascular thrombectomy for large vessel occlusion in the elderly.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023
    Article
  16. Observational
  17. 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

5 authors.

Allan GarlandDepartment of Internal Medicine, University of Manitoba, 820 Sherbrook St., Room GF-222, Winnipeg, MB, R3A1R9, Canada, agarland@hsc.mb.ca.
Kendiss Olafson
Clare D Ramsey
Marina Yogendran
Randall Fransoo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the determinants of short-term and long-term survival in adult patients admitted to intensive care units (ICUs).

methodsThis population-based, observational cohort study included all eleven adult ICUs in the Winnipeg Health Region of Manitoba, Canada, analyzing initial ICU admissions during the period 1999-2010 of all Manitobans ≥17 years old. Analysis included Kaplan-Meier survival curves and multivariable regression models of 30-day mortality and post-90-day survival among those who survived to day 90. We used likelihood ratios to compare the predictive power of clusters of variables in these models.

resultsAfter 33,324 initial ICU admissions, mortality rates within 30 and 90 days were 15.9 and 19.5 %, respectively. The survival curve demonstrated an early phase with a high rate of death, followed by a markedly lower death rate that was only clearly established after several months. 30-day mortality was predominantly determined by characteristics of the acute illness; with its relative contribution set at 1.00, the next largest contributors were age (0.19) and comorbidity (0.16). In contrast, post-90-day mortality was mainly determined by age (relative contribution 1.00) and comorbidity (0.95); the next largest contributor was characteristics of acute illness (0.28).

conclusionsWe observed two phases of survival related to critical illness. Short-term mortality was mainly determined by the acute illness, but its effect decayed relatively rapidly. Mortality beyond 3 months, among those who survived to that point, was mainly determined by age and comorbidity. Recognition of these findings is relevant to discussions with patients and surrogates about achievable goals of care.

Indexed as

Age FactorsCohort StudiesComorbidityCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedOdds Ratio

Identifiers

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.