Evidence map›Paper›PMID 18003954›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2007

Sex-and age-based differences in the delivery and outcomes of critical care.

Robert A Fowler, Natasha Sabur, Ping Li, David N Juurlink, Ruxandra Pinto, Michelle A Hladunewich, Neill K J Adhikari, William J Sibbald, Claudio M Martin

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05513456 (Ethnic and Gender Based Admittance Patterns in the ICU, a Multicenter, International Randomized Survey Study), which is not on this map. Cited by 126 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 6 pooled it
24.5field-weighted citation impact, top 1% of its field
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.

NCT05513456 recruitingnot on this mapstarted 2024, after this paper: background citation

Ethnic and Gender Based Admittance Patterns in the ICU, a Multicenter, International Randomized Survey Study

TypeobservationalSponsorKarolinska InstitutetRan2024 to 2026Enrolled5,000ConditionsCritical Illness, Gender Equality, Discrimination, Sex, Discrimination, RacialArmsRandomization to a different factors in the case descriptions
3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 6 syntheses or guidelines pooled it, 319 citations in OpenAlex.

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  8. Modelling the number of ICU beds, ICU length of stay, and ICU admission rates in Australia and New Zealand through to 2040: The PrognostICate Study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Robert A FowlerInterdepartmental Division of Critical Care Medicine and Department of Medicine, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ont. rob.fowler@sunnybrook.ca
Natasha Sabur
Ping Li
David N Juurlink
Ruxandra Pinto
Michelle A Hladunewich
Neill K J Adhikari
William J Sibbald
Claudio M Martin
Sunnybrook Health Science Centre · CAHealth Sciences Centre · CAInstitute for Clinical Evaluative Sciences · CAUniversity of Calgary · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have suggested that a patient's sex may influence the provision and outcomes of critical care. Our objective was to determine whether sex and age are associated with differences in admission practices, processes of care and clinical outcomes for critically ill patients.

methodsWe used a retrospective cohort of 466,792 patients, including 24,778 critically ill patients, admitted consecutively to adult hospitals in Ontario between Jan. 1, 2001, and Dec. 31, 2002. We measured associations between sex and age and admission to the intensive care unit (ICU); use of mechanical ventilation, dialysis or pulmonary artery catheterization; length of stay in the ICU and hospital; and death in the ICU, hospital and 1 year after admission.

resultsOf the 466,792 patients admitted to hospital, more were women than men (57.0% v. 43.0% for all admissions, p < 0.001; 50.1% v. 49.9% for nonobstetric admissions, p < 0.001). However, fewer women than men were admitted to ICUs (39.9% v. 60.1%, p < 0.001); this difference was most pronounced among older patients (age > or = 50 years). After adjustment for admission diagnoses and comorbidities, older women were less likely than older men to receive care in an ICU setting (odds ratio [OR] 0.68, 95% confidence interval [CI] 0.66-0.71). After adjustment for illness severity, older women were also less likely than older men to receive mechanical ventilation (OR 0.91, 95% CI 0.81-0.97) or pulmonary artery catheterization (OR 0.80, 95% CI 0.73-0.88). Despite older men and women having similar severity of illness on ICU admission, women received ICU care for a slightly shorter duration yet had a longer length of stay in hospital (mean 18.3 v. 16.9 days; p = 0.006). After adjustment for differences in comorbidities, source of admission, ICU admission diagnosis and illness severity, older women had a slightly greater risk of death in the ICU (hazard ratio 1.20, 95% CI 1.10-1.31) and in hospital (hazard ratio 1.08, 95% CI 1.00-1.16) than did older men.

interpretationAmong patients 50 years or older, women appear less likely than men to be admitted to an ICU and to receive selected life-supporting treatments and more likely than men to die after critical illness. Differences in presentation of critical illness, decision-making or unmeasured confounding factors may contribute to these findings.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolCohort StudiesCritical CareDelivery of Health CareFemaleHealth Care SurveysHumansInfantInfant, NewbornIntensive Care Units

Identifiers

PMID18003954
PMCPMC2096494
OpenAlexW2134120027

What OpenQuestion holds

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Registered trials

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.