Evidence map›Paper›PMID 22488007›Full record

ArticleCritical care medicine2012

In the critically ill patient, diabetes predicts mortality independent of statin therapy but is not associated with acute lung injury: a cohort study.

Gavin C K W Koh, Alexander P J Vlaar, Jorrit J Hofstra, H Katrien de Jong, Samuel van Nierop, Sharon J Peacock, W Joost Wiersinga, Marcus J Schultz, Nicole P Juffermans

Abstract read
In one paragraph

Article in Critical care medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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.

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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Current practices of SGLT2 inhibitor use and ketone monitoring in intensive care units: A multicentre observational study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    Article
  5. Article
  6. Article
  7. Diabetic lung disease: fact or fiction?Reviews in endocrine & metabolic disorders · 2019
    Review
  8. Observational
  9. Article
  10. Observational
  11. Article
  12. Prognostic factors in the acute respiratory distress syndrome.Clinical and translational medicine · 2015
    Article
  13. Article
  14. Article
  15. Statin use and risk of delirium in the critically ill.American journal of respiratory and critical care medicine · 2014
    Observational
  16. Article
  17. Observational
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Gavin C K W KohAcademic Medical Center, Amsterdam, The Netherlands. gavin.koh@gmail.com
Alexander P J Vlaar
Jorrit J Hofstra
H Katrien de Jong
Samuel van Nierop
Sharon J Peacock
W Joost Wiersinga
Marcus J Schultz
Nicole P Juffermans
Wellcome Trust · GB

Funding

Wellcome Trust 086532Wellcome Trust 086532/Z/08/Z
6 · The paper itself

Abstract

objectivesPatients with diabetes mellitus form 23%-30% of published cohorts of critically ill patients. Conflicting published evidence links diabetes mellitus to both higher and lower mortality. Other cohort studies suggest that diabetes mellitus protects against acute lung injury. We hypothesized that diabetes mellitus is an independent risk factor for mortality. We further hypothesized that diabetes mellitus is a risk factor for cardiac overload and not for acute lung injury.

designRetrospective cohort study.

settingThe intensive care unit of a tertiary referral hospital. PATIENTS: From November 1, 2004, to October 1, 2007, a cohort of patients admitted ≥48 hrs to the intensive care unit.

interventionsNone. MEASUREMENTS AND MAIN

resultsOf 2,013 patients, 317 had diabetes mellitus. Ninety-day mortality was higher in the diabetes mellitus patients compared to patients without diabetes mellitus (hazard ratio 1.53, 95% confidence interval 1.29-1.80). This association strengthened after adjusting for confounders and for medication (hazard ratio 1.53, 95% confidence interval 1.07-2.17).We found no association between diabetes mellitus and acute lung injury (relative risk ratio 1.01, 95% confidence interval 0.78-1.32; adjusted relative risk ratio 0.99, 95% confidence interval 0.75-1.31), but diabetes mellitus was a risk factor for cardiac overload (relative risk ratio 1.91, 95% confidence interval 1.30-2.81; adjusted relative risk ratio 1.45, 95% confidence interval 0.97-2.18). Statins were associated with both a reduced risk of mortality (hazard ratio 0.74, 95% confidence interval 0.63-0.87; adjusted hazard ratio 0.53, 95% confidence interval 0.44-0.64) and a decreased risk of developing acute lung injury (relative risk ratio 0.71, 95% confidence interval 0.56-0.89; adjusted relative risk ratio 0.61, 95% confidence interval 0.47-0.79).

conclusionsDiabetes mellitus is an independent risk factor for mortality in critically ill patients and failure to adjust for statins underestimates the size of this association. Diabetes mellitus is not associated with acute lung injury but is associated with cardiac overload. A diagnosis of cardiac overload excludes a diagnosis of acute lung injury. Investigators who do not account for cardiac overload as a competing alternative outcome may therefore falsely conclude that diabetes mellitus protects from acute lung injury.

Indexed as

Hospital MortalityAcute Lung InjuryAgedCardiac VolumeCritical IllnessDiabetes ComplicationsDiabetes MellitusFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID22488007
PMCPMC3379571
OpenAlexW1964351829

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
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.