Evidence map›Paper›PMID 20639755›Full record

ReviewCritical care medicine2010

Critical care trial design and interpretation: a primer.

Jonathan E Sevransky, William Checkley, Greg S Martin

Abstract readReview
In one paragraph

Review in Critical care medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Outcomes and statistical power in adult critical care randomized trials.American journal of respiratory and critical care medicine · 2014
    Article
  5. Article
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

3 authors.

Jonathan E SevranskyDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA. jsevran1@jhmi.edu
William Checkley
Greg S Martin

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
THE ROLE OF TGFB IN ETHANOL MEDIATED LUNG INJURYP50AA013757 · NIAAA · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2003 to 2013
$15.7M
Phase III Study Comparing Albumin and Hetastarch Therapy in Acute Lung InjuryR01FD003440 · FDA · EMORY UNIVERSITY · PI MARTIN, GREGORY S · 2008 to 2013
$1.1M
Protocol Driven Hemodynamic Support in Septic ShockK23GM071399 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI SEVRANSKY, JONATHAN E · 2005 to 2009
$671k
Acute Lung Injury: Application of Novel Approaches to Longitudinal Data AnalysisK99HL096955 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CHECKLEY, WILLIAM · 2009 to 2010
$269k
FDA HHS R01 FD-003440FDA HHS R01 FD003440NCATS NIH HHS UL1 TR000454NCRR NIH HHS U54 RR-024380NCRR NIH HHS UL1 RR025008NHLBI NIH HHS K99 HL096955NHLBI NIH HHS K99HL096955NIAAA NIH HHS P50 AA-013757NIAAA NIH HHS P50 AA013757NIGMS NIH HHS K23 GM071399NIGMS NIH HHS K23 GM O71399
6 · The paper itself

Abstract

objectiveBetter understanding of the pathophysiology of critical illness has led to an increase in clinical trials designed to improve the clinical care and outcomes of patients with life-threatening illness. Knowledge of basic principles of clinical trial design and interpretation will assist the clinician in better applying the results of these studies into clinical practice. DATA SOURCES: We review selected clinical trials to highlight important design features that will improve understanding of the results of critical care clinical trials designed to improve clinical care of the critically ill.

resultsTrial design features such as patient selection, bias, sample size calculation, selection of subjects and controls, and primary outcome measure may influence the results of a critical care clinical trial designed to test a therapy targeting improved clinical care. In conjunction with trial design knowledge, understanding the size of the anticipated treatment effect, the importance of any clinical end point achieved, and whether patients in the trial are representative of typical patients with the illness will assist the reader in determining whether the results should be applied to specific patients or usual clinical practice.

conclusionsBetter understanding of important aspects of trial design and interpretation, such as whether patients enrolled in both intervention arms were comparable and whether the primary outcome of the trial is clinically important, will assist the bedside clinician in determining whether to apply the findings from the clinical study into clinical practice.

Indexed as

Clinical Trials as TopicCritical CareResearch DesignHumans

Identifiers

PMID20639755
PMCPMC4247355

What OpenQuestion holds

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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.