Evidence map›Paper›PMID 27609843›Full record

SynthesisBMJ open2016

Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS.

Benjamin Kasenda, Willi Sauerbrei, Patrick Royston, Alain Mercat, Arthur S Slutsky, Deborah Cook, Gordon H Guyatt, Laurent Brochard, Jean-Christophe M Richard, Thomas E Stewart and 2 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Benjamin KasendaInstitute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland.
Willi SauerbreiInstitute of Medical Biometrics and Medical Informatics, Freiburg University Medical Centre, Freiburg, Germany.
Patrick RoystonMRC Clinical Trials Unit, Hub for Trials Methodology Research, University College London, London, UK.
Alain MercatUniversity Hospital Angers, Angers, France.
Arthur S SlutskyKeenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital; & University of Toronto, Toronto, Ontario, Canada.
Deborah CookInstitute for Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Gordon H GuyattInstitute for Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Laurent BrochardKeenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, Ontario, Canada Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Jean-Christophe M RichardEmergency and Intensive Care Department, General Hospital Annecy France, INSERM Unit 955 Eq13, Paris, France.
Thomas E StewartNiagara Health System, St. Catharines, Ontario, Canada.
Maureen MeadeInstitute for Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Matthias BrielInstitute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland Institute for Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA recent individual patient data (IPD) meta-analysis suggested that patients with moderate or severe acute respiratory distress syndrome (ARDS) benefit from higher positive end-expiratory pressure (PEEP) ventilation strategies. However, thresholds for continuous variables (eg, hypoxaemia) are often arbitrary and linearity assumptions in regression approaches may not hold; the multivariable fractional polynomial interaction (MFPI) approach can address both problems. The objective of this study was to apply the MFPI approach to investigate interactions between four continuous patient baseline variables and higher versus lower PEEP on clinical outcomes.

settingPooled data from three randomised trials in intensive care identified by a systematic review.

participants2299 patients with acute lung injury requiring mechanical ventilation.

interventionsHigher (N=1136) versus lower PEEP (N=1163) ventilation strategy. OUTCOME MEASURES: Prespecified outcomes included mortality, time to death and time-to-unassisted breathing. We examined the following continuous baseline characteristics as potential effect modifiers using MFPI: PaO2/FiO2 (arterial partial oxygen pressure/ fraction of inspired oxygen), oxygenation index, respiratory system compliance (tidal volume/(inspiratory plateau pressure-PEEP)) and body mass index (BMI).

resultsWe found that for patients with PaO2/FiO2 below 150 mm Hg, but above 100 mm Hg or an oxygenation index above 12 (moderate ARDS), higher PEEP reduces hospital mortality, but the beneficial effect appears to level off for patients with very severe ARDS. Patients with mild ARDS (PaO2/FiO2 above 200 mm Hg or an oxygenation index below 10) do not seem to benefit from higher PEEP and might even be harmed. For patients with a respiratory system compliance above 40 mL/cm H2O or patients with a BMI above 35 kg/m(2), we found a trend towards reduced mortality with higher PEEP, but there is very weak statistical confidence in these findings.

conclusionsMFPI analyses suggest a nonlinear effect modification of higher PEEP ventilation by PaO2/FiO2 and oxygenation index with reduced mortality for some patients suffering from moderate ARDS. STUDY REGISTRATION NUMBER: CRD42012003129.

Indexed as

Blood Gas AnalysisBody Mass IndexFemaleHospital MortalityHumansMaleMiddle AgedModels, StatisticalMultivariate AnalysisPositive-Pressure RespirationRespiratory Distress SyndromeTidal Volumeacute lung injuryARDSIPD meta-analysismultivariable fractional polynomialstreatment interaction

Identifiers

PMID27609843
PMCPMC5020750

What OpenQuestion holds

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LicenceCC BY-NC
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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.