Evidence map›Paper›PMID 34671747›Full record

ArticleCritical care explorations2021

Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome.

Tariq A Dam, Harm-Jan de Grooth, Thomas Klausch, Lucas M Fleuren, Daan P de Bruin, Robert Entjes, Thijs C D Rettig, Dave A Dongelmans, Age D Boelens, Sander Rigter and 46 more

Abstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. 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

56 authors.

Tariq A DamDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Harm-Jan de GroothDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Thomas KlauschDepartment of Clinical Epidemiology, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Lucas M FleurenDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Daan P de BruinPacmed, Amsterdam, The Netherlands.
Robert EntjesDepartment of Intensive Care, Admiraal De Ruyter Ziekenhuis, Goes, The Netherlands.
Thijs C D RettigDepartment of Intensive Care, Amphia Ziekenhuis, Breda, The Netherlands.
Dave A DongelmansDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Amsterdam, The Netherlands.
Age D BoelensDepartment of Anesthesiology, Antonius Ziekenhuis Sneek, Sneek, The Netherlands.
Sander RigterDepartment of Anesthesiology and Intensive Care, St. Antonius Hospital, Nieuwegein, The Netherlands.
Stefaan H A HendriksDepartment of Intensive Care, Albert Schweitzerziekenhuis, Dordrecht, The Netherlands.
Remko de JongDepartment of Intensive Care, Bovenij Ziekenhuis, Amsterdam, The Netherlands.
Marlijn J A KampsDepartment of Intensive Care, Catharina Ziekenhuis Eindhoven, Eindhoven, The Netherlands.
Marco PetersDepartment of Intensive Care, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands.
A KarakusDepartment of Intensive Care, Diakonessenhuis Hospital, Utrecht, The Netherlands.
Diederik GommersDepartment of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands.
Dharmanand RamnarainDepartment of Intensive Care, ETZ Tilburg, Tilburg, The Netherlands.
Evert-Jan WilsDepartment of Intensive Care, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
Sefanja AchterbergDepartment of Intensive Care, Haaglanden Medisch Centrum, Den Haag, The Netherlands.
Ralph NowitzkyDepartment of Intensive Care, HagaZiekenhuis, Den Haag, The Netherlands.
Walter van den TempelDepartment of Intensive Care, Ikazia Ziekenhuis Rotterdam, Rotterdam, The Netherlands.
Cornelis P C de JagerDepartment of Intensive Care, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands.
Fleur G C A NooteboomDepartment of Intensive Care, Laurentius Ziekenhuis, Roermond, The Netherlands.
Evelien OostdijkDepartment of Intensive Care, Maasstad Ziekenhuis Rotterdam, Rotterdam, The Netherlands.
Peter KoetsierDepartment of Intensive Care, Medisch Centrum Leeuwarden, Leeuwarden, The Netherlands.
Alexander D CornetDepartment of Intensive Care, Medisch Spectrum Twente, Enschede, The Netherlands.
Auke C ReidingaDepartment of Intensive Care, SEH, BWC, Martiniziekenhuis, Groningen, The Netherlands.
Wouter de RuijterDepartment of Intensive Care Medicine, Northwest Clinics, Alkmaar, The Netherlands.
Rob J BosmanDepartment of Intensive Care, OLVG, Amsterdam, The Netherlands.
Tim FrenzelDepartment of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Louise C Urlings-StropDepartment of Intensive Care, Reinier de Graaf Gasthuis, Delft, The Netherlands.
Paul de JongDepartment of Anesthesia and Intensive Care, Slingeland Ziekenhuis, Doetinchem, The Netherlands.
Ellen G M SmitDepartment of Intensive Care, Spaarne Gasthuis, Haarlem en Hoofddorp, The Netherlands.
Olaf L CremerDepartment of Intensive Care, UMC Utrecht, Utrecht, The Netherlands.
D Jannet Mehagnoul-SchipperDepartment of Intensive Care, VieCuri Medisch Centrum, Venlo, The Netherlands.
Harald J FaberDepartment of Intensive Care, WZA, Assen, The Netherlands.
Judith LensDepartment of Intensive Care, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands.
Gert B BrunnekreefDepartment of Intensive Care, Ziekenhuisgroep Twente, Almelo, The Netherlands.
Barbara Festen-SpanjerDepartment of Intensive Care, Ziekenhuis Gelderse Vallei, Ede, The Netherlands.
Tom DormansDepartment of Intensive Care, Zuyderland MC, Heerlen, The Netherlands.
Annemieke DijkstraDepartment of Intensive Care Medicine, Het Van Weel-Bethesda Ziekenhuis, Dirksland, The Netherlands.
Bram SimonsDepartment of Intensive Care, Bravis Ziekenhuis, Bergen op Zoom en Roosendaal, The Netherlands.
A A RijkeboerDepartment of Intensive Care, Flevoziekenhuis, Almere, The Netherlands.
Sesmu ArbousDepartment of Intensive Care, LUMC, Leiden, The Netherlands.
Marcel AriesDepartment of Intensive Care, MUMC+, University Maastricht, Maastricht, The Netherlands.
Menno BeukemaDepartment of Intensive Care, Streekziekenhuis Koningin Beatrix, Winterswijk, The Netherlands.
Daniël PretoriusDepartment of Intensive Care Medicine, Hospital St Jansdal, Harderwijk, The Netherlands.
Rutger van RaalteDepartment of Intensive Care, Tergooi Hospital, Hilversum, The Netherlands.
Martijn van TellingenDepartment of Intensive Care Medicine, afdeling Intensive Care, ziekenhuis Tjongerschans, Heerenveen, The Netherlands.
Niels C Gritters van den OeverDepartment of Intensive Care, Treant Zorggroep, Emmen, The Netherlands.
Robbert C A LalisangPacmed, Amsterdam, The Netherlands.
Michele TonuttiPacmed, Amsterdam, The Netherlands.
Armand R J GirbesDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Mark HoogendoornDepartment of Computer Science, Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, VU University, Amsterdam, The Netherlands.
Patrick J ThoralDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Paul W G ElbersDepartment of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs coronavirus disease 2019 is a novel disease, treatment strategies continue to be debated. This provides the intensive care community with a unique opportunity as the population of coronavirus disease 2019 patients requiring invasive mechanical ventilation is relatively homogeneous compared with other ICU populations. We hypothesize that the novelty of coronavirus disease 2019 and the uncertainty over its similarity with noncoronavirus disease 2019 acute respiratory distress syndrome resulted in substantial practice variation between hospitals during the first and second waves of coronavirus disease 2019 patients.

designMulticenter retrospective cohort study.

settingTwenty-five hospitals in the Netherlands from February 2020 to July 2020, and 14 hospitals from August 2020 to December 2020. PATIENTS: One thousand two hundred ninety-four critically ill intubated adult ICU patients with coronavirus disease 2019 were selected from the Dutch Data Warehouse. Patients intubated for less than 24 hours, transferred patients, and patients still admitted at the time of data extraction were excluded. MEASUREMENTS AND MAIN

resultsWe aimed to estimate between-ICU practice variation in selected ventilation parameters (positive end-expiratory pressure, Fio

conclusionsThis is the first study to clearly demonstrate significant practice variation between ICUs related to mechanical ventilation parameters that are under direct control by intensivists. Their effect on clinical outcomes for both coronavirus disease 2019 and other critically ill mechanically ventilated patients could have widespread implications for the practice of intensive care medicine and should be investigated further by causal inference models and clinical trials.

Indexed as

acute respiratory distress syndromeclinical practice variationcoronavirus disease 2019mechanical ventilation

Identifiers

PMID34671747
PMCPMC8522869

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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.