Evidence map›Paper›PMID 34372884›Full record

ArticleCritical care (London, England)2021

Letter to the editor regarding Extracorporeal membrane oxygenation for COVID-19: a systematic review and meta-analysis.

Dominik Johannes Hoechter, Andrea Sabine Becker-Pennrich, Benjamin Peter Geisler, Bernhard Zwissler, Michael Irlbeck, Kollengode Ramanathan, Kiran Shekar, Ryan Ruiyang Ling, Ryan Barbaro, Graeme MacLaren and 2 more

Abstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Critical care (London, England), 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. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Dominik Johannes HoechterDepartment of Anesthesiology, LMU Klinikum, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany. dominik.hoechter@med.uni-muenchen.de.ORCID 0000-0003-4026-5137
Andrea Sabine Becker-PennrichDepartment of Anesthesiology, LMU Klinikum, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Benjamin Peter GeislerInstitute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Bernhard ZwisslerDepartment of Anesthesiology, LMU Klinikum, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Michael IrlbeckDepartment of Anesthesiology, LMU Klinikum, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Kollengode RamanathanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. ram_ramanathan@nuhs.edu.sg.
Kiran ShekarAdult Intensive Care Services and Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia.
Ryan Ruiyang LingYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ryan BarbaroDivision of Paediatrics Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Graeme MacLarenYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Eddy FanInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada.
Daniel BrodieDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Extracorporeal Membrane OxygenationHumansSARS-CoV-2

Identifiers

PMID34372884
PMCPMC8352146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.