Evidence map›Paper›PMID 37762954›Full record

ArticleJournal of clinical medicine2023

Demographics and Outcomes of Extracorporeal Membrane Oxygenation in COVID-19 Patients: National Database Analysis.

Rami Ahmad, Andrew Abrahamian, Ayman Salih, Rayna Patel, Zachary Holtzapple, Ragheb Assaly, Fadi Safi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. 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
0.9field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. 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

7 authors at 1 institution in 1 country.

Rami AhmadDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.
Andrew AbrahamianDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.ORCID 0000-0002-8727-8034
Ayman SalihDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.ORCID 0009-0003-3479-5796
Rayna PatelDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.
Zachary HoltzappleDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.ORCID 0000-0002-1383-2733
Ragheb AssalyDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.
Fadi SafiDepartment of Internal Medicine, University of Toledo, Toledo, OH 43606, USA.
University of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe effectiveness of extracorporeal membrane oxygenation (ECMO) in treating COVID-19 patients has been variable. To gain a better insight, we examined the outcomes of ECMO in COVID-19 patients using data from the 2020 National Inpatient Sample database.

methodsWe analyzed data from adult hospital admissions where COVID-19 was the primary diagnosis. The primary outcome was all-cause inpatient mortality. Secondary outcomes were length of stay (LOS), cost, and discharge disposition.

resultsWe identified 1,048,025 COVID-19 admissions, of which 98,528 were on mechanical ventilation (MV), and only 1.8% received ECMO. In-hospital mortality of mechanically ventilated patients who received ECMO was 49%, compared to 59% with no ECMO (

conclusionECMO treatment may offer survival benefits in severe COVID-19. Based on our findings, we suggest early ECMO treatment for patients with a high mortality risk.

Indexed as

COVID-19extracorporeal membrane oxygenationhospital staymortalitynational inpatient sample

Identifiers

PMID37762954
PMCPMC10532225
OpenAlexW4386837178

What OpenQuestion holds

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Registered trials

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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.