Evidence map›Paper›PMID 32759887›Full record

ReviewMedical science monitor : international medical journal of experimental and clinical research2020

Extracorporeal Membrane Oxygenation (ECMO) in Critically Ill Patients with Coronavirus Disease 2019 (COVID-19) Pneumonia and Acute Respiratory Distress Syndrome (ARDS).

Xiaochun Ma, Menglin Liang, Min Ding, Weiming Liu, Huibo Ma, Xiaoming Zhou, Hongsheng Ren

Open access · hybridAbstract readReview
In one paragraph

Review in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. [A case of severe acute respiratory distress syndrome caused by inhalation injury].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Lung fibrosis: Post-COVID-19 complications and evidences.International immunopharmacology · 2023
    Review
  16. Review
  17. Public Health Measures and the Control of COVID-19 in China.Clinical reviews in allergy & immunology · 2023
    Review
  18. Review
  19. Article
  20. The lung-gut crosstalk in respiratory and inflammatory bowel disease.Frontiers in cellular and infection microbiology · 2023
    Review
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 3 institutions in 1 country.

Xiaochun MaDepartment of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China (mainland).
Menglin LiangDepartment of Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China (mainland).
Min DingDepartment of Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China (mainland).
Weiming LiuDepartment of Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China (mainland).
Huibo MaQingdao University Medical College, Qingdao University, Qingdao, Shandong, China (mainland).
Xiaoming ZhouDepartment of Scientific Research, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China (mainland).
Hongsheng RenDepartment of Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China (mainland).
Shandong First Medical University · CNShandong Provincial Hospital · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traced back to December 2019, an unexpected outbreak of a highly contagious new coronavirus pneumonia (COVID-19) has rapidly swept around China and the globe. There have now been an estimated 2 580 000 infections and more than 170 000 fatal cases around the world. The World Health Organization (WHO) estimated that approximately 14% of infections developed into severe disease, 5% were critically ill, and the mortality rate of critically ill patients is reported to be over 50%. The shortage of specific anti-viral treatment and vaccines remains a huge challenge. In COVID-19, refractory hypoxemia is common among the critically ill with acute respiratory distress syndrome (ARDS) despite invasive mechanical ventilation, and is further complicated by respiratory and circulatory failure. This difficult situation calls for the use of extracorporeal membrane oxygenation (ECMO) for assisting respiration and circulation if necessary. This article reviews the pertinent clinical literature, technical guidance, and expert recommendations on use of ECMO in critically ill cases of COVID-19. Here, we present basic knowledge and opinions about COVID-19 and ECMO, review the evidence on ECMO use in Middle East Respiratory Syndrome (MERS) and H1N1 influenza, share the technical guidance and recommendations on use of ECMO in COVID-19, summarize the current use of ECMO against COVID-19 in China, and discuss the issues in use of ECMO in COVID-19.

Indexed as

Critical IllnessExtracorporeal Membrane OxygenationBetacoronavirusCoronavirus InfectionsCOVID-19HumansPandemicsPneumoniaPneumonia, ViralPractice Guidelines as TopicRespiratory Distress SyndromeSARS-CoV-2

Identifiers

PMID32759887
PMCPMC7430351
OpenAlexW3047777875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.