Evidence map›Paper›PMID 37936793›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2023

Outcome of Patients on Prolonged V-V ECMO at a Tertiary Care Center in India.

Kishen Goel, Arpan Chakraborty, Ayush Goel

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Prolonged VV ECMO: Navigating the Unchartered Sea.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    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

3 authors.

Kishen GoelDepartment of Emergency Medicine, IPGME & R-SSKM Hospital, Kolkata, West Bengal, India.ORCID https://orcid.org/0000-0001-5817-5936
Arpan ChakrabortyDepartment of Critical Care and ECMO Services, Apollo Multispeciality Hospitals, Kolkata, West Bengal, India.ORCID https://orcid.org/0009-0009-5342-1902
Ayush GoelDepartment of Pulmonary Critical Care and Sleep Medicine, AIIMS New Delhi, India.ORCID https://orcid.org/0000-0003-3512-8728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Extracorporeal membrane oxygenation (ECMO) is a life-support system that provides cardiopulmonary support. With recent advances, the duration of ECMO has increased but data on the outcomes of prolonged V-V ECMO are limited and inconsistent. Materials and methods: It is a retrospective observational study done at a tertiary care center in Kolkata to study the outcome of patients receiving prolonged V-V ECMO defined as >14 days. Observation: A total of 22 patients received prolonged ECMO support. Fifteen patients (68.2%) had severe coronavirus disease-2019 (COVID-19). The mean duration of invasive mechanical ventilation (IMV) before ECMO was 5 days. Baseline PaO Conclusion: Duration of ECMO support alone should not represent a basis for decision making to decide futility or continuation of ECMO support. Prolonged ECMO in acute respiratory distress syndrome (ARDS) has minor complications and can lead to recovery in almost one-third of the patients. How to cite this article: Goel K, Chakraborty A, Goel A. Outcome of Patients on Prolonged V-V ECMO at a Tertiary Care Center in India. Indian J Crit Care Med 2023;27(11):790-794.

Indexed as

Coronavirus disease-2019Extracorporeal membrane oxygenation

Identifiers

PMID37936793
PMCPMC10626230

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.