Evidence map›Paper›PMID 38090120›Full record

ArticleJournal of acute medicine2023

Comparison of Ventilator Mechanics and Mortality Between COVID-19 Versus Non-COVID-19 Acute Respiratory Distress Syndrome Patients: A Cross-Sectional Study.

Sadaf Hanif, Madiha Iqbal, Sher Muhammad Sethi, Amber Sabeen

Open access · greenAbstract read
In one paragraph

Article in Journal of acute medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Sadaf HanifInternal Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Madiha IqbalInternal Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Sher Muhammad SethiInternal Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Amber SabeenInternal Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Aga Khan University Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aim to assess the differences in ventilator mechanics and mortality of acute respiratory distress syndrome (ARDS) between patients with and without COVID-19. It might serve as a milestone in reshaping management protocols by providing very preliminary evidence in this direction. Methods: It was a cross-sectional study that included adult patients aged 18 years or above admitted to the medical intensive care unit of our tertiary care hospital from January to December 2021 with the diagnosis of ARDS. Patients were divided into two groups. Group I were patients who had ARDS with COVID-19 infection while group II were those who had ARDS without COVID-19 infection. Both groups were compared in terms of clinical and respiratory mechanics of mechanical ventilators and mortality. Results: The study included 135 patients, 68 of whom were in group I, and 67 were in group II. In the COVID-19 group, the median age was 60; while in the non-COVID-19 group, it was 64. There were 50% male patients in both groups. ARDS was more severe in COVID-19 (n = 44, 58%) than in the non-COVID group (n = 31, 41.3%, Conclusions: COVID-19 patients had severe ARDS compared with non-COVID patients. Despite this, ventilator mechanics and mortality were not significantly different between both groups. It appears that more proning strategies were observed in the COVID-19 group and may have some positive effects.

Indexed as

COVID-19hypoxiapositive pressure ventilationrespiratory distress syndromerespiratory insufficiency

Identifiers

PMID38090120
PMCPMC10711365
OpenAlexW4389802137

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.