Evidence map›Paper›PMID 42707840›Full record

ArticleCritical care explorations2026

Characterizing Cardiovascular Function In The Inflammatory Subphenotypes of Acute Respiratory Distress Syndrome.

Minesh Chotalia, Muzzammil Ali, Ravi Chotalia, Dhruv Parekh, Jaimin M Patel, Mansoor N Bangash

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Critical care explorations, 2026. 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. 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

6 authors.

Minesh ChotaliaDepartment of inflammation and ageing, Birmingham Acute Care Research Group, University of Birmingham, Birmingham, UK.ORCID 0000-0002-2206-1678
Muzzammil AliDepartment of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, UK.
Ravi ChotaliaDepartment of Cardiology, Lincoln County Hospital, UK.
Dhruv ParekhDepartment of inflammation and ageing, Birmingham Acute Care Research Group, University of Birmingham, Birmingham, UK.
Jaimin M PatelDepartment of inflammation and ageing, Birmingham Acute Care Research Group, University of Birmingham, Birmingham, UK.
Mansoor N BangashDepartment of inflammation and ageing, Birmingham Acute Care Research Group, University of Birmingham, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare transthoracic echocardiography (TTE) and cardiovascular parameters in patients with hyper- and hypoinflammatory acute respiratory distress syndrome (ARDS), derived using a validated, artificial intelligence clinical classifier. To compare overlap between latent class analysis-derived cardiovascular subphenotypes and clinical classifier-derived inflammatory subphenotypes of ARDS.

designRetrospective single-center cohort study.

settingUniversity Hospital ICU, Birmingham, United Kingdom. PATIENTS: Intubated patients who received a transthoracic echocardiogram within 7 days of ARDS onset between April 2016 and December 2021. MEASUREMENTS AND MAIN

resultsA total of 691 patients were included, age 61 years (interquartile range, 50-72 yr), 65% male, 41% 90-day mortality rate. A total of 30% (

conclusionsInflammatory and cardiovascular subphenotypes represent complementary but distinct axes of ARDS pathobiology. The hyperinflammatory subphenotype aligns with a hyperdynamic circulation, whereas RV dysfunction may be mechanistically independent.

Indexed as

InflammationRespiratory Distress SyndromeAgedEchocardiographyFemaleHumansMaleMiddle AgedPhenotypeRetrospective StudiesUnited Kingdomacute respiratory distress syndromehyperdynamichyperinflammatoryright ventricular dysfunctionright ventricular failuresubphenotypes

Identifiers

PMID42707840
PMCPMC13549566

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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.