Evidence map›Paper›PMID 40943849›Full record

ArticleJournal of clinical medicine2025

ARDS Subphenotypes as a Guide to Therapy and Enrollment into Therapeutic Trials: Not So Fast.

Jesús Villar, Tamas Szakmany, Ognjen Gajic, Diego Casali, Sara Cazorla-Rivero, Alexander S Niven

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. 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

6 authors.

Jesús VillarCiber de Enfermedades Respiratorias, Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0001-5687-3562
Tamas SzakmanyIntegrated Hospital Institute, Cleveland Clinic Abu Dhabi, 59 Hamouda Bin Ali Al Dhaheri Street, Abu Dhabi 112412, United Arab Emirates.ORCID 0000-0003-3632-8844
Ognjen GajicDivision of Pulmonary and Critical Care, Department of Medicine, Mayo Clinic, Rochester 200 First Street SW, Rochester, MN 55905, USA.
Diego CasaliCardiothoracic Intensive Care Unit, Cleveland Clinic Abu Dhabi, 59 Hamouda Bin Ali Al Dhaheri Street, Abu Dhabi 112412, United Arab Emirates.
Sara Cazorla-RiveroResearch Unit, Fundación Canaria Instituto de Investigación Sanitaria de Canarias, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, Annex Building, 35019 Las Palmas de Gran Canaria, Spain.
Alexander S NivenDivision of Pulmonary and Critical Care, Department of Medicine, Mayo Clinic, Rochester 200 First Street SW, Rochester, MN 55905, USA.ORCID 0000-0003-0891-9495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute respiratory distress syndrome (ARDS) is a common and highly heterogeneous condition in the critically ill. The association between hyper- and hypo-inflammatory subphenotypes and clinical outcomes has generated significant interest in precise ARDS management. The value of identifying biomarkers to guide treatment and enrollment in future ARDS trials is undisputable. We describe multiple factors complicating the search for subphenotypes and their treatable traits. The observed heterogeneity seen in the clinical course of ARDS is dynamic and influenced by factors beyond lung pathophysiology, including variations in the delivery of best critical care practices, patient comorbidities, and functional status, and patient or family preferences. Current subphenotype definitions lack strong biological plausibility and without clear evidence of benefit from targeted treatments, their use in clinical practice is currently unwarranted.

Indexed as

acute respiratory distress syndromeARDSbiomarkersclinical outcomepatient preferencespersonalized medicinephenotypesprecision medicinerandomized clinical trials

Identifiers

PMID40943849
PMCPMC12429553

What OpenQuestion holds

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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.