Evidence map›Paper›PMID 33875978›Full record

ArticleEClinicalMedicine2021

Identifying clinical and biochemical phenotypes in acute respiratory distress syndrome secondary to coronavirus disease-2019.

Sylvia Ranjeva, Riccardo Pinciroli, Evan Hodell, Ariel Mueller, C Corey Hardin, B Taylor Thompson, Lorenzo Berra

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
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  7. The Impact of Inflammatory Biomarker Subphenotypes on Acute Respiratory Distress Syndrome Prognosis: A Systematic Review and Meta-analysis.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Review
  8. Review
  9. Observational
  10. Endotyping in ARDS: one step forward in precision medicine.European journal of medical research · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Glucocorticoid Therapy in COVID-19.Seminars in respiratory and critical care medicine · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 1 institution in 1 country.

Sylvia RanjevaDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
Riccardo PinciroliDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
Evan HodellDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
Ariel MuellerDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
C Corey HardinPulmonary Critical Care Division, Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
B Taylor ThompsonPulmonary Critical Care Division, Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
Lorenzo BerraDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston MA 02114, USA.
Massachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) secondary to coronavirus disease-2019 (COVID-19) is characterized by substantial heterogeneity in clinical, biochemical, and physiological characteristics. However, the pathophysiology of severe COVID-19 infection is poorly understood. Previous studies established clinical and biological phenotypes among classical ARDS cohorts, with important therapeutic implications. The phenotypic profile of COVID-19 associated ARDS remains unknown.

methodsWe used latent class modeling via a multivariate mixture model to identify phenotypes from clinical and biochemical data collected from 263 patients admitted to Massachusetts General Hospital intensive care unit with COVID-19-associated ARDS between March 13 and August 2, 2020.

findingsWe identified two distinct phenotypes of COVID-19-associated ARDS, with substantial differences in biochemical profiles despite minimal differences in respiratory dynamics. The minority phenotype (class 2,

interpretationWe identified distinct phenotypic profiles in COVID-19 associated ARDS, with little variation according to respiratory physiology but with important variation according to systemic and extra-pulmonary markers. Phenotypic identity was highly associated with short-term mortality. The class 2 phenotype exhibited prominent signatures of coagulopathy, suggesting that vascular dysfunction may play an important role in the clinical progression of severe COVID-19-related disease.

Indexed as

ARDSCOVID-19PhenotypesStatistical inference

Identifiers

PMID33875978
PMCPMC8047387
OpenAlexW3154254493

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.