Evidence map›Paper›PMID 37495364›Full record

Observational studyThorax2023

Estimating the attributable fraction of mortality from acute respiratory distress syndrome to inform enrichment in future randomised clinical trials.

Rohit Saha, Tài Pham, Pratik Sinha, Manoj V Maddali, Giacomo Bellani, Eddy Fan, Charlotte Summers, Abdel Douiri, Gordon D Rubenfeld, Carolyn S Calfee and 4 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Thorax, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. Expert perspectives on ECCOAnnals of intensive care · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 12 institutions in 6 countries.

Rohit SahaCriticlal Care, King's College Hospital NHS Trust, London, UK.ORCID 0000-0002-9462-3940
Tài PhamService de médecine intensive-réanimation, Paris-Saclay University Faculty of Medicine, Le Kremlin-Bicetre, France.
Pratik SinhaDepartment of Anaesthesiology, Washington University in St Louis, St Louis, Missouri, USA.
Manoj V MaddaliPulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, California, USA.
Giacomo BellaniEmergency and Intensive Care, University of Milan-Bicocca, Monza, Italy.
Eddy FanInterdepartmental Division of Critical Care Medicine, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.
Charlotte SummersDepartment of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID 0000-0002-7269-2873
Abdel DouiriSchool of Population Health & Environmental Sciences, King's College London, London, UK.ORCID 0000-0002-4354-4433
Gordon D RubenfeldSunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
Carolyn S CalfeeDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, California, USA.
John Gerard LaffeyAnaesthesia, School of Medicine, National University of Ireland Galway, Galway, Ireland.ORCID 0000-0002-1246-9573
Daniel Francis McAuleyICU, QUB, Belfast, UK.
Manu Shankar-HariCentre for Inflammation Research, The Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, UK manu.shankar-hari@ed.ac.uk.ORCID 0000-0002-5338-2538
LUNG-SAFE investigators
King's College London · GBCentre for Inflammation Research · GBOllscoil na Gaillimhe – University of Galway · IEQueen's University Belfast · GBStanford University · USSunnybrook Health Science Centre · CAUniversité Paris-Saclay · FRUniversity of California, San Francisco · USUniversity of Cambridge · GBUniversity of Milano-Bicocca · ITUniversity of Toronto · CAWashington University in St. Louis · US

Funding

Precision Medicine in the Acute Respiratory Distress SyndromeR35HL140026 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALFEE, CAROLYN · 2018 to 2024
$6.8M
Precision Medicine in Sepsis with Critical IllnessR35GM142992 · NIGMS · WASHINGTON UNIVERSITY · PI Pratik Sinha · 2021 to 2026
$2.4M
Medical Research Council MR/P502091/1Medical Research Council MR/X005070/1NHLBI NIH HHS R35 HL140026NIGMS NIH HHS R35 GM142992Wellcome Trust
6 · The paper itself

Abstract

backgroundEfficiency of randomised clinical trials of acute respiratory distress syndrome (ARDS) depends on the fraction of deaths attributable to ARDS (AF

methodsWe performed a matched case-control study using the Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE cohort. Primary outcome was intensive care unit mortality. We used nearest neighbour propensity score matching without replacement to match ARDS to non-ARDS populations. We derived two separate AF

resultsEstimated AF

conclusionsOverall AF

Indexed as

Respiratory Distress SyndromeRespiratory InsufficiencyCase-Control StudiesHumansHypoxiaLungARDSclinical epidemiology

Identifiers

PMID37495364
PMCPMC10581447
OpenAlexW4385269561

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.