Evidence map›Paper›PMID 30321489›Full record

ArticleAnnals of the American Thoracic Society2019

Differences between Patients in Whom Physicians Agree and Disagree about the Diagnosis of Acute Respiratory Distress Syndrome.

Michael W Sjoding, Timothy P Hofer, Ivan Co, Jakob I McSparron, Theodore J Iwashyna

Open access · greenAbstract read
In one paragraph

Article in Annals of the American Thoracic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  6. Multimodal Deep Learning for ARDS Detection.medRxiv : the preprint server for health sciences · 2025
    Article
  7. Observational
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. The authors reply: Study selection for meta-analyses.The American journal of emergency medicine · 2021
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  18. Article
  19. Observational
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Michael W Sjoding1 Department of Internal Medicine.
Timothy P Hofer1 Department of Internal Medicine.
Ivan Co1 Department of Internal Medicine.
Jakob I McSparron1 Department of Internal Medicine.
Theodore J Iwashyna1 Department of Internal Medicine.
University Of Medicine 1 Yangon · MMVA Center for Clinical Management Research · USUniversity of Michigan · US

Funding

Data-Driven Identification of the Acute Respiratory Distress SyndromeK01HL136687 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SJODING, MICHAEL WILLIAM · 2017 to 2021
$862k
NHLBI NIH HHS K01 HL136687NHLBI NIH HHS L30 HL138779
6 · The paper itself

Abstract

rationaleBecause the Berlin definition of acute respiratory distress syndrome (ARDS) has only moderate reliability, physicians disagree about the diagnosis of ARDS in some patients. Understanding the clinical differences between patients with agreement and disagreement about the diagnosis of ARDS may provide insight into the epidemiology and pathophysiology of this syndrome, and inform strategies to improve the reliability of ARDS diagnosis.

objectivesTo characterize patients with diagnostic disagreement about ARDS among critical-care-trained physicians and compare them with patients with a consensus that ARDS developed.

methodsPatients with acute hypoxemic respiratory failure (arterial oxygen tension/pressure [Pa

resultsAmong 738 patients reviewed, 110 (15%) had consensus-ARDS, 100 (14%) had disagreement, and 528 (72%) did not have ARDS. ARDS diagnosis rates ranged from 9% to 47% across clinicians. Patients with disagreement had baseline comorbidity rates similar to those of patients with consensus-ARDS, but lower rates of ARDS risk factors and less severe measures of lung injury. Mean days of severe hypoxemia (Pa

conclusionsDisagreement about the diagnosis of ARDS is common and can be partly explained by the difficulty of dichotomizing patients along a continuous spectrum of ARDS manifestations. Considering both the presence of key ARDS risk factors and hypoxemia severity can help guide clinicians in identifying patients with diagnosis of ARDS agreed upon by a consensus of physicians.

Indexed as

Hospital MortalityBlood Gas AnalysisConsensusFemaleHumansLogistic ModelsLungMaleMichiganMiddle AgedRespiration, ArtificialRespiratory Distress SyndromeRespiratory Function TestsRetrospective StudiesRisk FactorsTertiary Care Centersacute lung injurydiagnosisepidemiologyrisk factors

Identifiers

PMID30321489
PMCPMC6376946
OpenAlexW2897550520

What OpenQuestion holds

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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.