Evidence map›Paper›PMID 38432694›Full record

ReviewCritical care clinics2024

Diagnosis and Management of Acute Respiratory Failure.

Madeline Lagina, Thomas S Valley

Open access · greenAbstract readReview
In one paragraph

Review in Critical care clinics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
9.6field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
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  10. A prediction model for postoperative respiratory failure in patients with traumatic cervical spinal cord injury using interpretable machine learning.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  11. Dead space in critical care: a practical approach with clinical scenarios.Journal of anesthesia, analgesia and critical care · 2026
    Review
  12. Article
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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

2 authors at 2 institutions in 1 country.

Madeline LaginaDivision of Pulmonary and Critical Care, Department of Medicine, University of Michigan, Ann Arbor, MI, USA. Electronic address: https://twitter.com/maddielagina.
Thomas S ValleyDivision of Pulmonary and Critical Care, Department of Medicine, University of Michigan, Ann Arbor, MI, USA; Center for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Veterans Affairs, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA. Electronic address: valleyt@med.umich.edu.
University of Michigan–Ann Arbor · USVA Ann Arbor Healthcare System · US

Funding

Promoting Equity via Change in Practice for Respiratory Failure (PRECIPICE)R01HL157361 · NHLBI · NEW YORK UNIVERSITY · PI ARMSTRONG-HOUGH, MARI, VALLEY, THOMAS SEBASTIAN · 2022 to 2025
$2.7M
Preventing avoidable deaths from pneumonia by improving use of intensive careK23HL140165 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VALLEY, THOMAS SEBASTIAN · 2018 to 2022
$915k
NHLBI NIH HHS K23 HL140165NHLBI NIH HHS R01 HL157361
6 · The paper itself

Abstract

Acute hypoxemic respiratory failure is defined by Pao

Indexed as

HypoventilationRespiratory Distress SyndromeHumansDiagnosisHypercapniaHypoxemiaManagementRespiratory failure

Identifiers

PMID38432694
PMCPMC10910131
OpenAlexW4391234269

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.