Evidence map›Paper›PMID 38990335›Full record

SynthesisIntensive care medicine2024

Lower or higher oxygenation targets in the intensive care unit: an individual patient data meta-analysis.

Frederik Mølgaard Nielsen, Thomas L Klitgaard, Niels Henrik Bruun, Morten H Møller, Olav L Schjørring, Bodil S Rasmussen

Registry-linked trialAbstract readMeta-Analysis
In one paragraph

Synthesis in Intensive care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04425031 (Handling Oxygenation Targets in COVID-19 Patients With Acute Hypoxaemic Respiratory Failure in the Intensive Care Unit), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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.

NCT04425031 phase4completednot on this map

Handling Oxygenation Targets in COVID-19 Patients With Acute Hypoxaemic Respiratory Failure in the Intensive Care Unit: A Randomised Clinical Trial of a Lower Versus a Higher Oxygenation Target

TypeinterventionalSponsorAalborg University HospitalRan2020 to 2024Enrolled726ConditionsHypoxemic Respiratory Failure, Oxygen ToxicityArmsLow oxygenation target, High oxygenation target
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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.

Frederik Mølgaard NielsenDepartment of Anaesthesia and Intensive Care, Aalborg University Hospital, Hobrovej 18-21, 9000, Aalborg, Denmark. frederik.nielsen@rn.dk.ORCID 0000-0002-0071-1203
Thomas L KlitgaardDepartment of Anaesthesia and Intensive Care, Aalborg University Hospital, Hobrovej 18-21, 9000, Aalborg, Denmark.
Niels Henrik BruunUnit of Clinical Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Morten H MøllerDepartment of Intensive Care, Rigshospitalet, Copenhagen, Denmark.
Olav L SchjørringDepartment of Anaesthesia and Intensive Care, Aalborg University Hospital, Hobrovej 18-21, 9000, Aalborg, Denmark.
Bodil S RasmussenDepartment of Anaesthesia and Intensive Care, Aalborg University Hospital, Hobrovej 18-21, 9000, Aalborg, Denmark.

Funding

Danish Ministry of Higher Education and Science 0238-00004BInnovationsfonden 4108-00011A
6 · The paper itself

Abstract

purposeOptimal oxygenation targets for patients with acute hypoxemic respiratory failure in the intensive care unit (ICU) are not clearly defined due to substantial variability in design of previous trials. This study aimed to perform a pre-specified individual patient data meta-analysis of the Handling Oxygenation Targets in the ICU (HOT-ICU) and the Handling Oxygenation Targets in coronavirus disease 2019 (COVID-19) (HOT-COVID) trials to compare targeting a partial pressure of arterial oxygen (PaO

methodsWe assessed 90-day all-cause mortality and days alive without life support in 90 days using a generalised mixed model. Heterogeneity of treatment effects (HTE) was evaluated in 14 subgroups, and results graded using the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN).

resultsAt 90 days, mortality was 40.4% (724/1792) in the 8 kPa group and 40.9% (733/1793) in the 12 kPa group (risk ratio, 0.99; 95% confidence interval [CI] 0.92-1.07; P = 0.80). No difference was observed in number of days alive without life support. Subgroup analyses indicated more days alive without life support in COVID-19 patients targeting 8 kPa (P = 0.04) (moderate credibility), and lower mortality (P = 0.03) and more days alive without life support (P = 0.02) in cancer-patients targeting 12 kPa (low credibility).

conclusionThis study reported no overall differences comparing a PaO

Indexed as

COVID-19Intensive Care UnitsFemaleHumansMaleOxygenOxygen Inhalation TherapyRespiratory InsufficiencySARS-CoV-2OxygenCOVID-19HypoxiaIndividual patient data meta-analysisIntensive care unitsOxygen inhalation therapyRespiratory insufficiency

Identifiers

PMID38990335
PMCPMC11306534

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Registered trials

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.