Evidence map›Paper›PMID 42120062›Full record

ArticleAcute and critical care2026

Optimal oxygenation in the intensive care unit: what recent trials do-and do not-tell us.

Masaji Nishimura

Abstract read
In one paragraph

Article in Acute and critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Masaji NishimuraAizenbashi Hospital, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxygen therapy is one of the most widely used interventions in critical care. Numerous observational studies and randomized controlled trials (RCTs) have evaluated conservative versus liberal oxygenation strategies, yet their results remain inconsistent, a pattern commonly observed in large clinical trials across multiple fields. Recent advances in intensive care unit practices further complicate the interpretation of prior findings, highlighting the need for a clearer framework to interpret oxygenation targets. This narrative review summarizes major observational studies, RCTs, and meta-analyses evaluating oxygenation strategies in critically ill patients. We examine variation in study designs, target and achieved oxygenation levels, and evolving critical care practices. Physiological principles, including oxygen delivery, oxygen utilization, and the oxyhemoglobin dissociation curve, are applied to interpret current evidence and define clinically meaningful safety margins, while acknowledging the limitations of interpreting heterogeneous trial and meta-analytic results. Recent RCTs have found relatively small differences in oxygenation between study groups; both conservative and liberal oxygenation targets are generally within a safe physiological range. However, evidence from the LOCO2 trial indicates excessively low targets may be harmful, suggesting a safer lower limit of approximately peripheral oxygen saturation (SpO2) 92%-93%. Retrospective studies indicate acceptable outcomes with arterial oxygen partial pressure (PaO2) values up to approximately 120 mm Hg. Because the upper portion of the oxyhemoglobin dissociation curve is flat, SpO2 cannot reliably detect hyperoxemia. Rather than determining the superiority of conservative or liberal oxygenation strategies, current evidence supports defining a practical therapeutic window. For most critically ill patients, an SpO2 range of 92-97% likely represents a safe and clinically meaningful target.

Indexed as

critical carehyperoxemiaoxygen saturation targetsoxygen therapy

Identifiers

PMID42120062
PMCPMC13575406

What OpenQuestion holds

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Registered trials

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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.