Evidence map›Paper›PMID 41514291›Full record

ReviewJournal of anesthesia, analgesia and critical care2026

Dead space in critical care: a practical approach with clinical scenarios.

Francesco Cipulli, Andrea Sanna, Roberta Garberi, Sergio Lassola, Mario Forcione, Giacomo Bellani, Giuseppe Foti, Emanuele Rezoagli

Abstract readReview
In one paragraph

Review in Journal of anesthesia, analgesia 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

8 authors.

Francesco CipulliAnesthesia and Intensive Care 1, Santa Chiara Hospital, APSS, Largo Medaglie d'Oro 9, Trento, 38112, Italy.
Andrea SannaAnesthesia and Intensive Care 1, Santa Chiara Hospital, APSS, Largo Medaglie d'Oro 9, Trento, 38112, Italy.
Roberta GarberiSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, Monza, 20900, Italy.
Sergio LassolaAnesthesia and Intensive Care 1, Santa Chiara Hospital, APSS, Largo Medaglie d'Oro 9, Trento, 38112, Italy.
Mario ForcioneSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, Monza, 20900, Italy.
Giacomo BellaniAnesthesia and Intensive Care 1, Santa Chiara Hospital, APSS, Largo Medaglie d'Oro 9, Trento, 38112, Italy.
Giuseppe FotiSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, Monza, 20900, Italy.
Emanuele RezoagliSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, Monza, 20900, Italy. emanuele.rezoagli@unimib.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon dioxide (CO₂) is a byproduct of cellular metabolism, with the human body storing approximately 120 liters in various chemical forms across different compartments. Through gas exchange and tidal ventilation, arterial CO₂ and blood pH are tightly regulated within the narrow ranges required for cellular function. Not all tidal ventilation, however, contributes to CO₂ elimination: the portion of each breath that does not participate in gas exchange is defined as dead space. First described in 1891 by Christian Bohr in his seminal work "Über die Lungenatmung", the concept gained practical applicability in 1938 when Enghoff proposed replacing the unmeasurable alveolar partial pressure CO₂ (PACO₂) with the arterial partial pressure of CO

Indexed as

ARDSDead spaceElectrical impedance tomographyPulmonary shuntRespiratory failureVolumetric capnography

Identifiers

PMID41514291
PMCPMC12882433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.