Evidence map›Paper›PMID 26380992›Full record

ArticleAnnals of intensive care2015

Non-invasive monitoring of oxygen delivery in acutely ill patients: new frontiers.

Azriel Perel

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06123039 (Use of Heart-lung Interaction Parameters to Predict Haemodynamic Tolerance to the Open Lung Approach With Individualised PEEP During Invasive Mechanical Ventilation in the Operating Room), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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.

NCT06123039 completednot on this mapstarted 2023, after this paper: background citation

Use of Heart-lung Interaction Parameters to Predict Haemodynamic Tolerance to the Open Lung Approach With Individualised PEEP During Invasive Mechanical Ventilation in the Operating Room

TypeobservationalSponsorHospital Universitario La FeRan2023 to 2025Enrolled72ConditionsAnesthesia, Perioperative/Postoperative Complications, Hypovolemia, Haemodynamic InstabilityArmsTidal Volume Challenge, Recruitment maneuver obtaining individualised PEEP
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Multi-scale neural decoding and analysis.Journal of neural engineering · 2021
    Review
  3. Review
  4. 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

1 author at 1 institution in 1 country.

Azriel PerelAnesthesiology and Intensive Care, Sheba Medical Center, Tel Aviv University, 52621, Tel Aviv, Israel. perelao@shani.net.
Sheba Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypovolemia, anemia and hypoxemia may cause critical deterioration in the oxygen delivery (DO2). Their early detection followed by a prompt and appropriate intervention is a cornerstone in the care of critically ill patients. And yet, the remedies for these life-threatening conditions, namely fluids, blood and oxygen, have to be carefully titrated as they are all associated with severe side-effects when administered in excess. New technological developments enable us to monitor the components of DO2 in a continuous non-invasive manner via the sensor of the traditional pulse oximeter. The ability to better assess oxygenation, hemoglobin levels and fluid responsiveness continuously and simultaneously may be of great help in managing the DO2. The non-invasive nature of this technology may also extend the benefits of advanced monitoring to wider patient populations.

Indexed as

Blood transfusionFluid responsivenessMonitoringOxygenationPlethysmographic variation index (PVI)Pulse oximetry

Identifiers

PMID26380992
PMCPMC4573965
OpenAlexW1957216429

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.