Evidence map›Paper›PMID 36983668›Full record

ReviewJournal of personalized medicine2023

Individualizing Fluid Management in Patients with Acute Respiratory Distress Syndrome and with Reduced Lung Tissue Due to Surgery-A Narrative Review.

Jan Benes, Jiri Kasperek, Olga Smekalova, Vaclav Tegl, Jakub Kletecka, Jan Zatloukal

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. 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
0.3field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Jan BenesDepartment of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic.ORCID 0000-0002-9783-9683
Jiri KasperekDepartment of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic.
Olga SmekalovaDepartment of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic.ORCID 0000-0002-6171-5566
Vaclav TeglDepartment of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic.
Jakub KleteckaDepartment of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic.
Jan ZatloukalDepartment of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic.
Charles University · CZ

Funding

Charles University CooperacioFaculty hospital in Plzen FNPl, 00669806
6 · The paper itself

Abstract

Fluids are the cornerstone of therapy in all critically ill patients. During the last decades, we have made many steps to get fluid therapy personalized and based on individual needs. In patients with lung involvement-acute respiratory distress syndrome-finding the right amount of fluids after lung surgery may be extremely important because lung tissue is one of the most vulnerable to fluid accumulation. In the current narrative review, we focus on the actual perspectives of fluid therapy with the aim of showing the possibilities to tailor the treatment to a patient's individual needs using fluid responsiveness parameters and other therapeutic modalities.

Indexed as

acute respiratory distress syndromefluid responsivenessfluidshemodynamicsthoracic surgery

Identifiers

PMID36983668
PMCPMC10056120
OpenAlexW4323565308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.