Evidence map›Paper›PMID 38361987›Full record

ArticleMethodsX2024

Establishment of a spontaneous ventilation anesthesia model for beagle dogs.

Yuan Zeng, Hui Liu, Fei Cui, Weipeng Cai, Jianxing He, Jun Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Yuan ZengDepartment of Thoracic Surgery & Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hui LiuDepartment of Anesthesia, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Fei CuiDepartment of Thoracic Surgery & Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Weipeng CaiDepartment of Cardiothoracic Surgery, Shantou Central Hospital, Shantou, China.
Jianxing HeDepartment of Thoracic Surgery & Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jun LiuDepartment of Thoracic Surgery & Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
First Affiliated Hospital of Guangzhou Medical University · CNShantou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While spontaneous ventilation (SV) anesthesia is in use for clinical patients, there is still little systematic experimental research into its basic aspects. The rabbit SV model that we established previously has some limitations including the model being too small, differences in anesthetic drugs and anesthesia procedures, so we set out to establish an SV anesthesia model for beagle dogs.•Single lumen tracheal intubation was performed on beagles connecting a ventilator, and the anesthetic dosage was adjusted for spontaneous ventilation before surgery.•5 mL of 1 % lidocaine was applied as a local infiltration anesthesia at the surgical incision.•After thoracotomy, 5 mL of 1% lidocaine was sprayed onto the surface of the lungs and a T3-T7 intercostal nerve block (1:1 2 % lidocaine:0.75 % ropivacaine) was performed.

Indexed as

Anesthesia modelBeagle dogSpontaneous ventilationSpontaneous ventilation anesthesia model for beagle dogs

Identifiers

PMID38361987
PMCPMC10867753
OpenAlexW4391574630

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.