Evidence map›Paper›PMID 26309693›Full record

ArticleInternational journal of clinical and experimental medicine2015

Effect of edaravone on serum SP-A and arterial blood gas in patients with lobectomy.

Li Song, Feng Xiong, Xue-Juan Zhang, Wei-Yi Liu, Yang Zhao, Wei Feng

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. 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
0.2field-weighted citation impact, top 40% 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 2 institutions in 1 country.

Li SongDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University Qingdao 266000, China.
Feng XiongDepartment of Neurosurgery, Rizhao People's Hospital Rizhao, China.
Xue-Juan ZhangDepartment of Medicine, The Affiliated Hospital of Qingdao University Qingdao 266000, China.
Wei-Yi LiuDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University Qingdao 266000, China.
Yang ZhaoDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University Qingdao 266000, China.
Wei FengDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University Qingdao 266000, China.
Qingdao University · CNPeople’s Hospital of Rizhao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo discuss the effect of edaravone on serum pulmonary surfactant protein A (SP-A) and arterial blood gas (ABG) in patients with thoracoscopic lobectomy.

methods40 lung cancer patients with right side of lobectomy were randomly divided into control group (group C, 20 cases) and edaravone group (group E, 20 cases). Group E was treated edaravone (1 mg/kg) between induction and skin incision, dropping within 30 min; group C was treated with equivalent normal saline. The venous and arterial blood were collected in both groups immediately before incision (T0), after 1 h of one-lung ventilation 1 h (T1) and in 1 h after lungs ventilation (T2) for ABG analysis and measurement of serum SP-A level. Results After OLV, serum SP-A levels were significantly increased in both groups (P < 0.05); compared with group C, serum levels of SP-A were reduced (P < 0.05) and ABG was significantly improved in group E.

conclusionEdaravone can reduce serum SP-A levels in patients with lobectomy and alleviate acute lung injury to a certain extent in surgery.

Indexed as

ABG analysisedaravonelung ventilationSP-A

Identifiers

PMID26309693
PMCPMC4538190
OpenAlexW1161049237

What OpenQuestion holds

Textmetadata
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.