Evidence map›Paper›PMID 41067859›Full record

ArticleThe Journal of international medical research2025

Cardiopulmonary bypass-mediated lung ischemia-reperfusion injury: A protective role of sitaxentan.

Zhengjia Wang, Renshu Zhan, Liqun Mo, Yingying Zhang, Yirong Chen, Li Liu, Yiping Bai

Abstract read
In one paragraph

Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Zhengjia WangDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, China.ORCID 0009-0005-1605-2045
Renshu ZhanDepartment of Anesthesiology, Gulin People's Hospital, China.
Liqun MoDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, China.
Yingying ZhangDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, China.
Yirong ChenDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, China.
Li LiuDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, China.
Yiping BaiDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundCardiopulmonary bypass is widely used in cardiac surgery but often leads to lung ischemia-reperfusion injury, a major cause of morbidity and mortality. Despite advances in critical care, effective prevention remains challenging. Sitaxentan, a selective endothelin receptor antagonist, has shown protective effects in ischemia-reperfusion models, suggesting its potential in mitigating lung ischemia-reperfusion injury. This study investigated the efficacy of sitaxentan in reducing lung ischemia-reperfusion injury during cardiopulmonary bypass.MethodsTwenty-four female beagles were divided into sham, cardiopulmonary bypass, and endothelin receptor antagonist (sitaxentan-treated) groups. Hemodynamics, arterial blood gas, lung damage scores, wet/dry ratio, and levels of various biomarkers were evaluated.ResultsLung damage scores in the endothelin receptor antagonist group were lower than those in the cardiopulmonary bypass group but higher than those in the sham group (

Indexed as

Cardiopulmonary BypassIsoxazolesLungReperfusion InjuryThiophenesAnimalsDisease Models, AnimalDogsEndothelin Receptor AntagonistsFemaleHemodynamicsEndothelin Receptor AntagonistsIsoxazolessitaxsentanThiophenescardiac surgerycardiopulmonary bypassischemia reperfusionLungsitaxentan

Identifiers

PMID41067859
PMCPMC12515309

What OpenQuestion holds

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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.