Evidence map›Paper›PMID 26286518›Full record

ArticleJournal of thrombosis and thrombolysis2016

Close concordance between pulmonary angiography and pathology in a canine model with chronic pulmonary thromboembolism and pathological mechanisms after lung ischemia reperfusion injury.

Chaosheng Deng, Dawen Wu, Zhenguo Zhai, Qichang Lin, Zhanghua Zhong, Yuanhua Yang, Qunlin Chen, Ningfang Lian, Shaoyong Gao, Minxia Yang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 4 institutions in 1 country.

Chaosheng DengDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China. jasonsci7333@163.com.
Dawen WuDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Zhenguo ZhaiDivision of Respiratory and Critical Care Medicine, Beijing Institution of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Qichang LinDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Zhanghua ZhongDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Yuanhua YangDivision of Respiratory and Critical Care Medicine, Beijing Institution of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Qunlin ChenDepartment of Medical Imaging, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Ningfang LianDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Shaoyong GaoDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Minxia YangDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Kaixiong LiuDivision of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Chen WangBeijing Key Laboratory of Respiratory and Pulmonary Circulation, Institute of Respiratory Medicine, Beijing Hospital, Ministry of Health, Beijing, 100730, China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CNBeijing Chao-Yang Hospital · CNBeijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the pulmonary angiography and pathology in a canine model with chronic pulmonary thromboembolism (PTE). The cylindrical blood clots were selectively introduced into the left (n = 10) or right (n = 20) lower pulmonary arteries of dogs. Pulmonary arteriography (PA) was performed before or after embolization. The values after embolization and baseline of mean pulmonary arterial pressure, pulmonary vascular resistance, cardiac output had changed. After 1 or 2 weeks' embolization, local PA demonstrated the abrupt cut-off perfusion defects or webs, bands, and abrupt vascular narrowing. 2 weeks after embolization, the pathology showed that the fibrin networks of the thrombi had multiple recanalization channels, and pulmonary artery had the concentric, lamellar (onion-like) intimal hyperplasia, multilayered, irregular arrangements of endothelial cells, and the infiltration of inflammatory cells. After embolectomy-mediated reperfusion, 2 weeks' subgroup showed destroyed and incomplete alveolar structures, and a large number of exudative cells, primarily neutrophils, and exudate. There close concordance between pulmonary angiography and pathology in a canine model with chronic PTE. The LIRI mechanisms after embolectomy-mediated reperfusion involve the destroyed, incomplete alveolar structures, and infiltration of inflammatory cells, primarily neutrophils.

Indexed as

AngiographyLungPulmonary EmbolismReperfusion InjuryAnimalsBlood PressureChronic DiseaseDisease Models, AnimalDogsVascular ResistanceAnimal modelLung ischemia reperfusion injuryPathologyPulmonary angiographyPulmonary thromboembolism

Identifiers

PMID26286518
PMCPMC4819541
OpenAlexW1802183450

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.