Evidence map›Paper›PMID 38090315›Full record

ArticleJournal of thoracic disease2023

Characteristics of pulmonary infarction in patients with acute pulmonary embolism in China: a single-center retrospective observational study.

Yuan Yuan, Huan-Yong Wang, Zhen-Chuan Xing, Zi-Liang Hou, Jin-Xiang Wang, Shuai Zhang

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2023. 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
1.1field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Yuan YuanDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Huan-Yong WangDepartment of Radiology, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Zhen-Chuan XingDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Zi-Liang HouDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Jin-Xiang WangDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Shuai ZhangDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Beijing Luhe Hospital Affiliated to Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary infarction (PI) is an uncommon complication of pulmonary embolism (PE). The risk factors of PI are still relatively unclear. Methods: This was a single-center retrospective review conducted on 500 patients with PE. After applying the inclusion and exclusion criteria, 386 patients diagnosed with PE were enrolled in our study. These patients were then categorized into the PI group (n=64) and the non-PI group (n=322). A comparison was conducted between the two groups regarding the clinical characteristics. Results: The occurrence of PI secondary to PE was 16.58%. In univariate analysis, recent trauma (21.9% Conclusions: Young patients were found to be a higher risk of PI. Pleural effusion was found to be a factor for PI. PI should be considered when pleuritic chest pain, hemoptysis, or lower limb edema/pain are present with peripheral opacity.

Indexed as

Pulmonary embolism (PE)pulmonary infarction (PI)risk factor

Identifiers

PMID38090315
PMCPMC10713312
OpenAlexW4389100822

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.