Evidence map›Paper›PMID 35833098›Full record

ArticlePulmonary circulation2022

Pulmonary artery enlargement predicts poor survival in patients with COPD: A meta-analysis.

Huaqiao Chen, Tingting Shu, Lu Wang, Lingzhi Yang, Changchun Hu, Shanshan Du, Huang Wei

Open access · goldAbstract read
In one paragraph

Article in Pulmonary circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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 at 1 institution in 1 country.

Huaqiao ChenDepartment of Cardiology The First Affiliated Hospital of Chongqing Medical University Chongqing China.ORCID 0000-0001-6395-3202
Tingting ShuDepartment of Cardiology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Lu WangDepartment of Cardiology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Lingzhi YangDepartment of Cardiology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Changchun HuDepartment of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Shanshan DuDepartment of Cardiology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Huang WeiDepartment of Cardiology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No previous meta-analysis has evaluated the relationship between pulmonary artery enlargement (PAE) measured by computed tomography (CT) and prognosis for patients with chronic obstructive pulmonary disease (COPD). Recently, several studies have suggested poor survival and reduced exercise capacity in COPD patients with PAE on CT scan, but there were conflicting results. We aimed to assess the prognostic value of PAE-CT in patients with COPD. Relevant studies were identified by searching major databases. Pooled outcomes were determined to assess the prognostic value of PAE-CT in COPD patients. Eighteen studies including 5694 participants were included. PAE indicated higher mortality in COPD patients (odds ratio [OR] = 3.06; 95% confidence interval [95% CI]: 1.76-5.32;

Indexed as

chronic obstructive pulmonary diseasecomputed tomographyodds ratioprognosispulmonary vascular disease

Identifiers

PMID35833098
PMCPMC9262316
OpenAlexW4282835442

What OpenQuestion holds

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LicenceCC BY-NC
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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.