Evidence map›Paper›PMID 35164757›Full record

ArticleRespiratory research2022

Quantitative assessment the longitudinal changes of pulmonary vascular counts in chronic obstructive pulmonary disease.

Sang Won Park, Myoung-Nam Lim, Woo Jin Kim, So Hyeon Bak

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  18. CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.International journal of chronic obstructive pulmonary disease · 2022
    Review
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

4 authors at 2 institutions in 1 country.

Sang Won ParkDepartment of Big Data Medical Convergence, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Myoung-Nam LimDepartment of Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Republic of Korea.
Woo Jin KimDepartment of Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Republic of Korea.
So Hyeon BakDepartment of Radiology, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, Gangwon-do, 24341, Republic of Korea. arsgnm17@gmail.com.ORCID http://orcid.org/0000-0003-1039-7016
Kangwon National University · KRKangwon National University Hospital · KR

Funding

Ministry of Education 2018R1D1A1B07049670Ministry of Science and ICT 2021R1A4A5032806
6 · The paper itself

Abstract

backgroundChest computed tomography (CT) is a widely used method to assess morphological and dynamic abnormalities in chronic obstructive pulmonary disease (COPD). The small pulmonary vascular cross-section (CSA), quantitatively extracted from volumetric CT, is a reliable indicator for predicting pulmonary vascular changes. CSA is associated with the severity of symptoms, pulmonary function tests (PFT) and emphysema and in COPD patients the severity increases over time. We analyzed the correlation longitudinal changes in pulmonary vascular parameters with clinical parameters in COPD patients. MATERIALS AND

methodsA total of 288 subjects with COPD were investigated during follow up period up to 6 years. CT images were classified into five subtypes from normal to severe emphysema according to percentage of low-attenuation areas less than -950 and -856 Hounsfield units (HU) on inspiratory and expiratory CT (LAA-950, LAA-856

resultsN

conclusionsQuantitative computed tomography features faithfully reflected pulmonary vessel alterations, showing in particular that pulmonary vascular alteration started.

Indexed as

AdultAgedAged, 80 and overDisease ProgressionFemaleFollow-Up StudiesForced Expiratory VolumeHumansLungMaleMiddle AgedMultidetector Computed TomographyProspective StudiesPulmonary ArteryPulmonary Disease, Chronic ObstructivePulmonary VeinsChronic obstructive pulmonary diseaseComputed tomographyLongitudinal studyPulmonary function testsPulmonary vascular

Identifiers

PMID35164757
PMCPMC8842934
OpenAlexW4221096445

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.