Evidence map›Paper›PMID 39156987›Full record

ArticleOpen life sciences2024

Association of low attenuation area scores with pulmonary function and clinical prognosis in patients with chronic obstructive pulmonary disease.

Xiangli Tang, Chentao Xu, Tianjin Zhou, Yanfei Qiang, Yingzhe Wu

Abstract read
In one paragraph

Article in Open life sciences, 2024. 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
–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

3 citing papers in PubMed.

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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

5 authors.

Xiangli TangDepartment of Radiology, Changxing People's Hospital, Huzhou 313100, Zhejiang, China.
Chentao XuDepartment of Radiology, Changxing People's Hospital, Huzhou 313100, Zhejiang, China.
Tianjin ZhouDepartment of Radiology, Changxing People's Hospital, Huzhou 313100, Zhejiang, China.
Yanfei QiangDepartment of Respiratory, Changxing People's Hospital, Huzhou 313100, Zhejiang, China.
Yingzhe WuDepartment of Radiology, Changxing People's Hospital, Huzhou 313100, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate the relationship between low attenuation area (LAA) scores, pulmonary function parameters, and clinical prognosis in patients with chronic obstructive pulmonary disease (COPD). COPD patients were divided into four LAA-based grades. Various lung function parameters were measured and correlated with LAA scores. Patient symptoms were examined using the St. George's Respiratory Questionnaire (SGRQ) and exercise capacity using the 6-min walk test (6MWT). Statistical analysis determined the significance of differences. Higher levels of LAA were associated with decreased lung function and airflow limitations, suggesting a positive relationship between the two. Clinical symptom scores increased as COPD severity based on LAA stratification worsened. Reduced exercise capacity was shown by a substantial decline in 6MWT scores as COPD severity increased. As LAA scores increased, SGRQ scores increased, indicating a decreased quality of life (QOL). The study demonstrated a relationship between LAA scores and COPD severity. High LAA scores were associated with poor lung function, worse clinical symptoms, limited exercise capacity, and lower QOL. These findings show that LAA scores are clinically relevant for disease severity assessment and COPD management. Further research is required to determine LAA scores' prognostic significance in disease progression and treatment response to enhance COPD therapy.

Indexed as

clinical prognosisCOPDcorrelation studyLAA scorepulmonary function

Identifiers

PMID39156987
PMCPMC11330171

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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.