Evidence map›Paper›PMID 29527841›Full record

ArticleTuberculosis and respiratory diseases2018

Comparison of Multiple Chronic Obstructive Pulmonary Disease (COPD) Indices in Chinese COPD Patients.

Jinsong Zhang, Anastasia Miller, Yongxia Li, Qinqin Lan, Ning Zhang, Yanling Chai, Bing Hai

Open access · diamondAbstract read
In one paragraph

Article in Tuberculosis and respiratory diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Jinsong ZhangDepartment of Urology, Ward 3, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, China.
Anastasia MillerDepartment of Public Affairs, University of Central Florida, Orlando, FL, USA.
Yongxia LiDepartment of Respiratory Medicine, Ward 2, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, China.
Qinqin LanDepartment of Public Affairs, University of Central Florida, Orlando, FL, USA.
Ning ZhangDepartment of Interprofessional Health Sciences and Health Administration, Seton Hall University, South Orange, NJ, USA.
Yanling ChaiDepartment of Respiratory Medicine, Ward 2, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, China.
Bing HaiDepartment of Respiratory Medicine, Ward 2, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, China. 1910645481@qq.com.
University of Central Florida · USKunming Medical University · CNSeton Hall University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a serious chronic condition with a global impact. Symptoms of COPD include progressive dyspnea, breathlessness, cough, and sputum production, which have a considerable impact on the lives of patients. In addition to the human cost of living with COPD and the resulting death, COPD entails a huge economic burden on the Chinese population, with patients spending up to one-third of the average family income on COPD management in some regions is clinically beneficial to adopt preventable measures via prudent COPD care utilization, monetary costs, and hospitalizations.

methodsToward this end, this study compared the relative effectiveness of six indices in predicting patient healthcare utilization, cost of care, and patient health outcome. The six assessment systems evaluated included the three multidimensional Body mass index, Obstruction, Dyspnea, Exercise capacity index, Dyspnea, Obstruction, Smoking, Exacerbation (DOSE) index, and COPD Assessment Test index, or the unidimensional measures that best predict the future of patient healthcare utilization, cost of care, and patient health outcome among Chinese COPD patients.

resultsMultiple linear regression models were created for each healthcare utilization, cost, and outcome including a single COPD index and the same group of demographic variables for each of the outcomes.

conclusionWe conclude that the DOSE index facilitates the prediction of patient healthcare utilization, disease expenditure, and negative clinical outcomes. Our study indicates that the DOSE index has a potential role beyond clinical predictions.

Indexed as

Costs and Cost AnalysesHealth-Related Quality Of LifePulmonary Disease, Chronic ObstructivePulmonary Function Tests

Identifiers

PMID29527841
PMCPMC5874140
OpenAlexW2790852013

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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.