Evidence map›Paper›PMID 34654406›Full record

ArticleBMC pulmonary medicine2021

Prediction of readmission in patients with acute exacerbation of chronic obstructive pulmonary disease within one year after treatment and discharge.

Lili Chen, Shiping Chen

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
–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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

2 authors.

Lili ChenDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121#, Gulou District, Nanjing, 210000, Jiangsu, China.
Shiping ChenDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121#, Gulou District, Nanjing, 210000, Jiangsu, China. shipingchenmedicine@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the risk factors and construct a logistic model and an extreme gradient boosting (XGBoost) model to compare the predictive performances for readmission in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients within one year.

methodsIn total, 636 patients with AECOPD were recruited and divided into readmission group (n = 449) and non-readmission group (n = 187). Backward stepwise regression method was used to analyze the risk factors for readmission. Data were divided into training set and testing set at a ratio of 7:3. Variables with statistical significance were included in the logistic model and variables with P < 0.1 were included in the XGBoost model, and receiver operator characteristic (ROC) curves were plotted.

resultsPatients with acute exacerbations within the previous 1 year [odds ratio (OR) = 4.086, 95% confidence interval (CI) 2.723-6.133, P < 0.001), long-acting β agonist (LABA) application (OR = 4.550, 95% CI 1.587-13.042, P = 0.005), inhaled corticosteroids (ICS) application (OR = 0.227, 95% CI 0.076-0.672, P = 0.007), glutamic-pyruvic transaminase (ALT) level (OR = 0.985, 95% CI 0.971-0.999, P = 0.042), and total CAT score (OR = 1.091, 95% CI 1.048-1.136, P < 0.001) were associated with the risk of readmission. The AUC value of the logistic model was 0.743 (95% CI 0.692-0.795) in the training set and 0.699 (95% CI 0.617-0.780) in the testing set. The AUC value of XGBoost model was 0.814 (95% CI 0.812-0.815) in the training set and 0.722 (95% CI 0.720-0.725) in the testing set.

conclusionsThe XGBoost model showed a better predictive value in predicting the risk of readmission within one year in the AECOPD patients than the logistic regression model. The findings of our study might help identify patients with a high risk of readmission within one year and provide timely treatment to prevent the reoccurrence of AECOPD.

Indexed as

Patient ReadmissionPulmonary Disease, Chronic ObstructiveAcute DiseaseAdrenal Cortex HormonesAgedAged, 80 and overChinaDisease ProgressionFemaleHumansLogistic ModelsMaleMiddle AgedPatient DischargeRisk AssessmentRisk FactorsAdrenal Cortex HormonesAcute exacerbation of chronic obstructive pulmonary diseaseLogistic modelReadmissionXGBoost model

Identifiers

PMID34654406
PMCPMC8518323

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LicenceCC BY
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Registered trials

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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.