Evidence mapPaperPMID 39280690Full record

Observational studyCanadian respiratory journal2024

Nomograms for Predicting High Hospitalization Costs and Prolonged Stay among Hospitalized Patients with pAECOPD.

Nafeisa Dilixiati, Mengyu Lian, Ziliang Hou, Jie Song, Jingjing Yang, Ruiyan Lin, Jinxiang Wang

Abstract readObservational Study
In one paragraph

Observational study in Canadian respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Nafeisa DilixiatiDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.
Mengyu LianDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.
Ziliang HouDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.ORCID 0000-0002-1101-6740
Jie SongDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.
Jingjing YangDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.
Ruiyan LinDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.
Jinxiang WangDepartment of Pulmonary and Critical Care Medicine Beijing Luhe Hospital Capital Medical University, Beijing, China.ORCID 0009-0002-0266-8170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop nomograms to predict high hospitalization costs and prolonged stays in hospitalized acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients with community-acquired pneumonia (CAP), also known as pAECOPD. A total of 635 patients with pAECOPD were included in this observational study and divided into training and testing sets. Variables were initially screened using univariate analysis, and then further selected using a backward stepwise regression. Multivariable logistic regression was performed to establish nomograms. The predictive performance of the model was evaluated using the receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration curve, and decision curve analysis (DCA) in both the training and testing sets. Finally, the logistic regression analysis showed that elevated white blood cell count (WBC>10 × 10

Indexed as

Community-Acquired InfectionsHospitalizationLength of StayNomogramsPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overFemaleHospital CostsHumansLeukocyte CountLogistic ModelsMaleMiddle AgedPneumoniaRisk Factors

Identifiers

PMID39280690
PMCPMC11398965

What Socratic holds

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LicenceCC BY
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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 Socratic graph.