Evidence map›Paper›PMID 25061552›Full record

ArticleSpringerPlus2014

Predictors for mortality in hospitalized patients with chronic obstructive pulmonary disease.

Yan Cheng, Matthew E Borrego, Floyd J Frost, Hans Petersen, Dennis W Raisch

Open access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  6. The Importance of Mid-to-Late-Life Body Mass Index Trajectories on Late-Life Gait Speed.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
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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 at 3 institutions in 1 country.

Yan ChengDepartment of Pharmacotherapy, University of Utah, Salt Lake City, Utah USA.
Matthew E BorregoPharmacoeconomics, Epidemiology, Public Policy and Outcome Research, College of Pharmacy, University of New Mexico, Albuquerque, NM USA.
Floyd J FrostDepartment of Family and Community Medicine, School of Medicine, University of New Mexico, Albuquerque, NM USA.
Hans PetersenLovelace Respiratory Research Institute, Albuquerque, NM USA.
Dennis W RaischPharmacoeconomics, Epidemiology, Public Policy and Outcome Research, College of Pharmacy, University of New Mexico, Albuquerque, NM USA.
University of New Mexico · USLovelace Respiratory Research Institute · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) has been the only leading cause of death associated with a continuously increasing trend in the US over the past 30 years.

objectivesThe aim of this research was to identify predictors for all-cause in-hospital mortality for COPD patients.

methodsWe conducted a cross-sectional study of patients with the discharge diagnosis of COPD, utilizing the 2007 Premier Perspective database. Inpatients aged 40 years and above were selected if they had a discharge with a primary diagnosis of COPD between January 1, 2007 and December 31, 2007. All data analyses were based on individual level. If a patient had multiple discharges, only the last discharge was included for mortality analysis. Predictors for mortality were identified by multiple logistic regressions. Bonferroni correction for multiple logistic regression models was adapted to control for family-wise errors.

resultsThe total of 57,224 patients was selected for data analysis in the study. All-cause in-hospital mortality for patients with COPD was 2.4%. Older age, insurance coverage, elective admission, intensive care unit admission, prolonged length of stay, increased Deyo-adapted Charlson Index (DCI) score and Elixhauser comorbidities of renal failure, metastatic cancer, solid tumor without metastasis, and weight loss were identified as independent predictors for all-cause in-hospital mortality. Antibiotics and β-blockers were predictors of lower all-cause in-hospital mortality risk after adjusting for other factors.

conclusionsThe nationwide discharge database provides useful information to identify predictors for all-cause in-hospital mortality of patients with COPD.

Indexed as

Chronic obstructive pulmonary diseaseMortalityPredictor

Identifiers

PMID25061552
PMCPMC4108717
OpenAlexW2104017839

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.