Evidence map›Paper›PMID 28840834›Full record

ArticleBioMedicine2017

Risk of contracting pneumonia among patients with predialysis chronic kidney disease: a population-based cohort study in Taiwan.

Shih-Wei Lai, Cheng-Li Lin, Kuan-Fu Liao

Open access · diamondAbstract read
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Article in BioMedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

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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

3 authors at 1 institution in 1 country.

Shih-Wei LaiCollege of Medicine, China Medical University, Taichung 404, Taiwan - Department of Family Medicine, China Medical University Hospital, Taichung 404, Taiwan.
Cheng-Li LinCollege of Medicine, China Medical University, Taichung 404, Taiwan - Management Office for Health Data, China Medical University Hospital, Taichung 404, Taiwan.
Kuan-Fu LiaoGraduate Institute of Integrated Medicine, China Medical University, Taichung 404, Taiwan - College of Medicine, Tzu Chi University, Hualien 970, Taiwan - Department of Internal Medicine, Taichung Tzu Chi General Hospital, Taichung 427, Taiwan.
China Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of the study was to investigate the association between predialysis chronic kidney disease and contracting pneumonia in Taiwan.

methodsWe employed a population-based, retrospective cohort design using the database of the Taiwan National Health Insurance (NHI) Program. There were 18807 subjects aged 20-84 years who were newly diagnosed with predialysis chronic kidney disease between 2000 to 2012 as the predialysis chronic kidney disease group and 18807 randomly selected subjects without chronic kidney disease as the non-chronic kidney disease group. The predialysis chronic kidney disease and non-chronic kidney disease groups were matched according to sex, age, comorbidities, and the year of index date. The incidence of contracting pneumonia among both groups at the end of 2013 was calculated. The multivariable Cox proportional hazards regression model was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for contracting pneumonia being associated with predialysis chronic kidney disease.

resultsThe overall incidence of contracting pneumonia was 1.47-fold higher in the predialysis chronic kidney disease group than that in the non-chronic kidney disease group (24.6 vs. 16.7 per 1, 000 person-years, 95% CI 1.40, 1.55). After adjusting for co-variables, the HR of contracting pneumonia became 1.52 for subjects with predialysis chronic kidney disease (95% CI 1.43, 1.60) compared to subjects without chronic kidney disease. With even further analysis, in the absence of any comorbidity, the adjusted HR of contracting pneumonia was 1.53 for subjects with predialysis chronic kidney disease alone (95% CI 1.32, 1.76).

conclusionsPatients with predialysis chronic kidney disease have a 1.52-fold increased risk of contracting pneumonia as compared to those with non-chronic kidney disease. Even in the absence of any comorbidity, a greater than average risk of contracting pneumonia remains present.

Identifiers

PMID28840834
PMCPMC5571660
OpenAlexW2748319718

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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.