Evidence map›Paper›PMID 30650094›Full record

ArticlePloS one2019

Pre-dialysis acute care hospitalizations and clinical outcomes in dialysis patients.

Silvi Shah, Karthikeyan Meganathan, Annette L Christianson, Anthony C Leonard, Charuhas V Thakar

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

5 authors.

Silvi ShahDivision of Nephrology, Kidney CARE Program, University of Cincinnati, Cincinnati, Ohio, United States of America.ORCID 0000-0002-9941-9404
Karthikeyan MeganathanDepartment of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States of America.
Annette L ChristiansonDepartment of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States of America.
Anthony C LeonardDepartment of Family and Community Medicine, University of Cincinnati, Cincinnati, Ohio, United States of America.
Charuhas V ThakarDivision of Nephrology, Kidney CARE Program, University of Cincinnati, Cincinnati, Ohio, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with chronic kidney disease (CKD), a precursor of end stage renal disease (ESRD), face an increasing burden of hospitalizations. Although mortality on dialysis is highest during the first year, the impact of pre-dialysis acute hospitalizations on clinical outcomes in dialysis patients remains unknown.

methodsWe evaluated 170,897 adult patients who initiated dialysis between 1/1/2010 and 12/31/2014 with linked Medicare claims from the United States Renal Data System. Using logistic regression models, we examined the association of 2-year pre-dialysis hospitalization on the primary outcome of 1-year all-cause mortality. Secondary outcomes included 90-day mortality, type of initial dialysis modality and type of vascular access at hemodialysis initiation.

resultsMean age was 72.7 ± 11.0 years. In the study sample, 76.0% of patients had at least one pre-dialysis hospitalization. Compared to patients with no pre-dialysis hospitalization, the adjusted 1-year mortality was higher with pre-dialysis cardiovascular related hospitalization (odds ratio [OR], 1.63; 95% confidence interval [CI], 1.57-1.68), infection related hospitalization (OR, 1.51; CI, 1.45-1.57), both cardiovascular and infection hospitalization (OR, 1.91; CI, 1.83-1.99), and neither-cardiovascular nor-infection hospitalization (OR, 1.23; CI, 1.19-1.27). Additionally, the adjusted odds of hemodialysis vs. peritoneal dialysis as the initial dialysis modality were higher, whereas adjusted odds to initiate hemodialysis with an arteriovenous access vs. central venous catheter were lower in patients with any type of hospitalization.

conclusionPre-dialysis hospitalization is an independent predictor of 1-year mortality in dialysis patients. Reducing the risk of pre-dialysis hospitalization may provide opportunities to improve quality of care in ESRD.

Indexed as

AdultAgedAged, 80 and overDialysisFemaleHospitalizationHumansKidney Failure, ChronicLogistic ModelsMaleMiddle AgedOdds RatioPrognosisRegression AnalysisRenal DialysisRenal Insufficiency, Chronic

Identifiers

PMID30650094
PMCPMC6334901

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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.