Evidence map›Paper›PMID 33801694›Full record

ArticleNutrients2021

Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach.

Ewelina Łukaszyk, Katarzyna Bień-Barkowska, Barbara Bień

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Ewelina ŁukaszykDepartment of Geriatrics, Medical University of Bialystok, Fabryczna 27, 15-471 Bialystok, Poland.
Katarzyna Bień-BarkowskaInstitute of Econometrics, Warsaw School of Economics, Madalińskiego 6/8, 02-513 Warsaw, Poland.ORCID 0000-0003-4730-9462
Barbara BieńDepartment of Geriatrics, Medical University of Bialystok, Fabryczna 27, 15-471 Bialystok, Poland.

Funding

Uniwersytet Medyczny w Bialymstoku SUB/1/DN/20/001/3301
6 · The paper itself

Abstract

Identifying factors that affect mortality requires a robust statistical approach. This study's objective is to assess an optimal set of variables that are independently associated with the mortality risk of 433 older comorbid adults that have been discharged from the geriatric ward. We used both the stepwise backward variable selection and the iterative Bayesian model averaging (BMA) approaches to the Cox proportional hazards models. Potential predictors of the mortality rate were based on a broad range of clinical data; functional and laboratory tests, including geriatric nutritional risk index (GNRI); lymphocyte count; vitamin D, and the age-weighted Charlson comorbidity index. The results of the multivariable analysis identified seven explanatory variables that are independently associated with the length of survival. The mortality rate was higher in males than in females; it increased with the comorbidity level and C-reactive proteins plasma level but was negatively affected by a person's mobility, GNRI and lymphocyte count, as well as the vitamin D plasma level.

Indexed as

MortalityNutritional StatusNutrition AssessmentAgedAged, 80 and overBayes TheoremFemaleGeriatric AssessmentHumansMaleMiddle AgedModels, BiologicalProportional Hazards ModelsRisk FactorsSocial FactorsBayesian model averagingCharlson Comorbidity IndexgeriatricsGNRIlymphocytessurvivalTUGvitamin D

Identifiers

PMID33801694
PMCPMC8066062

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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.