Evidence map›Paper›PMID 30944505›Full record

ArticleHippokratia

The role of demographic characteristics and comorbidities in hemodialysis patients' health-related quality of life.

I Moisoglou, E Margariti, K Kollia, J Droulias, L Savva

Abstract read
In one paragraph

Article in Hippokratia. 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

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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

5 authors.

I MoisoglouQuality Assurance and Continuing Education Unit, General Hospital of Lamia, Greece.
E Margariti1 Propaedeutic Internal Medicine Department, AHEPA General Hospital, Aristotle University of Thessaloniki, Greece.
K KolliaDialysis Unit, General Hospital of Amfissa, Greece.
J DrouliasAttiko Hemodialysis Center, Athens, Greece.
L SavvaIonio Hemodialysis Center, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assessment of health-related quality of life (HRQL) is a valid tool, which can measure the degree that a chronic condition and its treatment, can affect patients' quality of life (QOL).

methodsA cross-sectional study was implemented at three hemodialysis units. One hundred fifteen patients were included in the study and 107 participated (response rate 93 %). The General Health Questionnaire (GHQ-28) and the Missoula-VITAS Quality of Life Index (MVQOLI-25) were utilized for the data collection.

resultsMultivariate logistic regression analysis found that increased number of coexisting diseases was associated with increased total score ≥24 on GHQ-28 [odds ratio: 1.35, 95 % confidence intervals (CI): 1.03-1.77, p =0.03]. Multivariate linear regression analysis revealed that increased age was associated with an increased score on somatic symptoms subscale (coefficient beta: 1.01, 95 % CI: 1.00-1.03, p =0.007). Increased number of coexisting diseases was associated with an increased score on anxiety/insomnia subscale (coefficient beta: 1.17, 95 % CI: 1.06-1.29, p =0.003). Moreover, increased educational level was associated with decreased score on social dysfunction subscale (coefficient beta: -0.89, 95 % CI: -1.62 to -0.096, p =0.028) and decreased score on severe depression subscale (coefficient beta: -1.14, 95 % CI: -2.03 to -0.26, p =0.012). Patients with fistula/graft had a higher score on MVQOLI-25 than patients with a central venous catheter (coefficient beta: 2.31, 95 % CI: 0.43-4.19, p =0.017).

conclusionsComorbidities, educational level and vascular access were the most important findings regarding to their impact on patients' HRQL. HIPPOKRATIA 2017, 21(4): 163-168.

Indexed as

Comorbiditydemographichealthhemodialysisquality of life

Identifiers

PMID30944505
PMCPMC6441349

What OpenQuestion holds

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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.