Evidence map›Paper›PMID 38739575›Full record

ArticlePloS one2024

Measuring the perceived wellbeing of hemodialysis patients: A Mind Genomics cartography.

Ermira Jahja, Petraq Papajorgji, Howard Moskowitz, Ioanna Margioukla, Fjona Nasto, Arjeta Dedej, Paola Pina, Mikel Shella, Manjola Collaku, Erjona Kaziu and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ermira JahjaFaculty of Dental Medicine, Department of Basic Sciences, Western Balkans University, Tirana, Albania.ORCID 0000-0003-2941-5173
Petraq PapajorgjiProinfinit Consulting, Tirana, Albania.
Howard MoskowitzWorld Institute of Competitive Excellence, New York, New York, United States of America.
Ioanna MargiouklaDepartment of Psychology, American Hospital, Tirana, Albania.
Fjona NastoDepartment of Nephrology, American Hospital, Tirana, Albania.
Arjeta DedejDepartment of Nephrology, American Hospital, Tirana, Albania.
Paola PinaDiavita Dialysis Center, Elbasan, Albania.
Mikel ShellaDiavita Dialysis Center, Elbasan, Albania.
Manjola CollakuFaculty of Technical Medical Sciences, Department of Medicine, Western Balkans University, Tirana, Albania.
Erjona KaziuDepartment of Nephrology, American Hospital, Tirana, Albania.
Kristela GjoniDepartment of Nephrology, American Hospital, Tirana, Albania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Kidney Disease patients under hemodialysis have high morbidity rate, which tends to considerably affect their health-related quality of life. Multiple studies that have made use of different questionnaries report the poor life quality of this patient group. The research in hand implemented the Mind Genomics Approach as a method to asses the health-related quality of life of hemodialysis patients, while relying on conjoint measurements to group individuals with similar patterns of responses to a certain mindset. The study is conducted in 3 clinics with 219 patients. It uncovers three clusters or mindsets: Mindset 1- Feels guardedly optimistic but worried about money, Mindset 2-Feels strongly positive because the state guarantees and the family supports, Mindset 3-Feels positive only about money. Based on the analysis of the collected data, the findings of this study suggest that the quality of life in hemodialysis patients is highly correlated to their financial status. The current study is one of the few first attempts to apply Mind Genomics in medical settings and the first, to our knowledge, in hemodialysis centers. This technology might enable healthcare proffesionals to provide personalized psychological treatment and additional social support to patients, which in turn could improve their clinical outcomes. The study is an example of using technology as a service.

Indexed as

GenomicsQuality of LifeRenal DialysisAdultAgedFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicSurveys and Questionnaires

Identifiers

PMID38739575
PMCPMC11090323

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.