Evidence map›Paper›PMID 37783714›Full record

ArticleScientific reports2023

Examinations of effects of socio-demographic features and disease-related data of patients with hemodialysis on the quality of life.

Elif Togay, Hatice Öntürk Akyüz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Elif TogayDepartment of Dialysis, Bitlis Tatvan State Hospital, Bitlis, Turkey.
Hatice Öntürk AkyüzNursing Department, Faculty of Health Sciences, Bitlis Eren University, Rahva Campus, Beş Minare District, Ahmet Eren Boulevard, 13100, Center/Bitlis, Turkey. onturk65@hotmail.com.
Bitlis Eren University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to detect the effects of demographic features and disease-related data of individuals with hemodialysis treatment on quality of life. The research universe consisted of 113 patients who received dialysis treatment in three state hospitals. Sampling was not used in this research with 97 volunteer patients who complied with the study criteria. The data collection process was performed face-to-face between 1 May and 30 June 2020. Data was collected using the Participant Information Form and the Quality of Life Scale (Short From-36). In our research, 50.5% of participants were male and 49.5% were female. The age of 61.9% of participants was ≥ 51 years and 78.4% were married. Most participants (67%) had ≥ 3 children, 35.1% received dialysis treatment for 3-10 years, 90.7% had dialysis three times a week, and 64.9% had an arterio-venous fistula vascular access line. In addition, 24% had another family member who received dialysis treatment, with hypertension as the etiology in 35.6% of chronic renal failure (CRF). The findings showed that 93.8% patients had no previous transplantation, and 62.9% considered future transplantation.Within the scope of this research, the findings suggest that the quality of life of dialysis patients was poor. Demographic features and disease data affected the quality of life at different levels.

Indexed as

Kidney Failure, ChronicKidney TransplantationRenal Insufficiency, ChronicChildFemaleHumansMaleMiddle AgedQuality of LifeRenal Dialysis

Identifiers

PMID37783714
PMCPMC10545823
OpenAlexW4387257068

What OpenQuestion holds

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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.