Evidence map›Paper›PMID 41930127›Full record

ArticleFrontiers in medicine2026

Determinants of poor sleep quality in hemodialysis patients: a multicenter cross sectional study in Sri Lanka.

Dishani Weerakoon, Ranga Perera, Ruvini Ambillapitiya, Sanara Waidyasuriya, Medhake Herath, Ranga Tudugala, Ravi Bodhipaksha, Chintha Gunaratne, Nadeeka Perera, Nalaka Herath and 3 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Dishani WeerakoonFaculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Werahera, Sri Lanka.
Ranga PereraFaculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Werahera, Sri Lanka.
Ruvini AmbillapitiyaFaculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Werahera, Sri Lanka.
Sanara WaidyasuriyaFaculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Werahera, Sri Lanka.
Medhake HerathFaculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Werahera, Sri Lanka.
Ranga TudugalaRoyal Sussex Country Hospital, Brighton, United Kingdom.
Ravi BodhipakshaMedical Laboratory, National Nephrology Specialized Hospital, Polonnaruwa, Sri Lanka.
Chintha GunaratneNational Renal Disease Prevention and Research Unit, Ministry of Health, Colombo, Sri Lanka.
Nadeeka PereraNational Renal Disease Prevention and Research Unit, Ministry of Health, Colombo, Sri Lanka.
Nalaka HerathNephrology Unit, Colombo North Teaching Hospital, Ragama, Sri Lanka.
Damayanthi DassanayakeFaculty of Allied Health Sciences, University of Peradeniya, Peradeniya, Sri Lanka.
Steven AlbertDepartment of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.
Kithsiri JayasekaraFaculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Werahera, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep quality is a common and often overlooked clinical issue among hemodialysis patients, which can affect physical and psychological quality of Life. This study intended to evaluate sleep quality and its determinants among patients receiving hemodialysis. Methods: A cross-sectional study was conducted at three hemodialysis centers in Anuradhapura and Polonnaruwa districts of Sri Lanka, including a random sample of 310 maintenance hemodialysis patients. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality of the patients. Socio-demographic information, dialysis and medical data, dietary and lifestyle information were also recorded. Several laboratory investigations were conducted before and after dialysis. Dialysis adequacy was calculated using single pool Kt/V. Multiple linear regression was performed to identify significant predictors of poor sleep quality. Results: A significant majority (83.3%) of the population exhibited poor sleep quality. According to the PSQI, poor sleep latency and low sleep duration were key contributing factors. A significant association was observed between the sleep quality of patients and the number of dialysis sessions per week ( Conclusion: The study revealed a striking prevalence of poor sleep quality in the population. According to the multiple linear regression model, dialysis center, dialysis access, number of dialysis side effects and complications, appetite and post dialysis serum urea level were identified as significant predictors of poor sleep quality in the population. Subsequent research should develop appropriate interventions to address inadequate sleep quality among hemodialysis patients.

Indexed as

dialysis recovery timedialysis vascular accesshemodialysisPittsburgh Sleep Quality Indexsleep quality

Identifiers

PMID41930127
PMCPMC13038543

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.