ArticleBMJ open2026
Analysis of the trajectory of sleep quality changes and influencing factors in maintenance haemodialysis patients in Xinjiang, China: a prospective longitudinal study.
Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo analyse the trajectory of sleep quality changes and identify influencing factors among patients undergoing maintenance haemodialysis (MHD).
designLongitudinal study design.
settingThe study was conducted in the nephrology departments of two tertiary hospitals in Urumqi, Xinjiang, China.
participantsThis study employed convenience sampling and completed follow-up assessments for 282 patients with MHD between December 2024 and August 2025. OUTCOME MEASURES: Data collection used a general information questionnaire, the Pittsburgh Sleep Quality Index and the Self-Rating Depression Scale. Sleep quality assessment timepoints included baseline (T1), 3 months (T2) and 6 months (T3). Latent class growth models were used to identify heterogeneous trajectories of sleep quality. Univariable and multivariable logistic regression analyses were used to determine independent predictors of sleep disorders trajectory categories.
resultsAmong 282 MHD patients, latent class growth modelling identified four distinct sleep trajectories: 'High-Slightly Increasing' (C1, 24.5%), 'Low-Slightly Increasing' (C2, 29.4%), 'High-Declining' (C3, 27.7%) and 'Moderate-Increasing' (C4, 18.4%). Multivariable analysis showed that, compared with C2, baseline depression significantly increased the odds of belonging to C1 (OR=8.53, p<0.001), C3 (OR=4.65, p<0.001) and C4 (OR=2.71, p=0.012). Similarly, pruritus (OR=2.46, p=0.019) and elevated C reactive protein (OR=1.03, p=0.015) were specific predictors for the C1 relative to C2.
conclusionsThis study reveals four heterogeneous sleep trajectories in MHD patients, underscoring a dynamic view of sleep quality. Depression is an overarching risk factor for unfavourable trajectories, while pruritus and inflammation specifically predict persistent poor sleep. Early screening and targeted interventions against these factors are crucial to improve sleep quality in MHD care.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.