ArticleHealth science reports2026
Geographical Distribution of Patients With Chronic Kidney Disease Receiving Hemodialysis Care in Northwest Iran: A Retrospective Cross-Sectional Study.
Article in Health science reports, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Managing chronic kidney disease (CKD) care, particularly for patients requiring hemodialysis, presents significant challenges due to the uneven geographical distribution of cases, which complicates equitable resource allocation. Geographic Information Systems (GIS) can help identify spatial patterns and clusters, thereby supporting more efficient healthcare planning. This study aimed to investigate the spatial distribution of CKD cases requiring hemodialysis in West Azerbaijan Province, Iran. Methods: This retrospective cross-sectional descriptive study analyzed hemodialysis patient data collected during January-December 2021. Data from 1709 patients undergoing maintenance hemodialysis were obtained from all 19 governmental and 2 private hemodialysis centers operating at the provincial level. As all registered dialysis centers were included, the data set was considered representative of the provincial hemodialysis population. Records with incomplete key variables were excluded from analysis. Spatial prevalence patterns were assessed using spatial autocorrelation techniques, including the global Moran's Results: The prevalence of hemodialysis in West Azerbaijan Province was 52.33 per 100,000 population. The global Moran's Conclusion: The findings highlight spatial inequalities in hemodialysis distribution and underscore the importance of geographically targeted resource allocation and public health strategies to improve CKD care delivery in the region.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.