Evidence map›Paper›PMID 38706503›Full record

ArticleJournal of multidisciplinary healthcare2024

The Relationship Between Fracture and Mortality in a Chinese Maintenance Hemodialysis Patients Cohort.

Xi Liu, Zhonghan Liu, Yangyang Niu, Kun Zhang, Xiaoqin Zhang, Chen Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. 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

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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

6 authors.

Xi Liu *Department of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Zhonghan Liu *Department of Spinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Yangyang Niu *Department of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Kun ZhangDepartment of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Xiaoqin ZhangDepartment of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Chen YuDepartment of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients on maintenance hemodialysis have an increased risk of fracture. However, the relationship between fracture and poor prognosis is not clear. Methods: A total of 182 maintenance hemodialysis patients were enrolled in the study. The relationship between fracture and poor prognosis (cardiovascular events, stroke, malignancy and 5-year all-cause mortality) were analyzed. Results: 21 of 182 patients had a history of fracture at the time of enrollment. 26 patients had a new fracture after enrollment. A total of 57 fractures occurred in 47 patients, the most common fracture site was the rib. Patients with fracture group had a higher proportion of elderly and female, higher serum phosphorus and B-type natriuretic peptide and lower hemoglobin, albumin, and potassium compared with those without fracture. Age ( Conclusion: 25.8% of maintenance hemodialysis patients had at least one fracture, with rib fractures accounting for the highest proportion. Age, hemoglobin and serum phosphorus were the independent risk factors of new fractures. The incidence of malignancy and 5-year all-cause mortality in patients with fracture was higher than those without fracture, but there was no significant difference in the incidence of acute myocardial infarction and stroke.

Indexed as

anemiafracturehemodialysishyperphosphatemiamortality

Identifiers

PMID38706503
PMCPMC11070156

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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.