Evidence map›Paper›PMID 39669631›Full record

ArticleGenetics in medicine open2024

Genetic kidney disease has a higher likelihood and cost of inpatient admissions compared to other aetiologies.

P Marcin Sowa, Andrew J Mallett, Luke B Connelly

Abstract read
In one paragraph

Article in Genetics in medicine open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

P Marcin SowaCentre for the Business and Economics of Health, The University of Queensland, St Lucia, Queensland, Australia.
Andrew J MallettNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.
Luke B ConnellyCentre for the Business and Economics of Health, The University of Queensland, St Lucia, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: There is increasing recognition of monogenic aetiologies for kidney disease. We sought to identify whether genetic kidney disease (GKD) has distinct hospitalization patterns compared to other forms of chronic kidney disease (CKD). Methods: Health service utilization analysis was undertaken in a CKD cohort study across public hospital services in Queensland, Australia. CKD due to clinically coded potential monogenic causes was compared to all other causes in terms of annual frequency, cost, and type of hospital admission. Results: We analyzed 7 years of hospital admissions data (809,188 admissions) among 29,046 patients. Compared to non-genetic CKD, GKD was associated with a higher likelihood and cost of admissions. GKD had consistently more admissions (mean excess annual number of admissions increasing from 5.2 in year 1 to 13.4 in year 7) and more costly admissions (mean excess annual cost increasing from $5,265 in year 1 to $12,993 in year 7). This gap in hospitalization likelihood and cost increased over time for both surgical and medical admission episodes, but not for all (immunological, cancer) causes of admissions. Conclusion: Understanding the nature and extent of differences in healthcare needs between GKD and other CKD will enable better secondary prevention and inform resource allocation decisions to reduce healthcare system pressures attributable to knowable causes.

Indexed as

Chronic kidney diseaseGenetic kidney diseaseHealth economicsHealth service utilization

Identifiers

PMID39669631
PMCPMC11613861

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Registered trials

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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.