Evidence map›Paper›PMID 32297881›Full record

ArticleClinical kidney journal2020

The association of socioeconomic status with incidence and outcomes of acute kidney injury.

Hilda O Hounkpatin, Simon D S Fraser, Matthew J Johnson, Scott Harris, Mark Uniacke, Paul J Roderick

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical kidney journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Review
  14. Article
  15. Article
  16. Article
  17. Social Determinants of Health in Acute Kidney Injury: Looking Beyond the Hospital Room.Clinical journal of the American Society of Nephrology : CJASN · 2024
    Article
  18. Article
  19. Article
  20. 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 at 4 institutions in 1 country.

Hilda O HounkpatinNational Institute for Health Research Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC) Wessex, School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Simon D S FraserSchool of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-4172-4406
Matthew J JohnsonMedical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Scott HarrisSchool of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Mark UniackeQueen Alexandra Hospital, Portsmouth, UK.
Paul J RoderickSchool of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
University of Southampton · GBMRC Lifecourse Epidemiology Unit · GBNational Institute for Health Research · GBQueen Alexandra Hospital · GB

Funding

Medical Research Council MC_UP_A620_1016Medical Research Council MC_UU_12011/3
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is common and is associated with significant morbidity and mortality. Socioeconomic status may be negatively associated with AKI as some risk factors for AKI such as chronic kidney disease, diabetes and heart failure are socially distributed. This study explored the socioeconomic gradient of the incidence and mortality of AKI, after adjusting for important mediators such as comorbidities.

methodsLinked primary care and laboratory data from two large acute hospitals in the south of England, sourced from the Care and Health Information Analytics database, were used to identify AKI cases over a 1-year period (2017-18) from a population of 580 940 adults. AKI was diagnosed from serum creatinine patterns using a Kidney Disease: Improving Global Outcomes-based definition. Multivariable logistic regression and Cox proportional hazard models adjusting for age, sex, comorbidities and prescribed medication (in incidence analyses) and AKI severity (in mortality analyses), were used to assess the association of area deprivation (using Index of Multiple Deprivation for place of residence) with AKI risk and all-cause mortality over a median (interquartile range) of 234 days (119-356).

resultsAnnual incidence rate of first AKI was 1726/100 000 (1.7%). The risk of AKI was higher in the most deprived compared with the least deprived areas [adjusted odds ratio = 1.79, 95% confidence interval (CI) 1.59-2.01 and 1.33, 95% CI 1.03-1.72 for <65 and >65 year old, respectively] after controlling for age, sex, comorbidities and prescribed medication. Adjusted risk of mortality post first AKI was higher in the most deprived areas (adjusted hazard ratio = 1.20, 95% CI 1.07-1.36).

conclusionsSocial deprivation was associated with higher incidence of AKI and poorer survival even after adjusting for the higher presence of comorbidities. Such social inequity should be considered when devising strategies to prevent AKI and improve care for AKI patients.

Indexed as

ageAKIcreatinineepidemiologysurvival analysis

Identifiers

PMID32297881
PMCPMC7147309
OpenAlexW2970295779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.