Evidence map›Paper›PMID 31843236›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2020

US Trends in Hospitalizations for Dialysis-Requiring Acute Kidney Injury in People With Versus Without Diabetes.

Jessica Lee Harding, Yanfeng Li, Nilka Ríos Burrows, Kai McKeever Bullard, Meda E Pavkov

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Acute kidney injury in diabetes mellitus: Epidemiology, diagnostic, and therapeutic concepts.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

5 authors at 1 institution in 1 country.

Jessica Lee HardingDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA. Electronic address: jessica.lee.harding@emory.edu.
Yanfeng LiDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Nilka Ríos BurrowsDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Kai McKeever BullardDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Meda E PavkovDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

RATIONALE &

objectiveDialysis-requiring acute kidney injury (AKI-D) has increased substantially in the United States. We examined trends in and comorbid conditions associated with hospitalizations and in-hospital mortality in the setting of AKI-D among people with versus without diabetes. STUDY

designCross-sectional study. SETTING &

participantsNationally representative data from the National Inpatient Sample and National Health Interview Survey were used to generate 16 cross-sectional samples of US adults (aged ≥18 years) between 2000 and 2015. EXPOSURE: Diabetes, defined using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes. OUTCOME: AKI-D, defined using ICD-9-CM diagnosis and procedure codes. ANALYTICAL APPROACH: Annual age-standardized rates of AKI-D and AKI-D mortality were calculated for adults with and without diabetes, by age and sex. Data were weighted to be representative of the US noninstitutionalized population. Trends were assessed using join point regression with annual percent change (Δ/y) reported.

resultsIn adults with diabetes, AKI-D increased between 2000 and 2015 (from 26.4 to 41.1 per 100,000 persons; Δ/y, 3.3%; P < 0.001), with relative increases greater in younger versus older adults. In adults without diabetes, AKI-D increased between 2000 and 2009 (from 4.8 to 8.7; Δ/y, 6.5%; P < 0.001) and then plateaued. AKI-D mortality significantly declined in people with and without diabetes. In adults with and without diabetes, the proportion of AKI-D hospitalizations with liver, rheumatic, and kidney disease comorbid conditions increased between 2000 and 2015, while the proportion of most cardiovascular comorbid conditions decreased. LIMITATIONS: Lack of laboratory data to corroborate AKI diagnosis; National Inpatient Sample data are hospital-level rather than person-level data; no data for type of diabetes; residual unmeasured confounding.

conclusionsHospitalization rates for AKI-D have increased considerably while mortality has decreased in adults with and without diabetes. Hospitalization rates for AKI-D remain substantially higher in adults with diabetes. Greater AKI risk-factor mitigation is needed, especially in young adults with diabetes.

Indexed as

Acute Kidney InjuryAge FactorsComorbidityCross-Sectional StudiesDiabetes MellitusFemaleHospitalizationHospital MortalityHumansIncidenceMaleMiddle AgedOutcome Assessment, Health CareRenal DialysisRisk FactorsSex FactorsAcute kidney injury (AKI)ageAKI risk factorAKI stage 3comorbiditydiabetes mellitus (DM)diabetes-related complicationsdialysis-requiring AKI (AKI-D)epidemiologyhospitalizationin-hospital mortalitymortalityrenal failuresecular trend

Identifiers

PMID31843236
PMCPMC11000252
OpenAlexW2994622851

What OpenQuestion holds

Textmetadata
LicenceTDM
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.