Evidence map›Paper›PMID 29352593›Full record

ArticleKidney international2018

Pre-admission proteinuria impacts risk of non-recovery after dialysis-requiring acute kidney injury.

Benjamin J Lee, Alan S Go, Rishi Parikh, Thomas K Leong, Thida C Tan, Sophia Walia, Raymond K Hsu, Kathleen D Liu, Chi-Yuan Hsu

Abstract read
In one paragraph

Article in Kidney international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Designing acute kidney injury clinical trials.Nature reviews. Nephrology · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Impact of AKI on Urinary Protein Excretion: Analysis of Two Prospective Cohorts.Journal of the American Society of Nephrology : JASN · 2019
    Article
  13. 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

9 authors.

Benjamin J LeeDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA. Electronic address: bjlee@ucsf.edu.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Rishi ParikhDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Thomas K LeongDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Thida C TanDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Sophia WaliaDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Raymond K HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Kathleen D LiuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA; Division of Critical Care, Department of Anesthesia, University of California, San Francisco, San Francisco, California, USA.
Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Funding

Academic Training Program in NephrologyT32DK007219 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 1986 to 2022
$7.3M
Identifying opportunities to lower rates of AKI and improve outcomesR01DK101507 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GO, ALAN S, HSU, CHI-YUAN · 2014 to 2017
$2.1M
Patient Oriented Research in Kidney DiseaseK24DK092291 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2011 to 2020
$1.2M
Advancing acute kidney injury phenotyping using biological and clinical criteriaK24DK113381 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, KATHLEEN D · 2017 to 2021
$915k
Enhancing appreciation of the clinical significance of acute kidney injuryK23DK100468 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, RAYMOND · 2013 to 2017
$892k
Recovery after dialysis-requiring acute kidney injuryF32DK115030 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, BENJAMIN JIAWEI · 2017 to 2017
$79k
NIDDK NIH HHS F32 DK115030NIDDK NIH HHS K23 DK100468NIDDK NIH HHS K24 DK092291NIDDK NIH HHS K24 DK113381NIDDK NIH HHS R01 DK101507NIDDK NIH HHS T32 DK007219
6 · The paper itself

Abstract

Renal recovery after dialysis-requiring acute kidney injury (AKI-D) is an important clinical and patient-centered outcome. Here we examined whether the pre-admission proteinuria level independently influences risk for non-recovery after AKI-D in a community-based population. All adult members of Kaiser Permanente Northern California who experienced AKI-D between January 1, 2009 and September 30, 2015 were included. Pre-admission proteinuria levels were determined by dipstick up to four years before the AKI-D hospitalization and the outcome was renal recovery (survival and dialysis-independence four weeks and more) at 90 days after initiation of renal replacement therapy. We used multivariable logistic regression to adjust for baseline estimated glomerular filtration rate (eGFR), age, sex, ethnicity, short-term predicted risk of death, comorbidities, and medication use. Among 5,347 adults with AKI-D, the mean age was 66 years, 59% were men, and 50% were white. Compared with negative/trace proteinuria, the adjusted odds ratios for non-recovery (continued dialysis-dependence or death) were 1.47 (95% confidence interval 1.19-1.82) for 1+ proteinuria and 1.92 (1.54-2.38) for 2+ or more proteinuria. Among survivors, the crude probability of recovery ranged from 83% for negative/trace proteinuria with baseline eGFR over 60 mL/min/1.73m

Indexed as

Glomerular Filtration RatePatient AdmissionAcute Kidney InjuryAgedAged, 80 and overCaliforniaFemaleHumansKidneyMaleMiddle AgedProteinuriaRecovery of FunctionRenal DialysisRetrospective StudiesRisk Assessmentdialysis-requiring acute kidney injuryproteinuriarenal recoveryrisk factor

Identifiers

PMID29352593
PMCPMC5866747

What OpenQuestion holds

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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.