Evidence map›Paper›PMID 29854976›Full record

ArticleKidney international reports2018

Use of the Renal Angina Index in Determining Acute Kidney Injury.

Ryo Matsuura, Nattachai Srisawat, Rolando Claure-Del Granado, Kent Doi, Teruhiko Yoshida, Masaomi Nangaku, Eisei Noiri

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Observational
  5. Observational
  6. Article
  7. Review
  8. Review
  9. Observational
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Assessment of a modified renal angina index for AKI prediction in critically ill adults.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    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

7 authors at 3 institutions in 3 countries.

Ryo MatsuuraDepartment of Nephrology and Endocrinology, The University of Tokyo Hospital, Japan.
Nattachai SrisawatDivision of Nephrology, Department of Medicine, Chulalongkorn University, Thailand.
Rolando Claure-Del GranadoUniversidad Mayor de San Simon School of Medicine, Cochabamba, Bolivia.
Kent DoiDepartment of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Japan.
Teruhiko YoshidaDepartment of Nephrology and Endocrinology, The University of Tokyo Hospital, Japan.
Masaomi NangakuDepartment of Nephrology and Endocrinology, The University of Tokyo Hospital, Japan.
Eisei NoiriDepartment of Nephrology and Endocrinology, The University of Tokyo Hospital, Japan.
University of Tokyo Hospital · JPChulalongkorn University · THUniversity of San Simón · BO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe renal angina index (RAI) is determined based on changes in the creatinine and condition scores of patients. The aim of this study is to evaluate the efficacy of the RAI in predicting persistent acute kidney injury (AKI) in Asian intensive care unit (ICU) patients.

methodsThis is a subanalysis of 3 prospective studies conducted in Japan and Thailand. The RAI was calculated for all enrolled patients using the method of Goldstein and colleagues, with a minor modification for adults on day 2. To determine the accuracy of RAI further, we evaluated a subgroup of patients for whom baseline serum creatinine values were available at ICU admission (i.e., those with hospital-acquired AKI). AKI biomarkers were evaluated for their efficacy in improving the performance of RAI. The outcome was defined as AKI stage 2 or 3 over 48 hours.

resultsOf the 263 patients analyzed, a total of 22 progressed to stage 2 or 3 AKI over 48 hours. The RAI was associated with an area under the curve (AUC) of 0.63 in receiver-operating characteristics analysis, with a cutoff of 10. In those admitted from general wards, the RAI had good performance, with an AUC of 0.73 and a cutoff of 6. A combination of L-type fatty acid-binding protein with the RAI improved the predictive performance for assessing persistent AKI with an AUC of 0.79.

conclusionThe RAI may be effective in predicting persistent AKI in adult patients admitted from general wards. Incorporation of AKI biomarkers into the RAI may potentially improve prediction.

Indexed as

acute kidney injuryAKI biomarkerspredictionrenal angina

Identifiers

PMID29854976
PMCPMC5976819
OpenAlexW2793865088

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.