Evidence map›Paper›PMID 34093042›Full record

ArticleClinical epidemiology2021

Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients.

Xin Chen, Jiarui Xu, Yang Li, Xialian Xu, Bo Shen, Zhouping Zou, Xiaoqiang Ding, Jie Teng, Wuhua Jiang

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Effects of fermentedOpen veterinary journal · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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 at 4 institutions in 1 country.

Xin Chen *Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Jiarui Xu *Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Yang LiDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Xialian XuDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Bo ShenDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Zhouping ZouDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Jie TengDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Wuhua JiangDepartment of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People's Republic of China.
Zhongshan Hospital · CNFudan University · CNShanghai Institute of Hematology · CNZhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionElectrolyte disorders are common among hospitalized patients with acute kidney injury (AKI) and adversely affect the outcome. This study aimed to explore the potential role of abnormal electrolyte levels on predicting AKI and severe AKI.

methodsIn this retrospective, observational study, we included all hospitalized patients in our hospital in China from October 01, 2014, to September 30, 2015. Since only a few patients had arterial blood gas analysis (ABG), all subjects involved were divided into two groups: patients with ABG and patients without ABG. Severe AKI was defined as AKI stage 2 or 3 according to KDIGO guideline.

resultsA total of 80,091 patients were enrolled retrospectively and distributed randomly into the test cohort and the validation cohort (2:1). Logistic regression was performed in the test cohort to analyze risk factors including electrolyte disorders and elucidate the association. The test data (derivation cohort) led to AUC values of 0.758 (95% CI: 0.743-0.773; AKI with ABG), 0.751 (95% CI: 0.740-0.763; AKI without ABG), 0.733 (95% CI: 0.700-0.767; severe AKI with ABG), 0.853 (95% CI: 0.824-0.882; severe AKI without ABG). Application of the scoring system in the validation cohort led to AUC values of 0.724 (95% CI: 0.703-0.744; AKI with ABG), 0.738 (95% CI: 0.721-0.755; AKI without ABG), 0.774 (95% CI: 0.732-0.815; severe AKI with ABG), 0.794 (95% CI: 0.760-0.827; severe AKI without ABG). Hosmer-Lemeshow tests revealed a good calibration.

conclusionThe risk scoring systems involving electrolyte disorders were established and validated adequately efficient to predict AKI and severe AKI in hospitalized patients. Electrolyte imbalance needs to be carefully monitored and corrections should be made on time to avoid further adverse outcome.

Indexed as

acute kidney injuryelectrolyte disordersrisk score

Identifiers

PMID34093042
PMCPMC8168833
OpenAlexW3164400754

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.