Evidence map›Paper›PMID 34659377›Full record

ArticleJournal of geriatric cardiology : JGC2021

Risk factors for acute kidney injury following coronary artery bypass graft surgery in a Chinese population and development of a prediction model.

Yang Li, Xue-Jian Hou, Tao-Shuai Liu, Shi-Jun Xu, Zhu-Hui Huang, Peng-Yun Yan, Xiao-Yu Xu, Ran Dong

Open access · greenAbstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

8 authors at 2 institutions in 1 country.

Yang LiDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xue-Jian HouDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Tao-Shuai LiuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Shi-Jun XuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhu-Hui HuangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Peng-Yun YanDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xiao-Yu XuDepartment of pharmacy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Ran DongDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Beijing Anzhen Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) after coronary artery bypass graft (CABG) surgery is associated with significant morbidity and mortality. This retrospective study aimed to establish a risk score for postoperative AKI in a Chinese population.

methodsA total of 1138 patients undergoing CABG were collected from September 2018 to May 2020 and divided into a derivation and validation cohort. AKI was defined according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. Multivariable logistic regression analysis was used to determine the independent predictors of AKI, and the predictive ability of the model was determined using a receiver operating characteristic (ROC) curve.

resultsThe incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) was 24.17%, and 0.53% of AKI patients required dialysis (AKI-D). Among the derivation cohort, multivariable logistic regression showed that age ≥ 70 years, body mass index (BMI) ≥ 25 kg/m

conclusionThe performance of the prediction model was valid and accurate in predicting KDIGO-AKI after CABG surgery in Chinese patients, and could improve the early prognosis and clinical interventions.

Indexed as

Acute kidney injurycoronary artery bypass graftKDIGO scorerisk factors

Identifiers

PMID34659377
PMCPMC8501387
OpenAlexW3202154839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.