Evidence map›Paper›PMID 37940847›Full record

ArticleBMC cardiovascular disorders2023

The association between serum anion gap and acute kidney injury after coronary artery bypass grafting in patients with acute coronary syndrome.

Qinyuan Pan, Zhifang Mu, Yong Li, Caihong Gu, Tao Liu, Bing Wang, Xiuwen Kang

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2023. 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
1.4field-weighted citation impact, top 19% 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, 7 citations in OpenAlex.

  1. Predictive Value of Anion Gap for Acute Kidney Injury Progression and Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Trial
  2. Article
  3. Article
  4. 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

7 authors at 2 institutions in 1 country.

Qinyuan Pan *Department of Critical Care Medicine, The First People's Hospital of Lianyungang, Zhenhua East Road, Lianyungang, 222002, Jiangsu, China.
Zhifang Mu *Department of Critical Care Medicine, The First People's Hospital of Lianyungang, Zhenhua East Road, Lianyungang, 222002, Jiangsu, China.
Yong LiDepartment of Critical Care Medicine, The First People's Hospital of Lianyungang, Zhenhua East Road, Lianyungang, 222002, Jiangsu, China.
Caihong GuDepartment of Critical Care Medicine, The First People's Hospital of Lianyungang, Zhenhua East Road, Lianyungang, 222002, Jiangsu, China.
Tao LiuDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Bing WangDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Xiuwen KangDepartment of Critical Care Medicine, The First People's Hospital of Lianyungang, Zhenhua East Road, Lianyungang, 222002, Jiangsu, China. mafei8922@163.com.
The First People’s Hospital of Lianyungang · CNShanghai Sixth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to explore the association between serum anion gap (SAG) and acute kidney injury (AKI) after coronary artery bypass grafting (CABG) in patients with acute coronary syndrome (ACS) in the Intensive Care Unit (ICU).

methodsWe retrospectively analyzed the clinical data of 2,428 ACS patients who underwent CABG in the Medical Information Mart for Intensive Care IV (Mimic-IV) database. The endpoint of this study was AKI after CABG. The baseline data of the two groups (non-AKI group vs. AKI group) was compared, and the restricted cubic spline (RCS) plot, multivariable logistic regression model, and subgroup analysis were used to explore the relationship between SAG and the risk of AKI after CABG.

resultsIn the adjusted multivariate logistic regression model, SAG was an independent predictor of AKI after CABG (OR = 1.12, 95% CI: 1.02-1.23, P = 0.015). The RCS revealed that the relationship between SAG levels and risk of AKI was J-shaped. When the SAG was ≥ 11.58 mmol/L, the risk of AKI increased by 26% for each unit increase in SAG. Additionally, we further divided the SAG into quartiles. In the fully adjusted model, compared with the first quartile of SAG, the odds ratios (ORs) and 95% confidence intervals (CIs) for AKI risk across the SAG quartiles were 0.729 (0.311, 1.600), 1.308 (0.688-2.478), and 2.221 (1.072, 4.576).

conclusionsThe SAG level was associated with the risk of AKI after CABG in a J-shaped curve in the ICU. However, the underlying causes of the problem need to be investigated.

Indexed as

Acute Coronary SyndromeAcute Kidney InjuryAcid-Base EquilibriumCoronary Artery BypassHumansPostoperative ComplicationsRetrospective StudiesRisk FactorsAcute coronary syndromeAcute kidney injuryCoronary artery bypass graftingIntensive care unitSerum anion gap

Identifiers

PMID37940847
PMCPMC10634147
OpenAlexW4388500424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.