Evidence map›Paper›PMID 35365164›Full record

ArticleJournal of cardiothoracic surgery2022

The association between lymphocyte-monocyte ratio and postoperative acute kidney injury in patients with acute type A aortic dissection.

Wenxiu Chen, Xiaochun Song, Liang Hong, Huan Xu, Yan Qian, Wenhao Zhang, Jiakui Sun, Xiao Shen, Ying Liu, Xiang Wang and 4 more

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

14 authors.

Wenxiu ChenDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Xiaochun SongDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Liang HongDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Huan XuDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Yan QianDepartment of Intensive Care Unit, Wuhu Hospital Affiliated to East China Normal University, Wuhu, 241000, Anhui, People's Republic of China.
Wenhao ZhangDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Jiakui SunDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Xiao ShenDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Ying LiuDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Xiang WangDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Qiankun ShiDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Han LiuDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Xinwei Mu *Department of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China. 18951670877@163.com.
Cui Zhang *Department of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China. zhangcuiacc@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the relationship between baseline lymphocyte-monocyte ratio (LMR) and postoperative acute kidney injury (AKI) in patients with acute type A aortic dissection (ATAAD).

methodsATAAD patients undergoing surgery in Nanjing First Hospital were enrolled from January 2019 to April 2021. Lymphocyte and monocyte were measured on admission. Multivariable logistic regression analyses were performed to explore the relationship between LMR and postoperative AKI. We also used receiver operating characteristic (ROC), net reclassification index (NRI) and integrated discrimination improvement (IDI) analyses to assess the predictive ability of LMR.

resultsAmong the 159 recruited patients, 47 (29.6%) were diagnosed with AKI. Univariate logistic regression analysis indicated that ATAAD patients with higher levels of LMR were prone to have lower risk to develop AKI (odds ratio [OR], 0.493; 95% confidence interval [CI] 0.284-0.650, P = 0.001). After adjustment for the potential confounders, LMR remained an independent related factor with postoperative AKI (OR 0.527; 95% CI 0.327-0.815, P = 0.006). The cutoff value for LMR to predict AKI was determined to be 2.67 in the ROC curve analysis (area under curve: 0.719). NRI and IDI further confirmed the predictive capability of LMR in postoperative AKI.

conclusionElevated baseline LMR levels were independently associated with lower risk of postoperative AKI in ATAAD patients.

Indexed as

Acute Kidney InjuryAortic DissectionHumansLymphocytesMonocytesPrognosisRetrospective StudiesAcute kidney injuryAcute type A aortic dissectionIntegrated discrimination improvementLymphocyte-monocyte ratioNet reclassification index

Identifiers

PMID35365164
PMCPMC8974121

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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.