Evidence map›Paper›PMID 35369313›Full record

ArticleFrontiers in cardiovascular medicine2022

ALB-dNLR Score Predicts Mortality in Coronary Artery Disease Patients After Percutaneous Coronary Intervention.

Wen-Juan Xiu, Hai-Tao Yang, Ying-Ying Zheng, Ting-Ting Wu, Xian-Geng Hou, Zhi-Hui Jiang, Yi Yang, Yi-Tong Ma, Xiang Xie

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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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

7 citing papers in PubMed.

  1. Article
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  4. Development and validation of a nomogram for predicting mortality in patients with acute severe traumatic brain injury: A retrospective analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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4 · The record

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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.

Wen-Juan XiuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Hai-Tao YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ting-Ting WuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xian-Geng HouDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Zhi-Hui JiangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yi YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The influence of the albumin/derived neutrophil and lymphocyte ratio (ALB-dNLR) on the outcomes of patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI) is not known. Here, we aimed to determine the association between the ALB-dNLR score and post-PCI CAD patient outcomes. Methods: A total of 6,050 patients from the First Affiliated Hospital of Xinjiang Medical University were enrolled between January 2008 and December 2016. These patients were divided into three groups according to their ALB-dNLR scores (0 points, Results: The ACM and CM rates differed among participants in the three groups ( Conclusion: The ALB-dNLR score is a credible predictor for mortality in patients with CAD who have undergone PCI.

Indexed as

albumin and the derived neutrophil to lymphocyte ratio score (ALB-dNLR score)all-cause mortalitycardiac mortalitycoronary artery diseasemajor adverse cardiovascular and cerebrovascular eventsmajor adverse cardiovascular eventsmortalitypercutaneous coronary intervention

Identifiers

PMID35369313
PMCPMC8965023

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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.