Evidence mapPaperPMID 39660481Full record

ArticleCancer medicine2024

Prognosis Prediction of Cardiovascular Event With Glucose-Albumin Ratio on Patients With Cancer and Prescribed With Anthracycline.

Iokfai Cheang, Ying Li, Xu Zhu, Ziqi Chen, Qing-Wen Ren, Mei-Zhen Wu, Xin Xu, Hung-Fat Tse, Kai-Hang Yiu, Xinli Li

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Iokfai CheangState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.ORCID https://orcid.org/0000-0002-9950-9696
Ying LiState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
Xu ZhuState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
Ziqi ChenState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
Qing-Wen RenDivision of Cardiology, Department of Medicine, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China.
Mei-Zhen WuDivision of Cardiology, Department of Medicine, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China.
Xin XuDivision of Cardiology, Department of Medicine, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China.
Hung-Fat TseCardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China.
Kai-Hang YiuDivision of Cardiology, Department of Medicine, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China.
Xinli LiState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.ORCID https://orcid.org/0000-0002-6794-1468

Funding

HKU-SZH Fund for Shenzhen Key Medical Discipline SZXK2020081National Natural Science Foundation of China 81970339National Natural Science Foundation of China 82370389Sanming Project of Medicine in Shenzen Municipality SZSM201911020
6 · The paper itself

Abstract

aimsThis study aimed to investigate the clinical value of the glucose-albumin ratio (GAR) in predicting the prognosis of cancer patients prescribed anthracycline-based chemotherapy.

methodsWe included cancer patients who underwent anthracycline-based chemotherapy, drawn from the population-based cohort Clinical Data Analysis Reporting System of Hong Kong between January 2000 and December 2019. Demographics, medical history, baseline laboratory, and metabolic indicators, including GAR, were collected. We employed random survival forests (RSF) with the variable importance (VIMP) method to rank the importance of these variables. Cox proportional hazards regression was used to assess the association between GAR levels and event risks.

resultsA total of 18,700 patients were included in the analysis. The top 2 factors for predicting overall cardiovascular event risk were GAR and fasting blood glucose (FBG). Our results revealed that a higher GAR was significantly associated with poorer cardiovascular prognosis in patients with cancer prescribed with anthracycline-based chemotherapy. Compared to the lowest quartile, higher GAR levels were significantly associated with increased risk of all-cause mortality, major adverse cardiovascular events, hospitalization of heart failure, and cardiovascular mortality regardless of the adjustments (all p trend < 0.001).

conclusionGAR is a potential biomarker for predicting the prognosis of cancer patients undergoing anthracycline-based chemotherapy. Monitoring GAR levels before and during treatment may help identify patients at higher risk of adverse outcomes, facilitating personalized treatment strategies and improving clinical management.

Indexed as

AnthracyclinesBlood GlucoseCardiovascular DiseasesNeoplasmsAdultAgedBiomarkersFemaleHong KongHumansMaleMiddle AgedPrognosisSerum AlbuminAnthracyclinesBiomarkersBlood GlucoseSerum AlbuminanthracyclinebiomarkercancercardiotoxicitychemotherapyGARglucose‐albumin ratioprognosis

Identifiers

PMID39660481
PMCPMC11632394

What Socratic holds

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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 Socratic graph.