Evidence map›Paper›PMID 34961482›Full record

Observational studyBMC cardiovascular disorders2021

Platelet-to-hemoglobin ratio as a valuable predictor of long-term all-cause mortality in coronary artery disease patients with congestive heart failure.

Kunming Bao, Haozhang Huang, Guoyong Huang, Junjie Wang, Ying Liao, Yuxiong Pan, Weihua Chen, Jin Lu, Yanfang Yang, Zhidong Huang and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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.

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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

13 authors.

Kunming Bao *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Haozhang Huang *The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Guoyong Huang *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Junjie WangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Ying LiaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yuxiong PanDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Weihua ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Jin LuDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yanfang YangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Zhidong HuangDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Shiqun ChenDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. shiqunchen@126.com.
Kaihong ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. chenkaihong1964@163.com.
Liling ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. chenliling19790206@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe platelet-to-hemoglobin ratio (PHR) has emerged as a prognostic biomarker in coronary artery disease (CAD) patients after PCI but not clear in CAD complicated with congestive heart failure (CHF). Hence, we aimed to assess the association between PHR and long-term all-cause mortality among CAD patients with CHF.

methodsBased on the registry at Guangdong Provincial People's Hospital in China, we analyzed data of 2599 hospitalized patients who underwent coronary angiography (CAG) and were diagnosed with CAD complicated by CHF from January 2007 to December 2018. Low PHR was defined as ˂ 1.69 (group 1) and high PHR as ≥ 1.69 (group 2). Prognosis analysis was performed using Kaplan-Meier method. To assess the association between PHR and long-term all-cause mortality, a Cox-regression model was fitted.

resultsDuring a median follow-up of 5.2 (3.1-7.8) years, a total of 985 (37.9%) patients died. On the Kaplan-Meier analysis, patients in high PHR group had a worse prognosis than those in low PHR group (log-rank, p = 0.0011). After adjustment for confounders, high PHR was correlated with an increased risk of long-term all-cause mortality in CAD patients complicated with CHF. (adjusted hazard ratio [aHR], 1.31; 95% confidence interval [CI], 1.13-1.52, p < 0.0001).

conclusionElevated PHR is correlated with an increased risk of long-term all-cause mortality in CAD patients with CHF. These results indicate that PHR may be a useful prognostic biomarker for this population. Meanwhile, it is necessary to take effective preventive measures to regulate both hemoglobin levels and platelet counts in this population.

Indexed as

Blood PlateletsAgedBiomarkersCause of DeathCoronary AngiographyCoronary Artery DiseaseFemaleHeart FailureHemoglobinsHumansMaleMiddle AgedPlatelet CountPredictive Value of TestsPrognosisRegistriesBiomarkersHemoglobinsCongestive heart failureCoronary artery diseaseMortalityPlatelet-to-hemoglobin ratio

Identifiers

PMID34961482
PMCPMC8714416

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Registered trials

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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.