Evidence map›Paper›PMID 24926660›Full record

ArticlePloS one2014

Association of admission serum calcium levels and in-hospital mortality in patients with acute ST-elevated myocardial infarction: an eight-year, single-center study in China.

Xin Lu, Yunle Wang, Haoyu Meng, Pengsheng Chen, Yaqing Huang, Zemu Wang, Ningtian Zhou, Chunjian Li, Liansheng Wang, Enzhi Jia and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

27 citing papers in PubMed, 46 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Xin LuDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yunle WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Haoyu MengDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Pengsheng ChenDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yaqing HuangDepartment of Gastroenterology, the Drum Tower Hospital of Nanjing Medical University, Nanjing, China.
Zemu WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ningtian ZhouDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chunjian LiDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Liansheng WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Enzhi JiaDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhijian YangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China; Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNJiangsu Province Hospital · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe relationship between admission serum calcium levels and in-hospital mortality in patients with acute ST-segment elevation myocardial infarction (STEMI) has not been well definitively explored. The objective was to assess the predictive value of serum calcium levels on in-hospital mortality in STEMI patients.

methodsFrom 2003 to 2010, 1431 consecutive STEMI patients admitted to the First Affiliated Hospital of Nanjing Medical University were enrolled in the present study. Patients were stratified according to quartiles of serum calcium from the blood samples collected in the emergency room after admission. Between the aforementioned groups,the baseline characteristics, in-hospital management, and in-hospital mortality were analyzed. The association of serum calcium level with in-hospital mortality was calculated by a multivariable Cox regression analysis.

resultsAmong 1431 included patients, 79% were male and the median age was 65 years (range, 55-74). Patients in the lower quartiles of serum calcium, as compared to the upper quartiles of serum calcium, were older, had more cardiovascular risk factors, lower rate of emergency revascularization,and higher in-hospital mortality. According to univariate Cox proportional analysis, patients with lower serum calcium level (hazard ratio 0.267, 95% confidence interval 0.164-0.433, p<0.001) was associated with higher in-hospital mortality. The result of multivariable Cox proportional hazard regression analyses showed that the Killip's class≥3 (HR = 2.192, p = 0.026), aspartate aminotransferase (HR = 1.001, p<0.001), neutrophil count (HR = 1.123, p<0.001), serum calcium level (HR = 0.255, p = 0.001), and emergency revascularization (HR = 0.122, p<0.001) were significantly and independently associated with in-hospital mortality in STEMI patients.

conclusionsSerum calcium was an independent predictor for in-hospital mortality in patients with STEMI. This widely available serum biochemical index may be incorporated into the current established risk stratification model of STEMI patients. Further studies are required to determine the actual mechanism and whether patients with hypocalcaemia could benefit from calcium supplement.

Indexed as

AgedCalciumCardiovascular DiseasesChinaFemaleHospital MortalityHumansMaleMiddle AgedMyocardial InfarctionCalcium

Identifiers

PMID24926660
PMCPMC4057419
OpenAlexW1970792038

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.