Evidence map›Paper›PMID 32334528›Full record

Observational studyBMC cardiovascular disorders2020

Evaluation and comparison of six GRACE models for the stratification of undifferentiated chest pain in the emergency department.

Wen Zheng, Guangmei Wang, Jingjing Ma, Shuo Wu, He Zhang, Jiaqi Zheng, Feng Xu, Jiali Wang, Yuguo Chen

Open access · goldAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2020. 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
0.7field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Review
  5. Observational
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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

9 authors at 3 institutions in 2 countries.

Wen ZhengDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Guangmei WangDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Jingjing MaDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Shuo WuDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
He ZhangDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Jiaqi ZhengDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Feng XuDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Jiali WangDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Yuguo ChenDepartment of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, No.107, Wen Hua Xi Road, Jinan, 250012, Shandong, China. chen919085@sdu.edu.cn.
Qilu Hospital of Shandong University · CNMinistry of Education · THChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Key R&D Program of Shandong Province 2016ZDJS07A14Key R&D Program of Shandong Province 2018GSF118003National Key R&D Program of China 2017YFC0908700, 2017YFC0908703National S&T Fundamental Resources Investigation Project 2018FY100600, 2018FY100602Taishan Pandeng Scholar Program of Shandong Province tspd20181220Taishan Young Scholar Program of Shandong Province tsqn20161065Taishan Young Scholar Program of Shandong Province tsqn201812129
6 · The paper itself

Abstract

backgroundThe Global Registry of Acute Coronary Events (GRACE) score is recommended for stratifying chest pain. However, there are six formulas used to calculate the GRACE score for different outcomes of acute coronary syndrome (ACS), including death (Dth) or composite of death and myocardial infarction (MI), while in hospital (IH), within 6 months after discharge (OH6m) or from admission to 6 months later (IH6m). We aimed to perform the first comprehensive evaluation and comparison of six GRACE models to predict 30-day major adverse cardiac events (MACEs) in patients with acute chest pain in the emergency department (ED).

methodsPatients with acute chest pain were consecutively recruited from August 24, 2015 to September 30, 2017 from the EDs of two public hospitals in China. The 30-day MACEs included death, acute myocardial infarction (AMI), emergency revascularization, cardiac arrest and cardiogenic shock. The correlation, calibration, discrimination, reclassification and diagnostic accuracy at certain cutoff values of six GRACE models were evaluated. Comparisons with the History, ECG, Age, Risk Factors, and Troponin (HEART) and Thrombolysis in Myocardial Infarction (TIMI) scores were conducted.

resultsA total of 2886 patients were analyzed, with 590 (20.4%) patients experiencing outcomes. The GRACE (IHDthMI), GRACE (IH6mDthMI), GRACE (IHDth), GRACE (IH6mDth), GRACE (OH6mDth) and GRACE (OH6mDthMI) showed positive linear correlations with the actual MACE rates (r ≥ 0.568, P < 0.001). All these models had good calibration (Hosmer-Lemeshow test, P ≥ 0.073) except GRACE (IHDthMI) (P < 0.001). The corresponding C-statistics were 0.83(0.81,0.84), 0.82(0.81,0.83), 0.75(0.73,0.76), 0.73(0.72,0.75), 0.72(0.70,0.73) and 0.70(0.68,0.71), respectively, first two of which were comparable to HEART (0.82, 0.80-0.83) and superior to TIMI (0.71, 0.69-0.73). With a sensitivity ≥95%, GRACE (IHDthMI) ≤81 and GRACE (IH6mDthMI) ≤79 identified 868(30%) and 821(28%) patients as low risk, respectively, which were significantly better than other GRACEs and HEART ≤3(22%). With a specificity ≥95%, GRACE (IHDthMI) > 186 and GRACE (IH6mDthMI) > 161 could recognize 12% and 11% patients as high risk, which were greater than other GRACEs, HEART ≥8(9%) and TIMI ≥5(8%).

conclusionsIn this Chinese setting, certain strengths of GRACE models beyond HEART and TIMI scores were still noteworthy for stratifying chest pain patients. The validation and reasonable application of appropriate GRACE models in the evaluation of undifferentiated chest pain should be recommended.

Indexed as

Clinical Decision RulesEmergency Service, HospitalAgedAngina PectorisCause of DeathChinaDisease ProgressionFemaleHumansMaleMiddle AgedMyocardial RevascularizationPredictive Value of TestsPrognosisProspective StudiesReproducibility of ResultsChest painGRACEHEARTStratificationTIMI

Identifiers

PMID32334528
PMCPMC7183650
OpenAlexW3020172030

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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.