Evidence map›Paper›PMID 26468876›Full record

ArticlePloS one2015

Combined Value of Red Blood Cell Distribution Width and Global Registry of Acute Coronary Events Risk Score for Predicting Cardiovascular Events in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Na Zhao, Lan Mi, Xiaojun Liu, Shuo Pan, Jiaojiao Xu, Dongyu Xia, Zhongwei Liu, Yong Zhang, Yu Xiang, Zuyi Yuan and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  18. Preoperative red cell distribution width: Not a useful prognostic indicator for 30-day mortality in patients who undergo major- or ultra-major noncardiac surgery.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2016
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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

12 authors at 4 institutions in 1 country.

Na ZhaoDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Lan MiDepartment of Medical Affairs, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Xiaojun LiuDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China; Department of Cardiovascular Medicine, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Shuo PanDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Jiaojiao XuDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Dongyu XiaDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Zhongwei LiuDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Yong ZhangDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Yu XiangDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Zuyi YuanDepartment of Cardiovascular Medicine, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Gongchang GuanDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Junkui WangDepartment of Cardiovascular Medicine, Shaanxi Province People's Hospital, Xi'an, Shaanxi, China.
Shaanxi Provincial People's Hospital · CNShanxi Medical University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global Registry of Acute Coronary Events (GRACE) risk score and red blood cell distribution width (RDW) content can both independently predict major adverse cardiac events (MACEs) in patients with acute coronary syndrome (ACS). We investigated the combined predictive value of RDW and GRACE risk score for cardiovascular events in patients with ACS undergoing percutaneous coronary intervention (PCI) for the first time. We enrolled 480 ACS patients. During a median follow-up time of 37.2 months, 70 (14.58%) patients experienced MACEs. Patients were divided into tertiles according to the baseline RDW content (11.30-12.90, 13.00-13.50, 13.60-16.40). GRACE score was positively correlated with RDW content. Multivariate Cox analysis showed that both GRACE score and RDW content were independent predictors of MACEs (hazard ratio 1.039; 95% confidence interval [CI] 1.024-1.055; p < 0.001; 1.699; 1.294-2.232; p < 0.001; respectively). Furthermore, Kaplan-Meier analysis demonstrated that the risk of MACEs increased with increasing RDW content (p < 0.001). For GRACE score alone, the area under the receiver operating characteristic (ROC) curve for MACEs was 0.749 (95% CI: 0.707-0.787). The area under the ROC curve for MACEs increased to 0.805 (0.766-0.839, p = 0.034) after adding RDW content. The incremental predictive value of combining RDW content and GRACE risk score was significantly improved, also shown by the net reclassification improvement (NRI = 0.352, p < 0.001) and integrated discrimination improvement (IDI = 0.023, p = 0.002). Combining the predictive value of RDW and GRACE risk score yielded a more accurate predictive value for long-term cardiovascular events in ACS patients who underwent PCI as compared to each measure alone.

Indexed as

Erythrocyte IndicesAcute Coronary SyndromeAgedDiscriminant AnalysisFemaleHumansIncidenceKaplan-Meier EstimateMaleMiddle AgedMyocardial InfarctionPercutaneous Coronary InterventionPrognosisRisk FactorsROC Curve

Identifiers

PMID26468876
PMCPMC4607415
OpenAlexW2267485868

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.