Evidence map›Paper›PMID 38192767›Full record

ArticleHeliyon2024

Baseline high-sensitivity C-reactive protein and glycosylated hemoglobinA1c predict adverse outcomes in patients with chronic coronary syndromes undergoing percutaneous coronary intervention.

Xiao-Fang Tang, De-Shan Yuan, Pei Zhu, Na Xu, Yi Yao, Pei-Zhi Wang, Yan Chen, Li-Jian Gao, Lei Song, Yue-Jin Yang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 1 institution in 1 country.

Xiao-Fang TangDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
De-Shan YuanDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Pei ZhuDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Na XuDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yi YaoDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Pei-Zhi WangDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan ChenDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Li-Jian GaoDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lei SongDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yue-Jin YangDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Run-Lin GaoDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xue-Yan ZhaoDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jin-Qing YuanDepartment of Cardiology, Centre for Coronary Heart Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explored the ability of high-sensitivity C-reactive protein (hs-CRP) and glycosylated hemoglobin A1c (HbA1c) to predict adverse cardiac and cerebrovascular outcomes in patients with chronic coronary syndromes (CCS) undergoing percutaneous coronary intervention (PCI). Methods: In total, 4083 consecutive patients with CCS undergoing PCI were investigated throughout 2013 at a single center. The primary endpoint was all-cause death at the 5-year follow-up. Hs-CRP and HbA1c data were collected on admission. Results: The highest quartile of hs-CRP had a significantly increased the risk of all-cause death, with an adjusted HR of 1.747 (95 % CI 1.066-2.863), while, there was no difference in all-cause death among the groups of HbA1c after adjustment, with an adjusted HR of 1.383 (95 % CI 0.716-2.674). The highest quartiles for hs-CRP and HbA1c in the study population had a significantly increased risk of major adverse cardiac and cerebrovascular events (MACCE), with an adjusted hazard ratios (HR) of 1.263 (95 % confidence intervals [CI] 1.032-1.545) for hs-CRP and an adjusted HR of 1.417 (95 % CI 1.091-1.840) for HbA1c. Remarkably, the incidence of all-cause death and that of MACCE were significantly increased when both hs-CRP and HbA1c were elevated (HR 1.971, 95 % CI 1.079-3.601, P = 0.027 and HR 1.560, 95 % CI 1.191-2.042), P = 0.001, respectively). Addition of hs-CRP and HbA1c to conventional risk factors significantly improved prediction of the risk of all cause death (net reclassification index 0.492, P < 0.001; integrated discrimination improvement 0.007, P = 0.011) and MACCE (net reclassification index 0.160, P < 0.001; integrated discrimination improvement 0.006, P < 0.001). Conclusions: Hs-CRP and HbA1c can serve as independent predictors of MACCE in patients with CCS undergoing PCI. Furthermore, a combination of hs-CRP and HbA1c could predict all cause death and MACCE better than each component individually.

Indexed as

Chronic coronary syndromesGlycosylated hemoglobinA1cHigh-sensitivity C-Reactive proteinPercutaneous coronary interventionPrognosis

Identifiers

PMID38192767
PMCPMC10772714
OpenAlexW4389849719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.