Observational studyMedicine2019
Prognostic value of neutrophil gelatinase-associated lipocalin and glycosylated hemoglobin for non-ST-segment elevation myocardial infarction patients with single concomitant chronic total occlusion following primary percutaneous coronary intervention: A prospective observational study.
Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.
- Determinants of stroke following percutaneous coronary intervention in patients with acute coronary syndrome: a systematic review and meta-analysis.Annals of medicine · 2025Pooled it
- Neutrophil-Enriched Biomarkers and Long-Term Prognosis in Acute Coronary Syndrome: a Systematic Review and Meta-analysis.Journal of cardiovascular translational research · 2024Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate factors predicting the onset of major adverse cardiovascular and cerebrovascular events (MACCEs) after primary percutaneous coronary intervention (pPCI) for patients with non-ST-segment elevation infarction (NSTEMI) and single concomitant chronic total occlusion (CTO). Neutrophil gelatinase-associated lipocalin (NGAL) and glycosylated hemoglobin (HbA1c) both play essential role in cardiovascular and cerebrovascular homoeostasis. However, current knowledge of its predictive prognostic value is limited.422 patients with NSTEMI and CTO (59.7 ± 12.4 years, 74.2% men) who underwent successful pPCI were enrolled and followed for 2 years. Multivariate cox regression analysis and receiver operating characteristic (ROC) curve analysis were performed to determine the factors predicting MACCEs.140 patients (33.2%) experienced MACCEs in the follow-up period. Multivariate cox regression analysis found when we process the model with NGAL at admission, low left ventricular ejection fraction (LVEF, HR = 0.963, 95% CI 0.940 to 0.987, P = .003) and fasting blood glucose (HR = 1.078, 95% CI 1.002 to 1.159, P = .044), but not NGAL at admission, were independent predictors of 2 years MACCEs. While HbA1C (HR = 1.119, 95% CI 1.014 to 1.234, P = .025), LVEF (HR = 0.963, 95% CI 0.939 to 0.987, P = .003), estimated glomerular filtration rate (HR = 1.020, 95% CI 1.006 to 1.035, P = .006) and NGAL value 7 day (HR = 1.020, 95% CI 1.006 to 1.035, P = .006) showed their predictive value in another model. ROC analysis indicated NGAL 7 day (AUC = 0.680, P = .0054 and AUC = 0.622, P = .0005) and LVEF (AUC = 0.691, P = .0298 and AUC = 0.605, P = .0021) could predict both in-hospital and 2 years MACCEs, while higher NGAL at admission could only predict poorer in-hospital prognosis (AUC = 0.665, P = .0103). Further analysis showed the prognostic value of NGAL was particularly remarkable among those HbA1C<6.5%.Patients with NSTEMI and single concomitant CTO receiving pPCI with higher NGAL on 7 days during hospitalization are more likely to suffer 2 years MACCEs, particularly in those with lower HbA1C.
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Registered trials
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.