| 1. |
- Dong, Yi-Min, et al.
(författare)
-
Development and Validation of a Nomogram for Assessing Survival in Patients With COVID-19 Pneumonia
- 2021
-
Ingår i: Clinical Infectious Diseases. - : Oxford University Press. - 1058-4838 .- 1537-6591. ; 72:4, s. 652-660
-
Tidskriftsartikel (refereegranskat)abstract
- Background. The outbreak of coronavirus disease 2019 (COVID-19) has spread worldwide and continues to threaten peoples' health as well as put pressure on the accessibility of medical systems. Early prediction of survival of hospitalized patients will help in the clinical management of COVID-19, but a prediction model that is reliable and valid is still lacking. Methods. We retrospectively enrolled 628 confirmed cases of COVID-19 using positive RT-PCR tests for SARS-CoV-2 in Tongji Hospital, Wuhan, China. These patients were randomly grouped into a training (60%) and a validation (40%) cohort. In the training cohort, LASSO regression analysis and multivariate Cox regression analysis were utilized to identify prognostic factors for in-hospital survival of patients with COVID-19. A nomogram based on the 3 variables was built for clinical use. AUCs, concordance indexes (C-index), and calibration curves were used to evaluate the efficiency of the nomogram in both training and validation cohorts. Results. Hypertension, higher neutrophil-to-lymphocyte ratio, and increased NT-proBNP values were found to be significantly associated with poorer prognosis in hospitalized patients with COVID-19. The 3 predictors were further used to build a prediction nomogram. The C-indexes of the nomogram in the training and validation cohorts were 0.901 and 0.892, respectively. The AUC in the training cohort was 0.922 for 14-day and 0.919 for 21-day probability of in-hospital survival, while in the validation cohort this was 0.922 and 0.881, respectively. Moreover, the calibration curve for 14- and 21-day survival also showed high coherence between the predicted and actual probability of survival. Conclusions. We built a predictive model and constructed a nomogram for predicting in-hospital survival of patients with COVID-19. This model has good performance and might be utilized clinically in management of COVID-19.
|
|
| 2. |
- Dong, Yi-Min, et al.
(författare)
-
Reply to Collins et al
- 2021
-
Ingår i: Clinical Infectious Diseases. - : Oxford University Press. - 1058-4838 .- 1537-6591. ; 73:3, s. 558-559
-
Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
|
|
| 3. |
- Yeung, Andy Wai Kan, et al.
(författare)
-
Dietary natural products and their potential to influence health and disease including animal model studies
- 2018
-
Ingår i: Animal Science Papers and Reports. - : POLSKA AKAD NAUK, INST GENETYKI I HODOWLI ZWIERZAT. - 0860-4037. ; 36:4, s. 345-358
-
Forskningsöversikt (refereegranskat)abstract
- Although biological and pharmacological effects of dietary natural products have been intensively studied, there has been no bibliometric analysis performed on this research field up to now. The current study has aimed to identify and analyze the manuscripts on dietary natural products and their potential to influence health and disease including studies using animal models. Data, including words from titles and abstracts, publication and citation data, have been extracted from Web of Science database and analyzed by the VOSviewer software. Our search has yielded 1,014 manuscripts. The ratio of original articles to reviews was identified to be 1.5:1. Over half of the manuscripts have been published since 2010. The manuscripts have been contributed by 4,301 authors from 1,445 organizations in 76 countries/territories and published in 499 journals. The results from the current study point out that scientific research focusing on the potential of dietary natural products to affect health and disease status (including animal model studies) is expanding, and suggests an increasing significance of this scientific area. With the progressive development and improvement of animal studies, it should be expected that animal models of different human diseases (especially civilization ones) would be an integral part of the research for the evaluation of pharmaceuticals originated from dietary natural products like plants or plant materials. Moreover, natural products can also be fed to animals to improve the quality of animal products, with numerous resulting functional effects.
|
|
| 4. |
- Yeung, Andy Wai Kan, et al.
(författare)
-
Resveratrol, a popular dietary supplement for human and animal health : Quantitative research literature analysis - a review
- 2019
-
Ingår i: Animal Science Papers and Reports. - : POLSKA AKAD NAUK, INST GENETYKI I HODOWLI ZWIERZAT. - 0860-4037. ; 37:2, s. 103-118
-
Forskningsöversikt (refereegranskat)abstract
- Resveratrol is a stilbene-type bioactive molecule with a broad spectrum of reported biological effects. In this sense, the current work provides a comprehensive literature analysis on resveratrol, representing a highly-researched commercially available dietary ingredient. Bibliometric data were identified by means of the search string TOPIC=("resveratrol*") and analyzed with the VOSviewer software, which yielded 17,561 publications extracted from the Web of Science Core Collection electronic database. 'I'he ratio of original articles to reviews was 9.5:1. More than half of the overall manuscripts have been published since 2013. Major contributing countries were USA, China, Italy, South Korea, and Spain. Most of the publications appeared in journals specialized in biochemistry and molecular biology, pharmacology and pharmacy, food science technology, cell biology, or oncology. The phytochemicals or phytochemical classes that were frequently mentioned in the keywords of analyzed publications included, in descending order: resveratrol, trans-resveratrol, polyphenols, flavonoids, quercetin, stilbenes, curcumin, piceatannol, cis-resveratrol, and anthocyanins.
|
|
