bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards Further Understanding the Role of Curcumin in Wound Healing:
A Systems Biology Approach
Authors: Anukriti  , Dhingra Naveen , Bhardaj Ravindra , Bhardwaj Uma , Dhasmana Anupam 
Published: August 2022

Background:
Curcumin, a polyphenolic compound present in the turmeric plant (Curcuma
longa) is well known for its anti-aging, anti-tumor, anti-inflammatory, anti-mutagenic and antioxidative
properties due to which turmeric has been used as a medicinal plant from ages.

Objective:
Our current study aims at finding the most potent targets of curcumin displaying efficient binding
by using various systems biology tools. Around 560 genes related to wound healing are extracted
from PubMed using the combination of words like wound healing, curcumin, Homo sapiens, etc.

Methods:
For the investigation of the mechanism of curcumin interference at the system level, proteinprotein
interaction network (PPIN) of the proteins involved in the wound healing process was generated
using the STRING database. The noise of the data generated in PPIN was removed by modulation of the
network with the help of Molecular Complex Detection (MCODE) and finding the seed proteins. GO
enrichment analysis along with network topology analysis and molecular docking will help in pinpointing
the most important and efficient curcumin binding proteins.

Results:
The findings of this study shows that besides SCR, PPARG and MAPK3, AKT3 is one of the
novel targets for wound healing as the binding affinity of AKT3 is -4.53 Kcal/mol, which is close to SRC
with the highest binding affinity with binding energy of -6.6 Kcal/mol. The binding energy of PPARG
was -6.2 Kcal/mol and for MAPK3 the binding energy was -5.95 Kcal/mol. Besides AKT3, FLT4 and
RPS6KB1 were also the novel targets of curcumin with binding affinities of -4.13 Kcal/mol and -4.04
Kcal/mol. In network analysis, we obtained PIK3R1 as a connector node which acted as a hub node with
highest betweenness score.

Conclusion:
From the results obtained, we can say that curcumin finds its role in all four stages of wound
healing and it also prevents the healing cells from turning into tumors.
Diagnostic Accuracy of F18-fluorodeoxyglucose Positron Emission Tomography-
computed Tomography for the Detection of Non-small Cell
Lung Cancer Recurrence: A Systematic Review and Meta-analysis
Authors: Chen Yunbing , Zhang Deying , Fan Ka 
Published: August 2022

Background:
The non-small cell variant of lung cancer (NSCLC) has a poorer prognosis. It is typically diagnosed through non-invasive imaging. Of particular note has been FDG-PET/CT, which has been investigated across various settings with differing results.

Objective:
This study to pool the available information on the diagnostic performance of 18-F FDG PET/CT for detecting NSCLC recurrence.

Methods:
A systematic literature search was conducted across electronic databases for studies published prior to May 2021. The QUADAS tool was applied to assess study quality, and ta meta-analysis was performed to retrieve pooled estimates. Chi squared tests and I2 statistics were used to assess heterogeneity. Egger’s test and funnel plots were used to assess publication bias.

Results:
Literature search yielded 20 studies featuring data on 1,973 patients. The majority of the studies had low bias risk. The pooled sensitivity and specificity were 96% (95% CI: 91%-98%) and 93% (95% CI: 89%-95%), respectively. The LRP and LRN estimates were in the left upper quadrant of the LR scattergram, indicating that F18-FDG PET/CT can be utilized for both confirmation and exclusion.
The AUC was 0.98 (95% CI: 0.92-0.99). Fagan’s nomogram showed that F18-FDG PET/CT had good clinical utility for recurrent NSCLC diagnosis. There was considerable between-study variability (p=0.02). Funnel plot was asymmetrical, indicating the possibility of publication bias.

Conclusion:
This meta-analysis found FDG-PET/CT to be highly accurate for identifying NSCLC recurrence. However, more studies assessing this modality across different patient situations is required to strengthen the argument for changing international guidelines and practices.
Efficacy of Sinopharm Vaccine Among Stem Cell Transplant Recipients
During Two Peaks of Delta and Omicron variants of COVID-19
Authors: Ghasemi Ali , Khodashahi Rozita , Aliakbarian Mohsen , Khaleghi Ebrahim , Razmkhah Baran , Vahdatinia Mehrsa , Far Mahdi Salimi , Bakhti Omolbanin 
Published: August 2022

Background:
Considering the dearth of research on the complications of Sinopharm
coronavirus disease 2019 (COVID-19) vaccine in immunocompromised individuals and the lack of
available data on COVID-19 vaccination from Iran.

Objective:
This study aimed to investigate the efficacy of vaccine of Sinopharm COVID-19 vaccine
and its complications in bone marrow transplant (BMT) recipients.

Methods:
This was a retrospective cross-sectional study conducted on 250 patients with BMT who
were referred to Montaserieh Hospital, Mashhad, Iran. Among them, 53 cases who received at least
two doses of Sinopharm COVID-19 vaccine from March to January 2021 were entered in this
study. The data were extracted from a student dissertation (Code:4000370).

Results:
Sinopharm vaccine side effects were reported only in 7.7% of the patients, and shingles
was the only serious side effect of the Sinopharm vaccine, which was observed only in one case.
The results also revealed that Sinopharm COVID-19 vaccine side effects were not related to age or
gender. Infection with the Delta variant of COVID-19 was reported in 7.5% (n=4) and no mortality
was reported among them. Vaccine failure was reported in 39.6% of the cases; however, no mortality
was reported among patients infected with the Omicron variant of COVID-19.

Conclusion:
In summary, it seems that Sinopharm COVID-19 vaccine adverse effects were not serious
among stem cell transplant recipients. However, it may lead to some severe complications in
the population. Vaccine failure against the Delta and Omicron variants of COVID-19 has been reported
among more than one-third of BMT patients; however, no mortality was observed among
BMT patients infected with the new variants of COVID-19.
Identification of Key Prognosis-related microRNAs in Early- and Late-
Stage Gynecological Cancers Based on TCGA Data
Authors: Mekala Venugopala Reddy , Hui-Shan Chiang , Jan-Gowth Chang , Ng Ka-Lok 
Published: August 2022

Background:
Gynecological cancers (GCs), mainly diagnosed in the late stages of the disease, remain the leading cause of global mortality in women. microRNAs (miRNAs) have been explored as diagnostic and prognostic biomarkers of cancer. Evaluating miRNA signatures to develop
prognostic models could be useful in predicting high-risk patients with GC. Specifically, the identification of miRNAs associated with different stages of cancer can be beneficial in patients diagnosed with
cancer.

Objective:
This study aimed to identify potential miRNA signatures for constructing optimal prognostic
models in three major GCs using The Cancer Genome Atlas (TCGA) database

Methods:
Stage-specific Differentially Expressed microRNAs (DEmiRs) were identified and validated
in public and in-house expression datasets. Moreover, various bioinformatics investigations were used
to identify potential DEmiRs associated with the disease. All DEmiRs were analyzed using three penalized Cox regression models: lasso, adaptive lasso, and elastic net algorithms. The combined outcomes
were evaluated using Best Subset Regression (BSR). Prognostic DEmiR models were evaluated using
Kaplan–Meier plots to predict risk scores in patients. The biological pathways of the potential DEmiRs
were identified using functional enrichment analysis.

Results:
A total of 65 DEmiRs were identified in the three cancer types; among them, 17 demonstrated
dysregulated expression in public datasets of cervical cancer, and the expression profiles of 9 DEmiRs
were changed in CCLE-OV cells, whereas those of 10 are dysregulated in CCLE-UCEC cells. Additionally, ten miRNA expression profiles were observed to be the same as DEmiRs in three OV cancer
cell lines. Approximately 30 DEmiRs were experimentally validated in particular cancers. Furthermore,
23 DEmiRs were correlated with the overall survival of the patients. The combined analysis of the three
penalized Cox models and BSR analysis predicted eight potential DEmiRs. A total of five models based
on five DEmiRs (hsa-mir-526b, hsa-mir-508, and hsa-mir-204 in CESC and hsa-mir-137 and hsa-mir1251 in UESC samples) successfully differentiated high-risk and low-risk patients. Functional enrichment analysis revealed that these DEmiRs play crucial roles in GCs.

Conclusion:
We report potential DEmiR-based prognostic models to predict the high-risk patients with
GC and demonstrate the roles of miRNA signatures in the early- and late-stage of GCs.
Cognition, Symptomatology, and Community Living Skills in Schizophrenia
Authors: Chien Kuo Michael Chih , Sin Wai Yee , Wong Wai Nga , Michelle Lo Yi To , Elizabeth Tse Uen Ting , Helen Wong Hoi Wai , Elizabeth Tung Ka Yin , Fung Amy Dun-mi 
Published: August 2022

Background:
Independence in community living is an important aspect of rehabilitation in schizophrenia. Previous studies investigating relationships of coginitive, symptomatic, and demographic factors in community living ability of schizophrenia showed inconsistent findings. These findings may be due to variations in functional measures used or a heterogenous sample of participants recruited.

Aim:
To investigate the relationships of cognitive, symptomatic and demographic factors with community living skills for people with schizophrenia living in supported living facilities.

Method:
This is a cross-sectional study. Thirty-seven adults with schizophrenia and 32 matched healthy controls were recruited. Both groups completed the Verbal Fluency Test, subtests of Cognistat, and the Color Trail Test. Additional assessments (i.e., Chinese version of St. Louis Inventory of Community Living Skills – SLICLS-C and Positive and Negative Syndrome Scale – PANSS) were used to evaluate participants with schizophrenia. Cognitive profile was compared between the two groups. Correlation analysis was used to explore the relationships of cognitive abilities, symptomatology, and demographic factors with community living skills in schizophrenia.

Results:
Results showed that participants with schizophrenia performed worse than the control group in verbal fluency, visual memory, immediate memory, delayed memory, and executive function tests. Significant moderate correlations between SLICLS-C score and participants’ years of education, positive symptoms, general psychopathology, and PANSS total score were identified.

Discussions and conclusion:
Results indicated cognitive impairments are persistent in schizophrenia who are in remission and have been partially integrated back into the community. Cognitive deficits that people with schizophrenia experience might be stable over most of the course of the illness. Participants’ years of education, positive symptoms, general psychopathology, and PANSS total score might be important moderating variables to include in future investigations related to predicting community living performance in schizophrenia.
The Development and Use of Chatbots in Public Health: Scoping Review
Authors: Wilson Lee , Marasoiu Mariana 
Published: August 2022

Background
Chatbots are computer programs that present a conversation-like interface through which people can access information and services. The COVID-19 pandemic has driven a substantial increase in the use of chatbots to support and complement traditional health care systems. However, despite the uptake in their use, evidence to support the development and deployment of chatbots in public health remains limited. Recent reviews have focused on the use of chatbots during the COVID-19 pandemic and the use of conversational agents in health care more generally. This paper complements this research and addresses a gap in the literature by assessing the breadth and scope of research evidence for the use of chatbots across the domain of public health.

Objective
This scoping review had 3 main objectives: (1) to identify the application domains in public health in which there is the most evidence for the development and use of chatbots; (2) to identify the types of chatbots that are being deployed in these domains; and (3) to ascertain the methods and methodologies by which chatbots are being evaluated in public health applications. This paper explored the implications for future research on the development and deployment of chatbots in public health in light of the analysis of the evidence for their use.

Methods
Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines for scoping reviews, relevant studies were identified through searches conducted in the MEDLINE, PubMed, Scopus, Cochrane Central Register of Controlled Trials, IEEE Xplore, ACM Digital Library, and Open Grey databases from mid-June to August 2021. Studies were included if they used or evaluated chatbots for the purpose of prevention or intervention and for which the evidence showed a demonstrable health impact.

Results
Of the 1506 studies identified, 32 were included in the review. The results show a substantial increase in the interest of chatbots in the past few years, shortly before the pandemic. Half (16/32, 50%) of the research evaluated chatbots applied to mental health or COVID-19. The studies suggest promise in the application of chatbots, especially to easily automated and repetitive tasks, but overall, the evidence for the efficacy of chatbots for prevention and intervention across all domains is limited at present.

Conclusions
More research is needed to fully understand the effectiveness of using chatbots in public health. Concerns with the clinical, legal, and ethical aspects of the use of chatbots for health care are well founded given the speed with which they have been adopted in practice. Future research on their use should address these concerns through the development of expertise and best practices specific to public health, including a greater focus on user experience.
Home-Based Respiratory Physiotherapy and Telephone-Based Psychological Support for COVID-19 Survivors in Peru: Protocol for a Randomized Controlled Trial
Authors: Soriano-Moreno Anderson N , Flores Elaine C , Hartinger Stella M , Mallma Claudia Y , Diaz Arnold A , Gianella Gonzalo E , Galvez-Buccollini Juan A , Coico-Lama Abdiel H , Malaga German , Fajardo Eufemia , Paredes-Angeles Rubí , Otazú-Alfaro Sharlyn , Lescano Andres G , Checkley William ,   WAYRA Trial Investigators
Published: August 2022

Background
Both pulmonary and mental health are affected following hospitalization for COVID-19 pneumonia. Pulmonary rehabilitation therapy has demonstrated benefits in improving mental health, but no validated combined programs that include mental health have been proposed.

Objective
This article presents the design of a trial that aimed to assess whether the participation in a combined rehabilitation program that includes home-based respiratory physiotherapy and telephone-based psychological support is associated with a greater improvement of pulmonary and mental health outcomes 7-12 weeks after COVID-19 hospitalization discharge compared with posthospital usual care provided by a public Peruvian hospital.

Methods
WAYRA (the word for air in the Quechua language) was an open-label, unblinded, two-arm randomized controlled trial. We recruited 108 participants aged 18-75 years who were discharged from the hospital after COVID-19 pneumonia that required >6 liters/minute of supplemental oxygen during treatment. Participants were randomly assigned at a 1:1 ratio to receive the combined rehabilitation program or usual posthospital care provided by a public Peruvian hospital. The intervention consisted of 12 at-home respiratory rehabilitation sessions and 6 telephone-based psychological sessions. The primary outcome was the 6-minute walk distance. Secondary outcomes included lung function, mental health status (depression, anxiety, and trauma), and quality of life. Outcomes were assessed at baseline (before randomization) and at 7 and 12 weeks after hospital discharge to assess the difference between arms.

Results
This study was funded by the Peruvian National Council of Science Technology and Technology Innovation in July 2020. Ethics approval was obtained on September 2, 2020. Recruitment and data collection occurred between October 2020 and June 2021. Results are expected to be published by the end of 2022.

Conclusions
WAYRA was the first randomized controlled trial evaluating combined pulmonary-mental health rehabilitation for hospitalized COVID-19 survivors in resource-limited settings, potentially providing a foundation for the cost-effective scale-up of similar multidisciplinary rehabilitation programs.

Trial Registration
ClinicalTrials.gov NCT04649736; https://clinicaltrials.gov/ct2/show/NCT04649736

International Registered Report Identifier (IRRID)
RR1-10.2196/36001
Answering Hospital Caregivers’ Questions at Any Time: Proof-of-Concept Study of an Artificial Intelligence–Based Chatbot in a French Hospital
Authors: Daniel Thomas , de Chevigny Alix , Champrigaud Adeline , Valette Julie , Sitbon Marine , Jardin Meryam , Chevalier Delphine , Renet Sophie 
Published: August 2022

Background
Access to accurate information in health care is a key point for caregivers to avoid medication errors, especially with the reorganization of staff and drug circuits during health crises such as the COVID‑19 pandemic. It is, therefore, the role of the hospital pharmacy to answer caregivers’ questions. Some may require the expertise of a pharmacist, some should be answered by pharmacy technicians, but others are simple and redundant, and automated responses may be provided.

Objective
We aimed at developing and implementing a chatbot to answer questions from hospital caregivers about drugs and pharmacy organization 24 hours a day and to evaluate this tool.

Methods
The ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model was used by a multiprofessional team composed of 3 hospital pharmacists, 2 members of the Innovation and Transformation Department, and the IT service provider. Based on an analysis of the caregivers’ needs about drugs and pharmacy organization, we designed and developed a chatbot. The tool was then evaluated before its implementation into the hospital intranet. Its relevance and conversations with testers were monitored via the IT provider’s back office.

Results
Needs analysis with 5 hospital pharmacists and 33 caregivers from 5 health services allowed us to identify 7 themes about drugs and pharmacy organization (such as opening hours and specific prescriptions). After a year of chatbot design and development, the test version obtained good evaluation scores: its speed was rated 8.2 out of 10, usability 8.1 out of 10, and appearance 7.5 out of 10. Testers were generally satisfied (70%) and were hoping for the content to be enhanced.

Conclusions
The chatbot seems to be a relevant tool for hospital caregivers, helping them obtain reliable and verified information they need on drugs and pharmacy organization. In the context of significant mobility of nursing staff during the health crisis due to the COVID-19 pandemic, the chatbot could be a suitable tool for transmitting relevant information related to drug circuits or specific procedures. To our knowledge, this is the first time that such a tool has been designed for caregivers. Its development further continued by means of tests conducted with other users such as pharmacy technicians and via the integration of additional data before the implementation on the 2 hospital sites.
Peran UPT-BP2MI DIY Dalam Pemberdayaan Pekerja Migran Indonesia Purna Dan Implikasinya Terhadap Ketahanan Ekonomi Keluarga
Authors: Hartanto1 Dwi 
Published: August 2022

ABSTRACT This study aimed to analyzed the role of UPT-BP2MI DIY in empowering PMI Purna and analyzed its implications for family economic resilience. This study used the theory of role, empowerment and the theory of family economic resilience. This research approach was a qualitative research with descriptive exploratory method with data collection techniques used were observation, interviews, documentation and literature. The informants in this study amounted to 13 people consist of employees of UPT-BP2MI DIY and PMI Purna. Data analysis used was data categorization, data reduction, data presentation, and drawing conclusions.The results of this study indicated that through the empowerment of PMI Purna organized by UPT-BP2MI DIY it had implications for increasing insight, skills, and abilities to created independence and economic resilience for PMI Purna families. In its implementation, there were still obstacles faced by UPT-BP2MI DIY and PMI Purna for implementing the results of empowerment. The empowerment activities carried out had implications for the economic resilience of PMI Purna's families, which could be seen through four aspects, namely: (1). Family residence, (2). Family income that had exceeded the Provincial Minimum Wage (UMP) of DIY Province of Rp. 1,765,000 rupiah, this was one of the strongest aspects of determining the implications of PMI Purna's family economic resilience, (3). Financing the education of children who did not drop out of school in the 12-year compulsory education, and (4). Family financial guarantees in the form of bank products, non banks and others.
COMMUNICATION SKILLS: FACILITATING STUDENTS’ INVISIBLE BUT SIGNIFICANT SKILLS TO IMPROVE HEALTH OUTCOMES
Authors: Nurrokhmanti, Hikmawati , Susilo Astrid Pratidina , Indah Rosaria , Claramita Mora 
Published: August 2022

Background: Communication skills are the core skills throughout medical professional life and embedded with cultural factors. Although students have learned communication skills in the undergraduate education, adequate training during clinical rotation and continuing professional development is necessary. Facilitating the students to build partnership relationship in the communicating with patients is challenging, considering its contexts, facilities, and opportunities. The influence of student-teacher relations in this hierarchical context is also influential. Gaps: Facilitating partnership communication skill requires blending two paradigms: medical knowledge and communication. These complex skills can be optimally facilitated by using specific strategies such as role-play, simulated patient (SP), and real-case encounter. Thus, the communication skills curriculum needs a comprehensive program planning, preparation on the students’ ability to be able to receive feedback and reflect upon it, simulated patients’ contribution for students training, and teachers to provide effective feedback.Recommendation: Facilitating students' communication skills needs 'two to tango,' combining between mastery of medical knowledge and partnership communication. A better communication curriculum should consider incorporating cultural competencies and applying the principles in effective training course design such as authenticity, variability, gradually from simple to complex, integrated, and scaffolding by specific evidence. Thus, should be supported by a good faculty development program that will facilitate safe environment and constructive feedback. In addition, the need for simulated patients or even now, a virtual patient, is inevitable.