Category: Statistics

PLoS One. 2022 Aug 31;17(8):e0273691. doi: 10.1371/journal.pone.0273691. eCollection 2022.

ABSTRACT

BACKGROUND: COVID-19 is spreading rapidly worldwide, and the population is generally susceptible to SARS-CoV-2, especially those with cancer. Hence, our study aims to design a protocol for a systematic review and meta-analysis of the clinical characteristics and prognoses of lung cancer patients with COVID-19.

METHODS: The protocol is prepared following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The literature will be searched in Embase, Pubmed, the Cochrane Library, LitCovid, and CNKI for potentially eligible articles. The quality of the articles will be used in the Newcastle-Ottawa Quality Assessment Scale (NOS) and Cochrane Handbook for Systematic Reviews of Interventions. Statistical analysis will be performed through RevMan 5 software. This review protocol has been registered in PROSPERO (CRD42022306866).

DISCUSSION: To clarify whether COVID-19 affects the clinical symptoms and prognoses of lung cancer patients. Further study is needed to establish the best evidence-based for the management of lung cancer patients with COVID-19.

CONCLUSION: The definitive conclusion will be important to physicians effectively manage lung cancer patients with COVID-19.

PMID:36044455 | DOI:10.1371/journal.pone.0273691

PLoS One. 2022 Aug 31;17(8):e0272460. doi: 10.1371/journal.pone.0272460. eCollection 2022.

ABSTRACT

Recovery activities during short breaks taken between work tasks are solutions for preventing the impairing effects of accumulated strain. No wonder then that a growing body of scientific literature from various perspectives emerged on this topic. The present meta-analysis is aimed at estimating the efficacy of micro-breaks in enhancing well-being (vigor and fatigue) and performance, as well as in which conditions and for whom are the micro-breaks most effective. We searched the existent literature on this topic and aggregated the existing data from experimental and quasi-experimental studies. The systematic search revealed 19 records, which resulted in 22 independent study samples (N = 2335). Random-effects meta-analyses shown statistically significant but small effects of micro-breaks in boosting vigor (d = .36, p < .001; k = 9, n = 913), reducing fatigue (d = .35, p < .001; k = 9, n = 803), and a non-significant effect on increasing overall performance (d = .16, p = .116; k = 15, n = 1132). Sub-groups analyses on performance types revealed significant effects only for tasks with less cognitive demands. A meta-regression showed that the longer the break, the greater the boost was on performance. Overall, the data support the role of micro-breaks for well-being, while for performance, recovering from highly depleting tasks may need more than 10-minute breaks. Therefore, future studies should focus on this issue.

PMID:36044424 | DOI:10.1371/journal.pone.0272460

Alzheimers Dement. 2022 Aug 31. doi: 10.1002/alz.12764. Online ahead of print.

ABSTRACT

BACKGROUND: An ample literature documents the growing prevalence of dementia and associated costs. Less attention has been paid to decreased dementia incidence in some countries.

METHODS: We analyzed trends in age-standardized dementia, stroke, and ischemic heart disease (the triple threat) incidence rates and population attributable fraction of death and disability attributable to 12 risk factors in 204 countries and territories and 51 regions using Global Burden of Disease 2019 data.

RESULTS: During 1990 to 2019, dementia incidence declined in 71 countries; 18 showed statistically significant declines, ranging from -12.1% (95% uncertainty intervals -16.9 to -6.8) to -2.4% (-4.6 to -0.5). During 2010 to 2019, 16 countries showed non-significant declines. Globally, the burden of the triple threat attributable to air pollution, dietary risks, non-optimal temperature, lead exposure, and tobacco use decreased from 1990 to 2019.

CONCLUSION: The declining incidence of dementia in some countries, despite growing prevalence, is encouraging and urges further investigation.

PMID:36044376 | DOI:10.1002/alz.12764

Elife. 2022 Aug 31;11:e78012. doi: 10.7554/eLife.78012.

ABSTRACT

Omics-based technologies are driving major advances in precision medicine, but efforts are still required to consolidate their use in drug discovery. In this work, we exemplify the use of multi-omics to support the development of 3-chloropiperidines, a new class of candidate anticancer agents. Combined analyses of transcriptome and chromatin accessibility elucidated the mechanisms underlying sensitivity to test agents. Furthermore, we implemented a new versatile strategy for the integration of RNA- and ATAC-seq (Assay for Transposase-Accessible Chromatin) data, able to accelerate and extend the standalone analyses of distinct omic layers. This platform guided the construction of a perturbation-informed basal signature predicting cancer cell lines’ sensitivity and to further direct compound development against specific tumor types. Overall, this approach offers a scalable pipeline to support the early phases of drug discovery, understanding of mechanisms, and potentially inform the positioning of therapeutics in the clinic.

PMID:36043458 | DOI:10.7554/eLife.78012

Nephrology (Carlton). 2022 Aug 31. doi: 10.1111/nep.14108. Online ahead of print.

ABSTRACT

INTRODUCTION: Predicting outcome after transplantation of marginal kidneys is a challenging task. Donor creatinine or estimated glomerular filtration rate (eGFR) are integral components of the respective risk scores. However, there is uncertainty on which of their values obtained successively during procurement is the most suitable.

MATERIAL AND METHODS: This is a retrospective study of 221 adult brain death donors with marginal kidneys, transplanted in 223 recipients. We applied logistic regression analysis to investigate the association between initial (at hospital admission), nadir (lowest), zenith (highest) and terminal (at recovery) donor eGFR with primary non-function (PNF), delayed graft function (DGF), 3- and 12-months graft function and 1- and 3-years patient- and death censored graft survival.

RESULTS: In the multivariate analysis, admission, terminal, and lowest donor eGFR could most accurately predict DGF. The respective ORs [95% CI] were: 0.875 [0.771-0.993], 0.818 [95% CI: 0.726-0.922] and 0.793 [0.689-0.900]. Although not being significant for DGF (OR 0.931 [95% CI: 0.817-1.106]), the highest eGFR was the best predictor of 3-month graft function (adjusted b coefficient 1.161 [95% CI: 0.355-1.968]). Analysis of primary nonfunction showed that determination of initial and highest eGFR proved to be the best predictors. The respective ORs [95% CI] were: 0.804 [0.667-0.968] and 0.750 [0.611-0.919]. There were no differences in the risk associations of each of the four eGFR recordings with patient- and graft survival.

CONCLUSION: The various eGFR recordings determined during the procurement process of marginal donors can predict PNF, DGF and 3- and 12-months graft function. Regarding short term patient- and graft survival, there appears to be impacted by recipient factors rather than donor kidney function. This article is protected by copyright. All rights reserved.

PMID:36043436 | DOI:10.1111/nep.14108

Database (Oxford). 2022 Aug 31;2022:baac069. doi: 10.1093/database/baac069.

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has been severely impacting global society since December 2019. The related findings such as vaccine and drug development have been reported in biomedical literature-at a rate of about 10 000 articles on COVID-19 per month. Such rapid growth significantly challenges manual curation and interpretation. For instance, LitCovid is a literature database of COVID-19-related articles in PubMed, which has accumulated more than 200 000 articles with millions of accesses each month by users worldwide. One primary curation task is to assign up to eight topics (e.g. Diagnosis and Treatment) to the articles in LitCovid. The annotated topics have been widely used for navigating the COVID literature, rapidly locating articles of interest and other downstream studies. However, annotating the topics has been the bottleneck of manual curation. Despite the continuing advances in biomedical text-mining methods, few have been dedicated to topic annotations in COVID-19 literature. To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature. The BioCreative LitCovid dataset-consisting of over 30 000 articles with manually reviewed topics-was created for training and testing. It is one of the largest multi-label classification datasets in biomedical scientific literature. Nineteen teams worldwide participated and made 80 submissions in total. Most teams used hybrid systems based on transformers. The highest performing submissions achieved 0.8875, 0.9181 and 0.9394 for macro-F1-score, micro-F1-score and instance-based F1-score, respectively. Notably, these scores are substantially higher (e.g. 12%, higher for macro F1-score) than the corresponding scores of the state-of-art multi-label classification method. The level of participation and results demonstrate a successful track and help close the gap between dataset curation and method development. The dataset is publicly available via https://ftp.ncbi.nlm.nih.gov/pub/lu/LitCovid/biocreative/ for benchmarking and further development. Database URL https://ftp.ncbi.nlm.nih.gov/pub/lu/LitCovid/biocreative/.

PMID:36043400 | DOI:10.1093/database/baac069

Am J Epidemiol. 2022 Aug 31:kwac155. doi: 10.1093/aje/kwac155. Online ahead of print.

ABSTRACT

The reporting and analysis of population-based cancer statistics in the United States has traditionally been done for counties. However, counties are not ideal for analysis of cancer rates due to wide variation in population size, with larger counties having considerable socio-demographic variation within their borders and sparsely populated counties having less reliable estimates of cancer rates that are often suppressed due to confidentiality concerns. There is a need and an opportunity to utilize zone design procedures in the context of cancer surveillance to generate coherent, statistically stable geographic units that are more optimal for cancer reporting and analysis than counties. To achieve this goal, we sought to create areas within each U.S. state that are: 1) similar in population size and large enough to minimize rate suppression; 2) socio-demographically homogeneous; 3) compact; and 4) custom crafted to represent areas that are meaningful to cancer registries and stakeholders. The resulting geographic units reveal the heterogeneity of rates that are hidden when reported at the county-level while substantially reducing the need to suppress data. This effort will facilitate more meaningful comparative analysis of cancer rates for small geographic areas and will advance the understanding of cancer burden in the United States.

PMID:36043397 | DOI:10.1093/aje/kwac155

Phytother Res. 2022 Aug 31. doi: 10.1002/ptr.7596. Online ahead of print.

ABSTRACT

The purpose of this meta-analysis is to explore whether the supplement of sea buckthorn affects the factors related to metabolic syndrome. The related RCTs from five databases were systematically searched and comprehensively random effects model was used to calculate SMD and 95% CI. The Cochrane deviation risk tool was used to evaluate the deviation risk. Fifteen studies were involved in the meta-analysis. First, sea buckthorn supplementation reduced triglycerides [-0.722 (-1.129, -0.316); p < .001], total cholesterol [-0.345 (-0.639, -0.051); p = .021], low density lipoprotein cholesterol [-0.396 (-0.755, -0.037); p = .031], and increased high density lipoprotein cholesterol [0.370 (0.056, 0.684); p = .021] in overall subjects. Second, subgroup analysis showed that sea buckthorn supplementation reduced lipids only in people with abnormal lipid metabolism. Third, sea buckthorn had no effect on blood sugar, blood pressure, and BMI of the overall subjects. Sea buckthorn may affect the lipid metabolism in circulation, but it cannot affect blood glucose, blood pressure, and BMI. These indicators are closely associated with metabolic syndrome. This study may contribute to the development and utilization of sea buckthorn, and may provide a new and safer way for the prevention and treatment of metabolic syndrome. The limitation of this study is high heterogeneity, even if subgroup analysis is used. However, more clinical studies are needed to determine the real effect of sea buckthorn on metabolic syndrome.

PMID:36043374 | DOI:10.1002/ptr.7596

Nurse Res. 2022 Aug 31. doi: 10.7748/nr.2022.e1848. Online ahead of print.

ABSTRACT

BACKGROUND: Using a structured process to develop a self-administered questionnaire provides a robust tool for collecting data that enhances the credibility of the results. Describing this process mitigates any complexity and confusion for the nurse researcher which can be generated by many sources of information that either lack detail or have complex statistical approaches.

AIM: To discuss the development of a self-administered questionnaire with a focus on face, content, construct validity and reliability testing.

DISCUSSION: Adopting a well-established, sequential, five-step approach ensures that important concepts of questionnaire development are addressed: assessing existing tools and qualitative data, if available; drafting of the questionnaire with consideration for question styles, comprehension, acquiescent bias and face validity; expert panel review to establish content validity and inter-rater reliability; pilot testing to assess construct validity; and exploratory factor analysis to establish reliability testing. This approach results in a robust and credible tool for collecting data.

CONCLUSION: This article provides nurse researchers with a structured process for developing self-administered questionnaires.

IMPLICATIONS FOR PRACTICE: Investing time and effort to assess a newly developed questionnaire for validity and reliability and consider question styles, comprehension and acquiescent bias results in an improved and strengthened tool for collecting data. This in turn enhances the quality and credibility of a study’s findings.

PMID:36043328 | DOI:10.7748/nr.2022.e1848

Singapore Med J. 2022 May;63(5):256-262. doi: 10.11622/smedj.2020140. Epub 2020 Sep 21.

ABSTRACT

INTRODUCTION: Septic arthritis (SA) is a devastating infection with a high rate of sequelae. The aim of this retrospective study was to determine the epidemiology, clinically significant sequelae and risk factors for developing these sequelae in children admitted to our hospital with SA.

METHODS: Patients with bacteriologically and/or radiologically confirmed SA from January 1999 to December 2014 were identified from discharge and laboratory records. Data was collected through a retrospective review of the case notes.

RESULTS: A total of 75 patients (62.7% male) met the inclusion criteria. The median age at presentation was six years (range two weeks to 15 years), and six patients were neonates. Microbiologic aetiology was determined in 40 (53.3%) patients, with Staphylococcus aureus being the most common organism. 68.0% of the patients underwent arthrotomy, and the average hospital stay was 15.3 days. Sequelae of SA were observed in nine patients on follow-up. Univariate and multivariate statistical analyses showed that young age, pyogenic bacterial isolation and concomitant osteomyelitis were significant risk factors for developing sequelae.

CONCLUSION: Our study demonstrated that young age, pyogenic bacterial isolation and concomitant osteomyelitis are associated with a high risk of sequelae. Timely microbiologic diagnosis by novel polymerase chain reaction methods and the use of magnetic resonance imaging in high-risk children to identify adjacent infection could possibly prevent lifelong disabling sequelae in SA.

PMID:36043293 | DOI:10.11622/smedj.2020140