Tool For Assessing Risk Of Bias Research Articles

Therapeutic Effect of Stem Cells from Different Sources on Diabetic Foot Ulcers: Systematic Review and Network Meta-Analysis.

To evaluate the efficacy of stem cell therapy from different sources on the ankle-brachial index, wound closure percentage, and wound closure time in the treatment of diabetic foot ulcers (DFUs). A literature search was conducted in PubMed, Embase, Cochrane Library's Central Register of Controlled Trials, and Web of Science, extending through June 29, 2023. Quality evaluation was done using the Cochrane's bias risk assessment tool (RoB 2.0). Employing a Bayesian approach, the statistical computations was executed with the JAGS software, leveraging the gemtc 0.8-2 and rjags 4-10 libraries, within the R environment 4.1.2. The included interventions came from peripheral blood, bone marrow, placenta, umbilical cord blood, adipose tissue, or others. A preliminary search identified 2286 articles, of which 23 randomized controlled trials met the inclusion criteria and were ultimately included. The analysis findings indicated that mesenchymal stem cells derived from the umbilical cord (HUCMSCs) led to a notable enhanced the ankle-brachial index in patients with DFUs compared to standard treatment (MD: 0.2; 95% CI [0.01, 0.36]). HUCMSCs were found to be the optimal therapeutic approach for enhancing the ankle-brachial index (SUCRA = 82.7%). Research on the wound closure percentage revealed that compared to platelet-rich plasma (PRP), processed microvascular tissue (PMVT), peripheral blood stem cells (PBSCs), microfragmented adipose tissue (MFAT), autologous bone marrow-derived stem cell therapy (ABMSCT), adipose-derived stem cells (ASCs), and dehydrated human umbilical cord allograft (EpiCord), Huoxue Shengji Decoction (HXSJD) + ABMSCT (H_Group_hematopoietic) significantly increased the wound closure percentage in DFU patients (P < 0.05). According to the SUCRA ranking, HXSJD + ABMSCT was the best therapeutic method to increase the percentage of wound closure (SUCRA = 93.8%). This study employed a network meta-analysis method, combining direct and indirect comparisons, to analyze the latest clinical data and concluded that umbilical cord mesenchymal stem cells and the combination of HXSJD + autologous bone marrow hematopoietic stem cell treatment as adjunctive therapies for DFUs may have beneficial effects. Future research needs to focus on this.

Does HPV vaccination during periconceptional or gestational period increase the risk of adverse pregnancy outcomes?-An updated systematic review and meta-analysis based on timing of vaccination.

The human papillomavirus (HPV) vaccine is crucial in preventing cervical cancer, and a significant number of women in 135 countries worldwide may have unknowingly received the vaccine during peri-pregnancy or pregnancy due to a lack of regular pregnancy testing. Previous studies on the safety of pregnancy outcomes with vaccination before and after pregnancy have not reached definitive conclusions. Thus, we subdivided the vaccination time frame and conducted an updated study to further examine whether exposure to the HPV vaccine during pregnancy or the periconceptional period increases the likelihood of adverse pregnancy outcomes. The clinical trials and cohort studies published before August 1, 2023, were retrieved from PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials. The Newcastle-Ottawa Scale and Cochrane risk of bias assessment tool were adopted to evaluate the risk of bias in the included studies. In addition, the quality assessment was carried out using the Review Manager 5.4 Software, and a meta-analysis was conducted using the Stata 16 Software. Eleven studies were located. The results showed that receiving 4vHPV during the periconceptional or gestational period had no relationship with an increased risk of spontaneous abortion, stillbirth, preterm birth, birth defects, small for gestational age, and ectopic pregnancy. Neither receiving 2vHPV nor 9vHPV was associated with a higher risk of stillbirth, preterm birth, birth defects, small for gestational age, and ectopic pregnancy; however, receiving 2vHPV during the period from 45 days before last menstrual period (LMP) to LMP and 9vHPV during the period from 90 days before LMP to 45 days after LMP seemed to be related to an increased risk of spontaneous abortion (RR = 1.59, 95% CI: 1.04-2.45, RR = 2.04, 95% CI: 1.28-3.24). In conclusion, the likelihood of an elevated risk of spontaneous abortion caused by HPV vaccination during the periconceptional or gestational period could not be completely ruled out. Given the lack of evidence, further research is needed to examine the effect of HPV vaccination on spontaneous abortion.

Artificial intelligence and machine learning applications in urinary tract infections identification and prediction: a systematic review and meta-analysis.

Urinary tract infections (UTIs) have been one of the most common bacterial infections in clinical practice worldwide. Artificial intelligence (AI) and machine learning (ML) based algorithms have been increasingly applied in UTI case identification and prediction. However, the overall performance of AI/ML algorithms in identifying and predicting UTI has not been evaluated. The purpose of this paper is to quantitatively evaluate the application value of AI/ML in identifying and predicting UTI cases. MEDLINE, EMBASE, Web of Science, and PubMed databases were systematically searched for articles published up to December 31, 2023. Quality Assessment of Diagnostic Accuracy Studies tool (QUADAS-2) and Prediction Model Risk of Bias Assessment Tool (PROBAST) were used to assess the risk of bias. Study characteristics and detailed algorithm information were extracted. Pooled sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were synthesized using a bivariate mix-effects model. Meta-regression and subgroup analysis were conducted to test the source of heterogeneity. In total, 11 studies with 14 AI/ML models were included in the final meta-analysis. The overall pooled AUC was 0.89 (95%CI 0.86-0.92). Additionally, the pooled Sen, Spe, PLR, NLR, and DOR were 0.78 (95%CI 0.71-0.84), 0.89 (95%CI 0.83-0.93), 6.99 (95%CI 4.38-11.14), 0.25 (95%CI 0.18-0.34) and 28.07 (95%CI 14.27-55.20), respectively. The results of meta-regression suggested that reference standard definitions might be the source of heterogeneity. AI/ML algorithms appear to be promising to help clinicians detect and identify patients at high risk of UTIs. However, further studies are demanded to evaluate the application value of AI/ML more thoroughly.

Diagnostic accuracy of digital breast tomosynthesis and digital mammography in women with dense or non-dense breast tissue: A systematic review and meta-analysis.

Despite its excellent screening effectiveness and sensitivity for breast cancer (BC), digital breast tomosynthesis (DBT) is controversial due to its high radiation exposure and long reading time. This study examines the diagnostic accuracy of DBT and digital mammography (DM) for BC screening and diagnosis in women with dense or non-dense breast tissue. PRISMA-compliant searches were performed on Medline, Embase, PubMed, Web of Science, and the Cochrane databases for articles comparing DBT and DM for BC screening until March 2023. Meta-analysis was performed using RevMan sofware, and the Cochrane Risk of Bias Assessment Tool was employed to assess study quality. This meta-analysis included 11 trials with a total of 2,124,018 individuals. Screening with DBT resulted in a greater cancer detection rate, as demonstrated by a risk ratio (RR) of 1.27 (95% confidence interval (95% CI): 1.14-1.41). Digital breast tomosynthesis also had a reduced recall rate, with a RR of 0.88 (95% CI: 0.78-0.99), higher sensitivity and specificity values (pooled sensitivity of 0.91 (95% CI: 0.59-0.99)) and pooled specificity of 0.90 (95% CI: 0.42-1.0)) than DM (pooled sensitivity of 0.86 (95% CI: 0.52-1.0) and pooled specificity of 0.81 (95% CI: 0.12-1.0)). All acquired data exhibited reliability, lack of bias and statistical significance (p < 0.05). Digital breast tomosynthesis is a more effective screening and diagnostic assessment tool for women with dense or non-dense breasts than DM in terms of incremental cancer detection, sensitivity and recall rate.

The Efficacy of Curcumin Application to Melanoma in Mice: A Systematic Review and Meta-analysis.

Melanoma is a skin tumor that poses a serious threat to human health. Our study explores the effectiveness and safety of curcumin in the treatment of melanoma based on animal models, and providing evidence-based medical evidence for curcumin in the treatment of malignant melanoma. The study collected all randomized controlled trial data from the establishment of the database to October 2023 of curcumin for the treatment of melanoma in mice by searching PubMed, Embase, and the Cochrane Library. According to inclusion and exclusion criteria, data were extracted and quality assessment of included studies was performed by using the SYRCLE (Systematic Review Center for Laboratory animal Experimentation) animal experiment bias risk assessment tool. RevMan 5.4 and Stata 15.1 software were used for meta-analysis. Eighteen randomized controlled trials were included in this study with a total of 185 mouse models, including 93 mice in the experimental group and 92 in the control group. The results of meta-analysis showed that the IC50 (inhibitory concentrations of 50%) in the experimental group is lower than that of the control group [standardized mean difference (SMD) = -4.68, 95% confidence interval (CI) (-7.30, -2.06), P < 0.01]; the tumor volume is significantly smaller than the control group [SMD = -3.10, 95% CI (-4.45, -1.75), P < 0.01]; the tumor weight is smaller than the control group [SMD = -3.01, 95% CI (-4.81, -1.21), P < 0.01]. However, there was no significant statistical difference in the apoptosis rate between the experimental group and the control group [SMD = 2.27, 95% CI (-1.39, 5.92), P < 0.01]. Based on animal models for meta-analysis, curcumin can inhibit the growth and proliferation of melanoma in mice. Melanoma may be an effective method for treating melanoma. However, this result still requires further in-depth research.

The Effect of Polymyxin B-Immobilized Fiber Column Hemoperfusion for Sepsis: A Systemic Review and Meta-Analysis

Purpose: The objective of this study was to evaluate the effect of Polymyxin B hemoperfusion (PMX-HP) on patients with sepsis.Methods: A systematic review and meta-analysis was performed using relevant articles retrieved from 3 databases (PubMed, Cochrane Library, EMBASE). Randomized studies from 1 January 1999 to 28 February 2022 were examined to determine the clinical results of PMX-HP. A meta-analysis was carried out using the random-effects method, meta-regression with clinical variables, and assessment of risk of bias (ROB) tool (Cochrane ROB assessment tool). Mortality was evaluated within 60 days of hospitalization (in-hospital death 28-day, 30-day, and 60-day mortality) and predictors associated with mortality were determined using meta-regression.Results: There were 11 randomized studies with 548 patients included in the meta-analysis. The pooled mortality was 35% (95% CI, 27%-42%, 95% CI 0.53-0.96). Further subgroup analysis was performed according to the duration of PMX-HP. An extension of PMX-HP treatment beyond 2 hours (pooled mortality, 43%; 95% CI, 9%-76%) compared with a 2-hour session (pooled mortality, 33%. 95% CI, 27%-38%) showed an increase in mortality rates. However, this was not statistically significant. Univariate meta-regression showed that patient’s age, the acute physiology and chronic health evaluation score, and the sequential organ failure assessment score did not significantly impact mortality.Conclusion: While PMX-HP is valuable in the management of septic shock, treatment duration should be based on careful assessment of the patient's condition, the risks and benefits of prolonged therapy, and the overall treatment strategy including antimicrobial management and source control.

An Exploration of Unique Mental Health Challenges and Resilience Factors within the LGBTQ+ Community: A Systematic Review

Mental health challenges in the LGBTQ+ community pressing issues as it impact the overall health status. Despite the concerns raised on the discrimination, bias and stereotypes, new challenges arise, implicating challenges to the health sector. The present review of evidence focuses on the resilience factors and the unique mental health challenges faced by members of the LGBTQ+ community. The Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) were used to identify, select, appraise and synthesize evidence in the present review, whereas the Sample, phenomenon of Interest, Design, Evaluation and Research type (SPIDER) protocol guided the selection of eligible studies to be reviewed. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to rate the certainty of evidence about the unique mental health challenges and resilience factors within the lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQ+) community. Initial article search was limited to English publications and performed on electronic databases, including Google Scholar, ProQuest, PubMed, and Web of Science. The Cochrane risk of bias assessment tool was used to examine the risk of bias in the individual studies. Risk of bias assessment was performed on the domains, including due to the randomization process, bias due to deviations from intended interventions, bias due to missing outcome data, bias in the measurement of the outcomes, bias in the selection of the reported result, and the overall risk of bias, reflecting the overall risk of bias of the included studies. A qualitative synthesis of results was considered in the present systematic review. The evidence was contrasted and compared against the existing knowledge and theoretical orientation. The present review found that poor dissemination of interventions and implementations are unique mental health challenges among the LGBTQ+ community. The poor implementation and dissemination of interventions substantiate psychological distress, anxiety, depression, and suicidal thoughts and deteriorates quality of life. The web or internet-based implementation of cognitive behavioral therapy emerged as effective resilience factor in the management of mental conditions among members of the LGBTQ+ community. Keywords: LGBTQ+, mental health, treatment, cognitive behavioral therapy, resilience factors, anxiety, depression, and interventions

Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review.

This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data. A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. The methodological characteristics and performance metrics of studies that developed and validated ML models were assessed. The risk of bias was evaluated using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Out of 5,560 unique records, 34 articles were included. For survival outcome, the ML model outperformed the Cox proportional hazards model in time-to-event analyses for HNC, with a concordance index of 0.70-0.79 vs. 0.66-0.76, and for all sub-sites including oral cavity (0.73-0.89 vs. 0.69-0.77) and larynx (0.71-0.85 vs. 0.57-0.74). In binary classification analysis, the area under the receiver operating characteristics (AUROC) of ML models ranged from 0.75-0.97, with an F1-score of 0.65-0.89 for HNC; AUROC of 0.61-0.91 and F1-score of 0.58-0.86 for the oral cavity; and AUROC of 0.76-0.97 and F1-score of 0.63-0.92 for the larynx. Disease-specific survival outcomes showed higher performance than overall survival outcomes, but the performance of ML models did not differ between three- and five-year follow-up durations. For disease progression outcomes, no time-to-event metrics were reported for ML models. For binary classification of the oral cavity, the only evaluated subsite, the AUROC ranged from 0.67 to 0.97, with F1-scores between 0.53 and 0.89. ML models have demonstrated considerable potential in predicting post-treatment survival and disease progression, consistently outperforming traditional linear models and their derived nomograms. Future research should incorporate more comprehensive treatment features, emphasize disease progression outcomes, and establish model generalizability through external validations and the use of multicenter datasets.

Safety of first-line systemic therapy in patients with metastatic colorectal cancer: a network meta-analysis of randomized controlled trials

ObjectiveTo evaluate the safety of first-line systemic therapy for metastatic colorectal cancer through network meta-analysis.MethodsThe literature from PubMed, Embase, Web of Science, and Cochrane Library databases was searched from the inception of the databases to August 15, 2023, and strict inclusion and exclusion criteria were applied to screen studies. The Cochrane Bias Risk Assessment Tool (RoB 2.0) was used to evaluate the quality of the included literature. Network meta-analysis was conducted using Stata 15.0 and R4.3.1 software to compare the incidence of adverse events (AEs) among different treatment regimens.ResultsA total of 53 randomized controlled trials, involving 17,351 patients with metastatic colorectal cancer (mCRC), were ultimately included, encompassing 29 different therapeutic approaches. According to SUCRA rankings, the CAPOX regimen is most likely to rank first in terms of safety, while the FOLFOXIRI + panitumumab regimen is most likely to rank last. In terms of specific AEs, the CAPOX regimen, whether used alone or in combination with targeted drugs (bevacizumab and cetuximab), is associated with a reduced risk of neutropenia and febrile neutropenia, as well as an increased risk of thrombocytopenia and diarrhea. The FOLFOX regimen, with or without bevacizumab, is linked to an increased risk of neutropenia and peripheral sensory neuropathy. The FOLFIRI/CAPIRI + bevacizumab regimen is associated with a reduced risk of peripheral sensory neuropathy. S-1 and S-1 + oxaliplatin are well-tolerated in terms of gastrointestinal reactions. The FOLFOXIRI regimen, whether used alone or in combination with targeted drugs, is associated with various AEs.ConclusionIn summary, the CAPOX regimen may be the safest option among the first-line systemic treatment regimens for mCRC patients, while the FOLFOXIRI + panitumumab regimen may be associated with a higher incidence of grade 3 or higher AEs.

Prevalence and progression rate of interstitial lung abnormalities detected on thoracic CT: a systematic review and meta-analysis.

To estimate the pooled prevalence and progression rate of ILAs and identify the risk factors for radiological progression. An EMBASE and PubMed search was undertaken, identifying all studies meeting the inclusion criteria performed before May 10, 2023. Random effect models were used to estimate pooled prevalence, ILA progression rates, and odds ratio for radiological progression based on radiological subtype. Subgroup analyses were performed to compare the general and high-risk populations for lung cancer. The quality of the included studies was evaluated using the risk of bias assessment tool for non-randomized studies. We analyzed 19 studies (241,541 patients) and 10 studies (1317 patients) for the pooled prevalence and progression rate of ILA, respectively. The pooled ILA prevalence was 9.7% (95% CI, 6.1-13.9%). The pooled prevalence was 6.8% (95% CI, 3.1-11.6%) and 7.1% (95% CI, 2.2-14.4%) in the general (six studies) and high-risk population for lung cancer (six studies), respectively. The pooled progression rate was 47.1% (95% CI, 29.1-65.5%). The pooled progression rate was 64.2% (95% CI, 45.0-81.2%, five studies) and 31.0% (95% CI, 8.2-60.5%, five studies) for longer (≥ 4.5 years) and shorter follow-up periods (< 4.5 years), respectively (p = 0.009). Fibrotic ILAs were significantly associated with a higher progression probability (combined OR, 5.55; 95% CI, 1.95-15.82). The prevalence of ILAs was approximately 9.7%. Approximately half of the patients exhibited radiological progression, with the rate increasing over a longer follow-up period. Fibrotic ILA was a significant risk factor for radiological progression. The prevalence of interstitial lung abnormalities (ILAs) is approximately 9.7%, with about half exhibiting progression; a longer follow-up duration and fibrotic ILAs are associated with a higher progression rate. ILAs are increasingly recognized as important, but few population data are available. ILAs exhibited a pooled prevalence of 9.7% with a progression rate of 47.1%. Fibrotic ILAs were associated with increased progression likelihood.

Effects of blood flow restriction training on physical fitness among athletes: a systematic review and meta-analysis

Blood flow restriction training (BFRT) is an effective, scientific and safe training method, but its effect on the overall quality of athletes remains unclear. The aim of this systematic review with meta-analysis was to clarify the effects of BFRT on the physical fitness among athletes. Based on the PRISMA guidelines, searches were performed in PubMed, Web of Science, SPORTDiscus, and SCOUPS, the Cochrane bias risk assessment tool was used to assess methodological quality, and RevMan 5.4 and STATA 15.0 software were used to analyze the data. A meta-analysis of 28 studies with a total sample size of 542 athletes aged 14–26 years and assessed as low risk for quality was performed. Our results revealed that the BFRT intervention had small to large improvements in the athletes' strength (ES = 0.74–1.03), power (ES = 0.46), speed (ES = 0.54), endurance (ES = 1.39–1.40), body composition (ES = 0.28–1.23), while there was no significant effect on body mass (p > 0.05). Subgroup analyses revealed that moderator variables (training duration, frequency, load, cuff pressure, and pressurization time) also had varying degrees of effect on athletes' physical fitness parameters. In conclusion, BFRT had a positive effect on the physical fitness parameters of the athletes, with significantly improved strength, power, speed, endurance and body composition, but not body mass parameters. When the training frequency ≥ 3 times/week, cuff pressure ≥ 160 mmHg, and pressurization time ≥ 10 min, the BFRT group was more favorable for the improvement of physical fitness parameters.

Performance of risk prediction models for diabetic foot ulcer: a meta-analysis.

The number of prediction models for diabetic foot ulcer (DFU) risk is increasing, but their methodological quality and clinical applicability are uncertain. We conducted a systematic review to assess their performance. We searched PubMed, Cochrane Library, and Embase databases up to 10 February 2024 and extracted relevant information from selected prediction models. The Prediction model Risk Of Bias ASsessment Tool (PROBAST) checklist was used to assess bias risk and applicability. All statistical analyses were conducted in Stata 14.0. Initially, 13,562 studies were retrieved, leading to the inclusion of five development and five validation models from eight studies. DFU incidence ranged from 6% to 16.8%, with age and hemoglobin A1C (HbA1c) commonly used as predictive factors. All included studies had a high risk of bias, mainly due to disparities in population characteristics and methodology. In the meta-analysis, we observed area under the curve (AUC) values of 0.78 (95% CI [0.69-0.89]) for development models and 0.84 (95% CI [0.79-0.90]) for validation models. DFU risk prediction models show good overall accuracy, but there is a risk of bias. Adherence to the PROBAST checklist is crucial for improving their clinical applicability.

A systematic review on artificial intelligence evaluating PSMA PET scan for intraprostatic cancer.

To assess artificial intelligence (AI) ability to evaluate intraprostatic prostate cancer (PCa) on prostate-specific membrane antigen positron emission tomography (PSMA PET) scans prior to active treatment (radiotherapy or prostatectomy). This systematic review was registered on the International Prospective Register of Systematic Reviews (PROSPERO identifier: CRD42023438706). A search was performed on Medline, Embase, Web of Science, and Engineering Village with the following terms: 'artificial intelligence', 'prostate cancer', and 'PSMA PET'. All articles published up to February 2024 were considered. Studies were included if patients underwent PSMA PET scan to evaluate intraprostatic lesions prior to active treatment. The two authors independently evaluated titles, abstracts, and full text. The Prediction model Risk Of Bias Assessment Tool (PROBAST) was used. Our search yield 948 articles, of which 14 were eligible for inclusion. Eight studies met the primary endpoint of differentiating high-grade PCa. Differentiating between International Society of Urological Pathology (ISUP) Grade Group (GG) ≥3 PCa had an accuracy between 0.671 to 0.992, sensitivity of 0.91, specificity of 0.35. Differentiating ISUP GG ≥4 PCa had an accuracy between 0.83 and 0.88, sensitivity was 0.89, specificity was 0.87. AI could identify non-PSMA-avid lesions with an accuracy of 0.87, specificity of 0.85, and specificity of 0.89. Three studies demonstrated ability of AI to detect extraprostatic extensions with an area under curve between 0.70 and 0.77. Lastly, AI can automate segmentation of intraprostatic lesion and measurement of gross tumour volume. Although the current state of AI differentiating high-grade PCa is promising, it remains experimental and not ready for routine clinical application. Benefits of using AI to assess intraprostatic lesions on PSMA PET scans include: local staging, identifying otherwise radiologically occult lesions, standardisation and expedite reporting of PSMA PET scans. Larger, prospective, multicentre studies are needed.

Prevalence and Species Distribution of Neonatal Candidiasis: A Systematic Review and Meta-Analysis.

Candida infection is a significant cause of morbidity and mortality in neonatal intensive care units (NICU) globally. We aimed to conduct a systematic review to investigate the prevalence of candida among causative organisms of neonatal sepsis and identify the distribution of candida species infecting Saudi neonates. We comprehensively searched Web of Science, Scopus, PubMed, and Cochrane Library from their inception till November 2023. After screening titles, abstracts, and full texts, we ultimately included 21 eligible studies. The designs of the included studies were randomized clinical trials, cohorts, case-control, and case reports; the methodological quality was appraised using the Cochrane risk of bias assessment tool, NIH tool for observational studies, and Murad tool for assessing case reports. Our systematic review and meta-analysis pooled data reported in 21 studies in the Saudi populations, which provided data on different types of candidal infections in 2346 neonates. The pooled data of ten retrospective studies enrolling 1823 neonates revealed that candida species resembled 4.2% of the causative organisms of neonatal sepsis among Saudi neonates (95%CI [2.5%; 5.9%], p = 0.000). Additionally, out of a total of 402 candida species that were identified among the included studies, C. albicans prevailed mostly among Saudi neonates, followed by C. parapsilosis, NS candida, and C. tropicalis (50.25%, 21.40%, 12.44%, and 9.45%, respectively). We found that candida species prevailed in 4.2% of 1823 cases of neonatal sepsis; the most common candida species was C. albicans. We could not pool data regarding risk factors or susceptibility of candida species to different treatment modalities due to insufficient data, requiring future large-scale, high-quality studies to be conducted.

Combined traditional Chinese medicine therapy for the treatment of infertility with polycystic ovary syndrome: A network meta-analysis of randomized controlled trials.

Polycystic ovary syndrome (PCOS) infertility has attracted great attention from researchers due to its high incidence. Numerous studies have shown that Chinese medicine is effective in treating this disease, but there is a wide variety of Chinese medicine therapies available, and there is a lack of comparative evaluation of the efficacy of various Chinese medicine combination therapies in the clinic, which requires further in-depth exploration. This study aims to evaluate the efficacy of a combined traditional Chinese medicine (TCM) therapy for the treatment of infertility with PCOS using network meta-analysis (NMA). In PubMed, web of Science, Cochrane Library, Embase, China Knowledge Network, Wanfang Data, VIP Database, China Biomedical Literature Database (SinoMed) databases, searchs were conducted for information about the randomized controlled trials (RCTs) of combined TCM therapy for the treatment of infertility with PCOS. Quality evaluation was performed using the Cochrane 5.3 risk of bias assessment tool, and NMA using Stata 16.0. This study comprised 28 RCTs using 8 combined TCM therapies in total. The results of the NMA showed that moxibustion + herbal, fire acupuncture + herbal, acupuncture + herbal, electroacupuncture + herbal, and acupoint application + herbal improved the clinical pregnancy rate better than acupuncture, herbal, and western medicines monotherapy (P < .05). Additionally, ear point pressure + herbal enema + herbal, acupuncture and moxibustion + herbal, fire acupuncture + herbal, and acupuncture + herbal improved the ovulation rate better than acupuncture, herbal, and western medicines monotherapy (P < .05). Moxibustion + herbal, fire acupuncture + herbal, and acupuncture + herbal are the 3 most effective therapies for improving the clinical pregnancy rate. Fire acupuncture + herbal, acupuncture + herbal, and ear point pressure + herbal enema + herbal are the 3 most effective therapies for improving the ovulation rate. The combined TCM therapy demonstrated better efficacy for the treatment of infertility with PCOS compared to acupuncture, herbal, and western medicines monotherapy. However, the optimal treatment therapy varied depending on the outcome indicators. Further large sample, high-quality, and standardized RCTs are needed to verify these findings.

Prediction models for skin tears in the elderly: A systematic review and meta-analysis

BackgroundThe prevalence of risk prediction models for skin tears in the elderly is growing; however, there is still debate regarding the usefulness and suitability of these models for clinical use and additional study. ObjectiveThe purpose of this work is to perform a systematic review and meta-analysis of published research on skin tear risk prediction models in the elderly. MethodsWe conducted a comprehensive search of various databases, including Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, PubMed, Web of Science, MEDLINE, Scopus, The Cochrane Library, Wanfang Database, China Science and Technology Journal Database (VIP), and China National Knowledge Infrastructure (CNKI), from the beginning until November 27, 2023. Data extraction from the chosen studies encompassed various elements, such as study design, sample size, outcome definition, data source, predictors, model development, and performance. The assessment of bias and applicability was conducted using the Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist. The Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) checklist was utilized to assess the transparency in reporting the prediction models—a meta-analysis of the most common predictors to assess predictor reliability. In addition, a narrative synthesis was carried out to provide an overview of the qualities, bias risk, and effectiveness of the current models. The reporting procedures of this meta-analysis conformed to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) statement. ResultsOut of the initially retrieved 1499 studies, this review included eight prediction models from eight selected studies. All the studies employed logistic regression to develop prediction models for skin tears. The prevalence of skin tears in the elderly varied from 3.0% to 33.3%. Senile purpura and a history of previous skin tears were the most commonly utilized predictors. The reported values for the area under the curve (AUC) ranged from 0.765 to 0.854. All the studies exhibited a high risk of bias, primarily due to inadequate reporting in the outcome and analysis domains. Furthermore, serious questions concerning their applicability were highlighted by four studies. ConclusionBased on the PROBAST checklist, the current models for predicting skin tears in the elderly showed a high risk of bias. The development of new prediction models with bigger sample sizes, appropriate study designs, and external validation from multiple sources ought to be the primary focus of future research. Patient or public contributionThere was no patient or public contribution to this systematic review. RegistrationPROSPERO registration number: CRD42023494387.

The State of the Art of Artificial Intelligence Applications in Eosinophilic Esophagitis: A Systematic Review

Introduction: Artificial intelligence (AI) tools are increasingly being integrated into computer-aided diagnosis systems that can be applied to improve the recognition and clinical and molecular characterization of allergic diseases, including eosinophilic esophagitis (EoE). This review aims to systematically evaluate current applications of AI, machine learning (ML), and deep learning (DL) methods in EoE characterization and management. Methods: We conducted a systematic review using a registered protocol published in the International Prospective Register of Systematic Reviews (CRD42023451048). The risk of bias and applicability of eligible studies were assessed according to the prediction model study risk of bias assessment tool (PROBAST). We searched PubMed, Embase, and Web of Science to retrieve the articles. The literature review was performed in May 2023. We included original research articles (retrospective or prospective studies) published in English in peer-reviewed journals, studies whose participants were patients with EoE, and studies assessing the application of AI, ML, or DL models. Results: A total of 120 articles were found. After removing 68 duplicates, 52 articles were reviewed based on the title and abstract, and 34 were excluded. Eleven full texts were assessed for eligibility, met the inclusion criteria, and were analyzed for the systematic review. The AI models developed in three studies for identifying EoE based on endoscopic images showed high score performance with an accuracy that ranged from 0.92 to 0.97. Five studies developed AI models that histologically identified EoE with high accuracy (87% to 99%). We also found two studies where the AI model identified subgroups of patients according to their clinical and molecular features. Conclusions: AI technologies could promote more accurate evidence-based management of EoE by integrating the results of molecular signature, clinical, histology, and endoscopic features. However, the era of AI application in medicine is just beginning; therefore, further studies with model validation in the real-world environment are required.

Acromioplasty combined with arthroscopic rotator cuff repair can reduce the risk of reoperation: a systematic review and meta-analysis

ABSTRACT Background Whether to perform acromioplasty in arthroscopic rotator cuff repair (ARCR) is controversial, and the optimal surgical approach for rotator cuff tear repair is unknown. The purpose of this study was to compare the reoperation rate, retear rate and patient-reported outcomes (PROs) of ARCR with those of ARCR combined with acromioplasty (ARCR-A). Methods PubMed, Embase and Cochrane Library were searched for relevant literature dated between database inception and 4 December 2023. The primary outcomes of this study were the reoperation rate and the retear rate. The secondary outcomes were PROs, including the visual analogue scale (VAS) pain score, the American Shoulder and Elbow Surgeons (ASES) score, the University of California-Los Angeles (UCLA) score, the Constant score and the Western Ontario Rotator Cuff (WORC) score. The quality of the included studies was evaluated by using the risk of bias assessment tool. RevMan 5.3 software was used for meta-analysis. Fixed (I2 <50%) or random (I2 ≥50%) effects models were applied to calculate the effect size. Results Meta-analysis revealed that ARCR-A had a lower reoperation rate (OR = 0.35, 95%CI: 0.15-0.85, p = 0.02), but the difference in the retear rate between ARCR-A and ARCR was not significant (p = 0.25). In type 2 acromion patients, the reoperation rate was not significantly different between ARCR and ARCR-A (p = 0.12), but, for type 3 acromion patients, the retear rate was lower for ARCR-A than for ARCR (OR = 0.12, 95%CI: 0.01-0.94, p = 0.04). There were statistically significant differences in the 6-month postoperative Constant scores (p < 0.001), VAS pain scores (p = 0.003) 12-month postoperative ASES scores (p = 0.02) and 24-month postoperative WORC scores (p = 0.04), but these differences were not clinically significant. Conclusions Combining ARCR with acromioplasty can reduce the rate of reoperation, especially in patients with type 3 acromion, but it provides no clinically important change in the retear rate and postoperative PRO compared with ARCR.

Effects of Intrathecal Versus General Anesthesia on Postoperative Cognitive Function in Elderly Hip Fracture Patients: a System Review and Meta Analysis Protocol

Randomized controlled studies have shown that the incidence of postoperative cognitive function in elderly patients undergoing hip fracture surgery varies significantly by anesthesia type. The aim of this study was to assess the effects of intrathecal anesthesia and general anesthesia on postoperative cognitive function in elderly hip fracture by system review and meta-analysis. This study followed the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-analyses. First, the Cochrane Library, Web of Science, PubMed, EMBASE, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Database, and Clinical Trials Database were searched. Second, the literature was screened and identified for inclusion step by step according to the established inclusion and exclusion criteria using Endnote. Further, Excel 2010 was used to record the basic characteristics and relevant data of the included literature, and the Cochrane Risk of Bias Assessment Tool was used to rate the quality of each included study. Subsequently, meta-analysis was performed using RevMan 5.3 software to assess the effects of intrathecal anesthesia and general anesthesia on postoperative cognitive function of hip fracture in the elderly, and funnel plots were drawn to assess publication bias. The results of this systematic evaluation and meta-analysis will be published in a peer-reviewed journal.

Efficacy and safety of BaitouWeng decoction for ulcerative colitis: A meta-analysis of randomized and controlled trials.

To systematically evaluate the therapeutic effect of BaitouWeng Decoction in patients with ulcerative colitis (UC), evaluate its safety and effectiveness, and provide a reference for clinical medication. The research literature on the treatment of UC with BaitouWeng Decoction was searched in databases such as China National Knowledge Infrastructure, Wanfang Data, VIP database for Chinese Technical Periodicals, Chinese BioMedical Literature Database, and PubMed. The literature was screened by setting inclusion and exclusion criteria, strictly following the inclusion and exclusion criteria, and following the search strategy for literature screening, data extraction, and methodological quality evaluation. According to the Cochrane System Evaluation Manual, methodological quality evaluation was conducted on the included studies using the bias risk assessment tool for randomized controlled trials. For meta-analysis, Review Manager software was used. A total of 24 articles were included, including 2131 patients. Meta-analysis showed that compared with conventional Western medicine, BaitouWeng Decoction can significantly improve the effective rate (odds ratio = 5.10, 95% confidence interval [CI] [3.74-6.96], P < .00001), reduce the traditional Chinese medicine syndrome score (mean difference [MD] = -4.23, 95% CI [-5.17--3.30], P < .00001), Baron endoscopic score (MD = -0.68, 95% CI [-0.78--0.58], P < .00001), and intestinal lesion activity score (MD = -2.29, 95% CI [-1.15--1.03], P < .00001); improve serum factors and reduce serum tumor necrosis factor α levels (MD = -16.84, 95% CI [-19.92--13.76], P < .00001), serum interleukin-8 levels (MD = -10.41, 95% CI [-10.87--9.95], P < .00001), and increased serum interleukin-10 levels (MD = 4.96, 95% CI [2.76-7.16], P < .00001). BaitouWeng Decoction has good efficacy and safety in treating UC. BaitouWeng Decoction improved the symptoms of colitis injury and inhibited inflammatory response. However, more rigorously designed randomized controlled trials with blinding, concealment, and placebo controls should be conducted on Baitouweng decoction to generate higher quality evidence and longer-term studies on sustained benefits are needed.