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World Journal of Emergency Surgery :... Mar 2024Operative treatment of traumatic rib fractures for better outcomes remains under debate. Surgical stabilization of rib fractures has dramatically increased in the last... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Operative treatment of traumatic rib fractures for better outcomes remains under debate. Surgical stabilization of rib fractures has dramatically increased in the last decade. This study aimed to perform a systematic review and meta-analysis of randomised controlled trials (RCTs) to assess the effectiveness and safety of operative treatment compared to conservative treatment in adult patients with traumatic multiple rib fractures.
METHODS
A systematic literature review was performed according to the preferred reporting items for systematic reviews and meta-analyses guidelines. We searched MEDLINE, Scopus, and Cochrane Central Register of Controlled Trials and used the Cochrane Risk-of-Bias 2 tool to evaluate methodological quality. Relative risks with 95% confidence interval (CI) were calculated for outcomes: all-cause mortality, pneumonia incidence, and number of mechanical ventilation days. Overall certainty of evidence was evaluated with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, with trial sequential analysis performed to establish implications for further research.
RESULTS
From 719 records, we included nine RCTs, which recruited 862 patients. Patients were assigned to the operative group (received surgical stabilization of chest wall injury, n = 423) or control group (n = 439). All-cause mortality was not significantly different (RR = 0.53; 95% CI 0.21 to 1.38, P = 0.35, I = 11%) between the two groups. However, in the operative group, duration of mechanical ventilation (mean difference -4.62; 95% CI -7.64 to -1.60, P < 0.00001, I = 94%) and length of intensive care unit stay (mean difference -3.05; 95% CI -5.87 to -0.22; P < 0.00001, I = 96%) were significantly shorter, and pneumonia incidence (RR = 0.57; 95% CI 0.35 to 0.92; P = 0.02, I = 57%) was significantly lower. Trial sequential analysis for mortality indicated insufficient sample size for a definitive judgment. GRADE showed this meta-analysis to have very low to low confidence.
CONCLUSION
Meta-analysis of large-scale trials showed that surgical stabilization of multiple rib fractures shortened the duration of mechanical ventilation and reduced the incidence of pneumonia but lacked clear evidence for improvement of mortality compared to conservative treatment. Trial sequential analysis suggested the need for more cases, and GRADE highlighted low certainty, emphasizing the necessity for further targeted RCTs, especially in mechanically ventilated patients.
SYSTEMATIC REVIEW REGISTRATION
UMIN Clinical Trials Registry UMIN000049365.
Topics: Adult; Humans; Rib Fractures; Length of Stay; Thoracic Injuries; Pneumonia; Respiration, Artificial; Randomized Controlled Trials as Topic
PubMed: 38504282
DOI: 10.1186/s13017-024-00540-z -
Metabolism Open Mar 2024Complementary use of medicinal plants with prescribed drugs is becoming more widespread concern among people with chronic disease like cancer, HIV/AIDS, diabetes and...
BACKGROUND
Complementary use of medicinal plants with prescribed drugs is becoming more widespread concern among people with chronic disease like cancer, HIV/AIDS, diabetes and hypertension. Consequently, the purpose of this review was to determine the prevalence and associated factors of herbal medicine use among patients suffering from chronic disease.
METHODS
This systematic review and meta-analysis was conducted by searching articles from Cochrane library, Google scholar, PubMed and African journal online. Data was extracted using Microsoft excel format and imported in to Stata software version 11 (Stata Corp LLC, TX, USA) for analysis. Statistical heterogeneity across the studies was investigated using Cochran's Q chi-square test at the significance level of <0.05 and the I index. A random-effects model was used to estimate the pooled prevalence of herbal medicine use.
RESULTS
Our systematic search yielded a total of 17,665 records from four databases (Google scholar (12,800), PubMed (3835), Cochrane library (30) and African journal online (12). The pooled estimate of herbal medicine use among patients with chronic disease in Ethiopia is found to be 56.94% (95% CI: 49.75, 64.12, P < 0.001). Being female (POR = 2.06, 95% CI = 1.55, 2.75, I = 10.0%), rural residence (POR = 2.80, 95% CI = 1.42, 5.52, I = 89.1%), duration of the disease greater than 5 years (POR = 6.42, 95% CI = 4.188, 9.84, I = 48.3%) and having complication (POR = 4.65, 95% CI = 3.75, 5.77, I = 0.0%) were factors associated with herbal medicine use among patients living with chronic disease.
CONCLUSION
The study found a high prevalence of herbal medicine use among patients living with chronic disease. Being female, rural residence, duration of disease greater than 5 years and having complication were factors that are significantly associated with herbal medicine use. The prevalence of herbal medicine use among persons with chronic disease in Ethiopia presents significant implications for healthcare practice. Healthcare professionals need to adopt a patient-centered strategy that promotes open, judgment-free discussions about herbal medicine usage.
PROSPERO REGISTRATION
CRD42024498817.
PubMed: 38455230
DOI: 10.1016/j.metop.2024.100280 -
Heliyon Jan 2024This study aimed at determining the effects of technology adoption on farmers' well-being. Specifically, we analysed and extended the current understanding of the topic... (Review)
Review
This study aimed at determining the effects of technology adoption on farmers' well-being. Specifically, we analysed and extended the current understanding of the topic by focusing on the concepts of technology adoption and well-being. The data were sourced from 30 papers that were selected based on specific criteria from the WoS and Scopus databases. They were acquired through a systematic search and quality appraisal process. The adopted technology can be grouped into sustainable agricultural practices and innovations, digital agriculture and information technology, precision farming and resource management, financial inclusion and agricultural transactions, remote sensing and satellite technology, and agricultural programs and initiatives. Most papers indicated that technology adoption improved farmers' well-being which was basically measured using productivity and income. The measure however lacked farmers' value judgments, such as happiness. Agricultural technology could have a mixed effect on farmers' well-being, depending on the type of technology adopted and the compatibility of farmers with technology in their agricultural practices. This study will assist researchers in developing an appropriate framework and strategy to improve farmers' welfare, which can alleviate poverty. These may further help policymakers identify the best technological innovations that can improve farmers' economic and social welfare, thereby facilitating the development of plans to meet farmers' needs and interests. Finally, the study suggested future research directions for researchers and academics.
PubMed: 38312653
DOI: 10.1016/j.heliyon.2024.e24316 -
Journal of Otolaryngology - Head & Neck... 2024Adenotonsillectomy is one of the most common surgical procedures worldwide. The current standard for securing the airway in patients undergoing adenotonsillectomy is... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Adenotonsillectomy is one of the most common surgical procedures worldwide. The current standard for securing the airway in patients undergoing adenotonsillectomy is endotracheal tube (ETT) intubation. Several studies have investigated the use of the laryngeal mask airway (LMA) in this procedure. We conducted a systematic review and meta-analysis to compare the safety and efficacy of the LMA versus ETT in adenotonsillectomy.
METHOD
Databases were searched from inception to 2022 for randomized controlled trials and comparative studies. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The primary outcome is the rate of perioperative respiratory adverse events (PRAEs). Secondary outcomes included the rate of conversion to ETT, desaturations, nausea/vomiting, and surgical time. A subgroup analysis, risk of bias, publication bias, and Grading of Recommendations Assessment, Development, and Evaluation (GRADE) assessments were also performed.
RESULTS
Twelve studies were included in the analysis (4176 patients). The mean overall conversion to ETT was 8.36% [95% confidence interval (CI) = 8.17, 8.54], and for the pediatric group 8.27% (95% CI = 8.08, 8.47). The mean rate of conversion to ETT secondary to complications was 2.89% (95% CI = 2.76, 3.03) while the rest was from poor surgical access. Overall, there was no significant difference in PRAEs [odds ratio (OR) 1.16, 95% CI = 0.60, 2.22], desaturations (OR 0.79, 95% CI = 0.38, 1.64), or minor complications (OR 0.89, 95% CI = 0.50, 1.55). The use of LMA yielded significantly shorter operative time (mean difference -4.38 minutes, 95% CI = -8.28, -0.49) and emergence time (mean difference -4.15 minutes, 95% CI = -5.63, -2.67).
CONCLUSION
For adenotonsillectomy surgery, LMA is a safe alternative to ETT and requires less operative time. Careful patient selection and judgment of the surgeon and anesthesiologist are necessary, especially given the 8% conversion to ETT rate.
Topics: Humans; Tonsillectomy; Adenoidectomy; Laryngeal Masks; Intubation, Intratracheal; Postoperative Complications
PubMed: 38899617
DOI: 10.1177/19160216241263851 -
Frontiers in Neurology 2024Cerebral palsy (CP) refers to a group of permanent movement and posture disorders. Motor imagery (MI) therapy is known to provide potential benefits, but data on MI...
BACKGROUND
Cerebral palsy (CP) refers to a group of permanent movement and posture disorders. Motor imagery (MI) therapy is known to provide potential benefits, but data on MI ability in children and adolescents with CP is lacking.
OBJECTIVE
A systematic review was performed to explore MI abilities in children and adolescents with CP compared to typically developed (TD) subjects.
METHODS
We searched on PubMed, Web of Science (WOS), EBSCO, Google Scholar, and PEDro including observational studies. Methodological quality was assessed with the modified Newcastle-Ottawa Scale and evidence map was created to synthesize the evidence qualitatively and quantitatively.
RESULTS
Seven cross-sectional studies were selected, which included 174 patients with CP and 321 TD subjects. Three studies explored explicit MI, two MI-execution synchrony, and four implicit MI domains. Methodological quality ranged from 6 to 8 stars. Moderate evidence supported the absence of differences in vividness between the groups. As there was only limited evidence, establishing a clear direction for the results was not possible, especially for the capacity to generate MI, mental chronometry features, and MI-execution synchrony domains. Moderate evidence supported a lower efficiency in cases for hand recognition, derived from a lower accuracy rate, while reaction time remained similar between the two groups. Moderate evidence indicated that patients with CP and TD controls showed similar features on whole-body recognition.
CONCLUSION
Moderate evidence suggests that patients with CP present a reduced ability in hand recognition, which is not observed for whole-body recognition compared to healthy controls. Severe limitations concerning sample size calculations and validity of assessment tools clearly limits establishing a direction of results, especially for explicit MI and MI-Execution synchrony domains. Further research is needed to address these limitations to enhance our comprehension of MI abilities in children, which is crucial for prescribing suitable MI-based therapies in this child population.
PubMed: 38379703
DOI: 10.3389/fneur.2024.1325548 -
Healthcare (Basel, Switzerland) Jul 2023Conscientious objection (CO) in the context of health care arises when a health care professional (HCP) refuses to participate in a certain procedure because it is not... (Review)
Review
BACKGROUND
Conscientious objection (CO) in the context of health care arises when a health care professional (HCP) refuses to participate in a certain procedure because it is not compatible with their ethical or moral principles. Refusal to treat in health care includes, in addition to CO, other factors that may lead the HCP not to want to participate in a certain procedure. Therefore, we can say that CO is a form of refusal of treatment based on conscience. Hastened death has become an increasingly reality around the world, being a procedure in which not all HCPs are willing to participate. There are several factors that can condition the HCPs' refusal to treat in this scenario.
METHODS
With the aim of identifying these factors, we performed a systematic review, following the PRISMA guidelines. On 1 October 2022, we searched for relevant articles on Pubmed, Web of Science and Scopus databases.
RESULTS
From an initial search of 693 articles, 12 were included in the final analysis. Several motivations that condition refusal to treat were identified, including legal, technical, social, and CO. Three main motivations for CO were also identified, namely religious, moral/secular, and emotional/psychological motivations.
CONCLUSIONS
We must adopt an understanding approach respecting the position of each HCP, avoiding judgmental and discriminatory positions, although we must ensure also that patients have access to care. The identification of these motivations may permit solutions that, while protecting the HCPS' position, may also mitigate potential problems concerning patients' access to this type of procedure.
PubMed: 37570368
DOI: 10.3390/healthcare11152127 -
Npj Mental Health Research Mar 2024Mindfulness-based interventions (MBIs) have demonstrated therapeutic efficacy for various psychological conditions, and smartphone apps that facilitate mindfulness... (Review)
Review
Mindfulness-based interventions (MBIs) have demonstrated therapeutic efficacy for various psychological conditions, and smartphone apps that facilitate mindfulness practice can enhance the reach and impact of MBIs. The goal of this review was to summarize the published evidence on the impact of mindfulness apps on the psychological processes known to mediate transdiagnostic symptom reduction after mindfulness practice. A literature search from January 1, 1993, to August 7, 2023 was conducted on three databases, and 28 randomized controlled trials involving 5963 adults were included. Across these 28 studies, 67 outcome comparisons were made between a mindfulness app group and a control group. Between-group effects tended to favor the mindfulness app group over the control group in three psychological process domains: repetitive negative thinking, attention regulation, and decentering/defusion. Findings were mixed in other domains (i.e., awareness, nonreactivity, non-judgment, positive affect, and acceptance). The range of populations examined, methodological concerns across studies, and problems with sustained app engagement likely contributed to mixed findings. However, effect sizes tended to be moderate to large when effects were found, and gains tended to persist at follow-up assessments two to six months later. More research is needed to better understand the impact of these apps on psychological processes of change. Clinicians interested in integrating apps into care should consider app-related factors beyond evidence of a clinical foundation and use app databases to identify suitable apps for their patients, as highlighted at the end of this review.
PubMed: 38609511
DOI: 10.1038/s44184-023-00048-5 -
The Journal of Prosthetic Dentistry Mar 2024A defective socket is common after tooth extraction in the esthetic zone, but whether an implant can be immediately placed in a defective socket is unclear. (Review)
Review
STATEMENT OF PROBLEM
A defective socket is common after tooth extraction in the esthetic zone, but whether an implant can be immediately placed in a defective socket is unclear.
PURPOSE
The purpose of this systematic review and meta-analysis was to summarize relevant studies within the last 20 years on implant survival and changes in soft and hard tissues after immediate implant placement in esthetic areas with socket defects.
MATERIAL AND METHODS
A search was conducted for the relevant studies in the PubMed/Medline, the Cochrane Library, Web of Science, and Embase databases from January 2000 to March 2022. The literature review, data retrieval, and judgment whether the included studies had a risk of bias were handled independently by 2 reviewers, and a single-arm meta-analysis was performed using a statistical software program.
RESULTS
A total of 23 studies evaluating the immediate implant placement of 630 implants (9 studies without a flap and 14 studies with a flap) were included. A 98.1% implant survival rate (95% confidence interval (CI): 96.2%, 100.0%) was determined. Marginal bone loss (MBL) at 6, 12, and ≥24 months were 1.03 mm (95%CI: 1.02, 1.03), 0.72 mm (0.72, 0.73), and 1.15 mm (1.14, 1.16). Gingival recession at 12 months was 0.25 mm (95%CI: 0.17, 0.33). The pink esthetic score (PES) were 12.34 (95%CI: 12.16, 12.52) at 12 months and 12.58 (12.39, 12.76) at ≥24 months.
CONCLUSIONS
Current evidence shows that immediate implant placement into defective sockets in esthetic areas is feasible. Immediate implant placement can have a relatively good therapeutic effect in terms of implant survival rate, MBL, gingival recession, and PES.
PubMed: 38493065
DOI: 10.1016/j.prosdent.2024.02.022 -
Frontiers in Oncology 2023Endoscopic ultrasonography (EUS) is commonly utilized in the diagnosis of pancreatic tumors, although as this modality relies primarily on the practitioner's visual...
BACKGROUND AND AIMS
Endoscopic ultrasonography (EUS) is commonly utilized in the diagnosis of pancreatic tumors, although as this modality relies primarily on the practitioner's visual judgment, it is prone to result in a missed diagnosis or misdiagnosis due to inexperience, fatigue, or distraction. Deep learning (DL) techniques, which can be used to automatically extract detailed imaging features from images, have been increasingly beneficial in the field of medical image-based assisted diagnosis. The present systematic review included a meta-analysis aimed at evaluating the accuracy of DL-assisted EUS for the diagnosis of pancreatic tumors diagnosis.
METHODS
We performed a comprehensive search for all studies relevant to EUS and DL in the following four databases, from their inception through February 2023: PubMed, Embase, Web of Science, and the Cochrane Library. Target studies were strictly screened based on specific inclusion and exclusion criteria, after which we performed a meta-analysis using Stata 16.0 to assess the diagnostic ability of DL and compare it with that of EUS practitioners. Any sources of heterogeneity were explored using subgroup and meta-regression analyses.
RESULTS
A total of 10 studies, involving 3,529 patients and 34,773 training images, were included in the present meta-analysis. The pooled sensitivity was 93% (95% confidence interval [CI], 87-96%), the pooled specificity was 95% (95% CI, 89-98%), and the area under the summary receiver operating characteristic curve (AUC) was 0.98 (95% CI, 0.96-0.99).
CONCLUSION
DL-assisted EUS has a high accuracy and clinical applicability for diagnosing pancreatic tumors.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023391853, identifier CRD42023391853.
PubMed: 37576885
DOI: 10.3389/fonc.2023.1191008 -
The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.Journal of Medical Internet Research Jan 2024Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the... (Review)
Review
BACKGROUND
Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intelligence studies in medicine.
OBJECTIVE
We aimed to systematically review the reporting quality of machine learning (ML) studies of pediatric DM using the Minimum Information About Clinical Artificial Intelligence Modelling (MI-CLAIM) checklist, a general reporting guideline for medical artificial intelligence studies.
METHODS
We searched the PubMed and Web of Science databases from 2016 to 2020. Studies were included if the use of ML was reported in children with DM aged 2 to 18 years, including studies on complications, screening studies, and in silico samples. In studies following the ML workflow of training, validation, and testing of results, reporting quality was assessed via MI-CLAIM by consensus judgments of independent reviewer pairs. Positive answers to the 17 binary items regarding sufficient reporting were qualitatively summarized and counted as a proxy measure of reporting quality. The synthesis of results included testing the association of reporting quality with publication and data type, participants (human or in silico), research goals, level of code sharing, and the scientific field of publication (medical or engineering), as well as with expert judgments of clinical impact and reproducibility.
RESULTS
After screening 1043 records, 28 studies were included. The sample size of the training cohort ranged from 5 to 561. Six studies featured only in silico patients. The reporting quality was low, with great variation among the 21 studies assessed using MI-CLAIM. The number of items with sufficient reporting ranged from 4 to 12 (mean 7.43, SD 2.62). The items on research questions and data characterization were reported adequately most often, whereas items on patient characteristics and model examination were reported adequately least often. The representativeness of the training and test cohorts to real-world settings and the adequacy of model performance evaluation were the most difficult to judge. Reporting quality improved over time (r=0.50; P=.02); it was higher than average in prognostic biomarker and risk factor studies (P=.04) and lower in noninvasive hypoglycemia detection studies (P=.006), higher in studies published in medical versus engineering journals (P=.004), and higher in studies sharing any code of the ML pipeline versus not sharing (P=.003). The association between expert judgments and MI-CLAIM ratings was not significant.
CONCLUSIONS
The reporting quality of ML studies in the pediatric population with DM was generally low. Important details for clinicians, such as patient characteristics; comparison with the state-of-the-art solution; and model examination for valid, unbiased, and robust results, were often the weak points of reporting. To assess their clinical utility, the reporting standards of ML studies must evolve, and algorithms for this challenging population must become more transparent and replicable.
Topics: Humans; Child; Artificial Intelligence; Reproducibility of Results; Machine Learning; Diabetes Mellitus; Checklist
PubMed: 38241075
DOI: 10.2196/47430