-
Surgical Oncology Dec 2022To provide for Coronavirus Disease 2019 (COVID-19) healthcare capacity, (surgical oncology) guidelines were established, forcing to alter the timing of performing... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
To provide for Coronavirus Disease 2019 (COVID-19) healthcare capacity, (surgical oncology) guidelines were established, forcing to alter the timing of performing surgical procedures. It is essential to determine whether these guidelines have led to disease progression. This study aims to give an insight into the number of surgical oncology procedures performed during the pandemic and provide information on short-term clinical outcomes.
MATERIALS AND METHODS
A systematic literature search was performed on all COVID-19 articles including operated patients, published before March 21, 2022. Meta-analysis was performed to visualize the number of performed surgical oncology procedures during the pandemic compared to the pre-pandemic period. Random effects models were used for evaluating short-term clinical outcomes.
RESULTS
Twenty-four studies containing 6762 patients who underwent a surgical oncology procedure during the pandemic were included. The number of performed surgical procedures for an oncological pathology decreased (-26.4%) during the pandemic. The number of performed surgical procedures for breast cancer remained stable (+0.3%). Moreover, no difference was identified in the number of ≥T2 (OR 1.00, P = 0.989), ≥T3 (OR 0.95, P = 0.778), ≥N1 (OR 1.01, P = 0.964) and major postoperative complications (OR 1.55, P = 0.134) during the pandemic.
CONCLUSION
The number of performed surgical oncology procedures during the COVID-19 pandemic decreased. In addition, the number of performed surgical breast cancer procedures remained stable. Oncological staging and major postoperative complications showed no significant difference compared to pre-pandemic practice. During future pandemics, the performed surgical oncology practice during the first wave of the COVID-19 pandemic seems appropriate for short-term results.
Topics: Humans; Female; COVID-19; Pandemics; SARS-CoV-2; Surgical Oncology; Postoperative Complications; Breast Neoplasms
PubMed: 36242979
DOI: 10.1016/j.suronc.2022.101859 -
Journal of Neurosurgery Dec 2023The relationship between patient and meningioma characteristics and hormone receptors (HRs) of progesterone, estrogen, and androgen remains poorly defined despite... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
The relationship between patient and meningioma characteristics and hormone receptors (HRs) of progesterone, estrogen, and androgen remains poorly defined despite literature suggesting that meningiomas are sensitive to gonadal steroid hormones. Therefore, the authors sought to collect and compare data on this topic by performing a systematic review and meta-analysis of reported studies of HR status in meningiomas.
METHODS
A MEDLINE PubMed literature review conducted for articles published between January 1, 1951, and December 31, 2020, resulted in 634 unduplicated articles concerning meningiomas and HRs. There were 114 articles that met the criteria of detailed detection protocols for progesterone receptor (PR), estrogen receptor (ER), and/or androgen receptor (AR) using immunohistochemistry (IHC) or ligand-binding (LB) assays and simultaneous reporting of HR status with at least one variable among age, sex, histology, location, grade, or recurrence. Between-study heterogeneity and risk of bias were evaluated using graphical and statistical methods. The authors performed a multilevel meta-analysis using random-effects modeling on aggregated data (n = 4447) and individual participant data (n = 1363) with subgroup results summarized as pooled effects. A mixed-effects meta-regression using individual participant data was performed to analyze independently associated variables.
RESULTS
The 114 selected articles included data for 5810 patients with 6092 tumors analyzed to determine the expression of three HRs in human meningiomas: PRs, ARs, and ERs. The proportions of HR+ meningiomas were estimated to be 0.76 (95% CI 0.72-0.80) for PR+ and 0.50 (95% CI 0.33-0.66) for AR+ meningiomas. ER+ meningioma detection varied depending on the measurement method used and was 0.06 (95% CI 0.03-0.10) with IHC and 0.11 (95% CI 0.06-0.20) with LB assays. There were associations between age and PR and ER expression that varied between male and female patients. PR+ and AR+ were more common in female patients (OR 1.84, 95% CI 1.47-2.29 for PR and OR 4.16, 95% CI 1.62-10.68 for AR). Additionally, PR+ meningiomas were enriched in skull base locations (OR 1.89, 95% CI 1.03-3.48) and meningothelial histology (OR 1.86, 95% CI 1.23-2.81). A meta-regression showed that PR+ was independently associated with age (OR 1.11 95% CI 1.09-1.13; p < 0.0001) and WHO grade I tumors (OR 8.09, 95% CI 3.55-18.44; p < 0.0001). ER+ was negatively associated with meningothelial histology (OR 0.94, 95% CI 0.86-0.98; p = 0.044) and positively associated with convexity location (OR 1.12, 95% CI 1.05-1.18; p = 0.0003).
CONCLUSIONS
The association between HRs and meningioma features has been investigated but unexplained for decades. In this study the authors demonstrated that HR status has a strong association with known meningioma features, including WHO grade, age, female sex, histology, and anatomical location. Identifying these independent associations allows for a better understanding of meningioma heterogeneity and provides a foundation for revisiting targeted hormonal therapy in meningioma on the basis of proper patient stratification according to HR status.
Topics: Humans; Male; Female; Meningioma; Meningeal Neoplasms; Immunohistochemistry; Skull Base; Receptors, Estrogen; Gonadal Steroid Hormones
PubMed: 37243565
DOI: 10.3171/2023.3.JNS221838 -
Equine Veterinary Journal Jan 2024The sarcoid is the most common equine cutaneous neoplasm. Evidence-based treatment of this condition is often lacking, and selection of treatment modality based on... (Review)
Review
BACKGROUND
The sarcoid is the most common equine cutaneous neoplasm. Evidence-based treatment of this condition is often lacking, and selection of treatment modality based on clinical experience or anecdotal evidence.
OBJECTIVES
To assess the quality of the currently available best evidence regarding the treatment of the equine sarcoid.
STUDY DESIGN
Systematic review.
METHODS
In compliance with PRISMA guidelines, literature searches were performed in PUBMED, Web of Science, CAB Abstracts, EMBASE (Ovid) and Scopus in April 2021. Included papers were required to describe an interventional study examining sarcoid treatment strategy, of level 4 evidence or greater. The case definition required confirmation of at least some included lesions on histopathology, and a minimum of 6 months of follow-up was required on treated cases. Studies were assessed by two independent reviewers (KO, CD). Data extraction was performed manually, followed by risk of bias assessment. Methodological quality was assessed using the GRADE system.
RESULTS
In total, 10 studies were included in the review. Case definition was confirmed via histopathology in all included lesions in 60% of papers. Time to follow-up was variably reported. Overall risk of bias ranged from 'some concerns' to 'critical'. Reported sarcoid regression rate ranged from 28% to 100% on an individual sarcoid level, and 9%-100% on a whole horse level. Transient local inflammation was reported following most treatment strategies, with further adverse events reported infrequently.
MAIN LIMITATIONS
Review methodology excluded a large proportion of available literature regarding the equine sarcoid. Significant heterogeneity between included studies prevented quantitative synthesis and most included papers were at significant risk of bias, indirectness, and imprecision.
CONCLUSIONS
There is insufficient evidence currently available to recommend one sarcoid treatment over another. There is an urgent need for sufficiently powered, randomised, placebo-controlled trials in order to allow more definitive comparison of the efficacy of different treatment strategies.
Topics: Animals; Horses; Skin Neoplasms; Horse Diseases
PubMed: 36917551
DOI: 10.1111/evj.13935 -
Annals of Hepatology 2023Primary biliary cholangitis (PBC) is an autoimmune liver disease, with 60% of patients being asymptomatic at diagnosis and 30% progressing rapidly into liver fibrosis.... (Meta-Analysis)
Meta-Analysis
INTRODUCTION AND OBJECTIVES
Primary biliary cholangitis (PBC) is an autoimmune liver disease, with 60% of patients being asymptomatic at diagnosis and 30% progressing rapidly into liver fibrosis. Liver biopsy is standard for staging fibrosis, but performance of non-invasive methods such as transient elastography (TE) have not been evaluated. We conducted a meta-analysis of articles up to May 2022 to evaluate the performance of TE compared with liver biopsy in adult patients with PBC.
MATERIALS AND METHODS
Two reviewers performed the search and assessed which articles were included. The quality of each study was evaluated according to QUADAS-2 and NOS. Meta-analysis of sensitivity and specificity was conducted with a bivariate random-effects model. The protocol was registered in PROSPERO, ID CRD42020199915.
RESULTS
Four studies involving 377 patients were included. Only stages F3 and F4 were computed in the meta-analysis. TE had a pooled sensitivity of 68% and specificity of 92% for stage F3 and a pooled sensitivity of 90% and specificity of 94% for stage F4. The AUROC curves were 0.91 (95% Confidence Interval (CI) 0.88-0.93) and 0.97 (95% CI 0.96-0.98) for stages F3 and F4, respectively. The mean cut-off points of TE for stage F3 were 9.28 kPa (95% CI 4.98-13.57) and for stage F4 were 15.2 kPa (95% CI 7.02-23.37).
CONCLUSIONS
TE performance compared with liver biopsy in adult patients with PBC was excellent for staging liver fibrosis and was able to rule out cirrhosis in clinical practice.
Topics: Adult; Humans; Biopsy; Elasticity Imaging Techniques; Fibrosis; Liver; Liver Cirrhosis; Liver Cirrhosis, Biliary; ROC Curve
PubMed: 37088420
DOI: 10.1016/j.aohep.2023.101107 -
Journal of Clinical Virology : the... Jul 2023Human papillomavirus associated anogenital cancers are a significant global burden. The detection of biomarkers (circulating tumour DNA; ctDNA or circulating HPV DNA;... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Human papillomavirus associated anogenital cancers are a significant global burden. The detection of biomarkers (circulating tumour DNA; ctDNA or circulating HPV DNA; cHPV DNA) in blood referred to as "liquid biopsy" may support the early diagnosis and monitoring of affected individuals.
METHODS
A systematic review, including meta-analysis of studies available in the literature on the utilization of ctDNA and cHPV DNA as diagnostic, predictive, and monitoring biomarker tests of HPV associated anogenital cancers was performed following the criteria of PRISMA.
RESULTS
A total of 31 studies were eligible for systematic review; 20 used cHPV DNA in cervical cancers; 7 used ctDNA in cervical cancer; 5 used cHPV DNA in anal cancer; no eligible studies on vulva, vaginal or penile cancer were available. The meta-analysis identified low sensitivity (0.36) and high specificity (0.96) of cHPV DNA as diagnostic for cervical cancer. Comparatively, there was high sensitivity (0.95) and specificity (1.0) of cHPV DNA for the diagnosis of anal cancer. cHPV DNA and/or ctDNA in cervical cancer were prognostic markers associated with poor clinical outcomes. Additionally, in anal cancer the post treatment detection of cHPV DNA was informative in the prediction of treatment response or progression-free survival.
CONCLUSION
ctDNA and cHPV DNA are promising diagnostic and prognostic biomarkers for the detection of anogenital disease. Evolution and refinement of molecular tools is likely to improve performance further. Additionally the comparative absence of studies in the vulval, vaginal and penile context warrants further exploration and research.
Topics: Female; Humans; Uterine Cervical Neoplasms; Papillomavirus Infections; Human Papillomavirus Viruses; Anus Neoplasms; DNA
PubMed: 37163963
DOI: 10.1016/j.jcv.2023.105469 -
The British Journal of Oral &... Nov 2022Traditional surgical planning (TSP) and virtual surgical planning (VSP) have been used in bimaxillary osteotomy planning. The time is taken in the planning and operating... (Meta-Analysis)
Meta-Analysis Review
Traditional surgical planning (TSP) and virtual surgical planning (VSP) have been used in bimaxillary osteotomy planning. The time is taken in the planning and operating stages, and the working/doctor/total time of either approach are useful determinants of the efficiency of the operating method and quality of care. This systematic review and meta-analysis examined if VSP has a comparative advantage over TSP in the bimaxillary osteotomy. Cochrane Library, PubMed, EMBASE, and Google Scholar were used as databases to collect studies that met the outlined inclusion criteria based on PRISMA. Eight of 759 studies were considered to meet the eligibility criteria, and six fit for meta-analysis. The findings demonstrated significant VSP advantage over TSP in planning time (Z = 3.97 (p < 0.00001), WMD = -5.29 (CI -7.90 to -2.68)). While more time-efficient than TSP, the difference with VSP was not significant during surgery (Z = 0.44 (p = 0.66), WMD = -0.10 (CI -0.51 to 0.34)). The study used random effects due to the high I of the planning mean differences. The continued evolution of VSP and improved application knowledge will be important in reducing the time of planning and surgery, thus improving the outcomes of the complex bimaxillary osteotomy. The current evidence shows that VSP significantly performs better than TSP in reducing the bimaxillary osteotomy planning time, but the timing difference is not significant during surgery. Future analysis will benefit from using studies with standard research and reporting metrics and procedures, thus improving evidence-based clinical practice.
Topics: Humans; Orthognathic Surgery; Surgery, Computer-Assisted; Orthognathic Surgical Procedures
PubMed: 36030091
DOI: 10.1016/j.bjoms.2022.07.007 -
Journal of Translational Medicine Oct 2023Animal models are widely used to study pathological processes and drug (side) effects in a controlled environment. There is a wide variety of methods available for... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Animal models are widely used to study pathological processes and drug (side) effects in a controlled environment. There is a wide variety of methods available for establishing animal models depending on the research question. Commonly used methods in tumor research include xenografting cells (established/commercially available or primary patient-derived) or whole tumor pieces either orthotopically or heterotopically and the more recent genetically engineered models-each type with their own advantages and disadvantages. The current systematic review aimed to investigate the meningioma model types used, perform a meta-analysis on tumor take rate (TTR), and perform critical appraisal of the included studies. The study also aimed to assess reproducibility, reliability, means of validation and verification of models, alongside pros and cons and uses of the model types.
METHODS
We searched Medline, Embase, and Web of Science for all in vivo meningioma models. The primary outcome was tumor take rate. Meta-analysis was performed on tumor take rate followed by subgroup analyses on the number of cells and duration of incubation. The validity of the tumor models was assessed qualitatively. We performed critical appraisal of the methodological quality and quality of reporting for all included studies.
RESULTS
We included 114 unique records (78 using established cell line models (ECLM), 21 using primary patient-derived tumor models (PTM), 10 using genetically engineered models (GEM), and 11 using uncategorized models). TTRs for ECLM were 94% (95% CI 92-96) for orthotopic and 95% (93-96) for heterotopic. PTM showed lower TTRs [orthotopic 53% (33-72) and heterotopic 82% (73-89)] and finally GEM revealed a TTR of 34% (26-43).
CONCLUSION
This systematic review shows high consistent TTRs in established cell line models and varying TTRs in primary patient-derived models and genetically engineered models. However, we identified several issues regarding the quality of reporting and the methodological approach that reduce the validity, transparency, and reproducibility of studies and suggest a high risk of publication bias. Finally, each tumor model type has specific roles in research based on their advantages (and disadvantages).
SYSTEMATIC REVIEW REGISTRATION
PROSPERO-ID CRD42022308833.
Topics: Animals; Humans; Meningeal Neoplasms; Meningioma; Reproducibility of Results; Disease Models, Animal
PubMed: 37898750
DOI: 10.1186/s12967-023-04620-7 -
Cancers Sep 2023Clival chordomas are rare but aggressive skull base tumors that pose significant treatment challenges and portend dismal prognosis. The aim of this study was to...
Clival chordomas are rare but aggressive skull base tumors that pose significant treatment challenges and portend dismal prognosis. The aim of this study was to highlight the advantages and limitations of available treatments, to furnish prognostic indicators, and to shed light on novel therapeutic strategies. We conducted a retrospective study of clival chordomas that were surgically treated at our institution from 2003 to 2022; for comparison purposes, we provided a systematic review of published surgical series and, finally, we reviewed the most recent advancements in molecular research. A total of 42 patients underwent 85 surgeries; median follow-up was 15.8 years, overall survival rate was 49.9% at 10 years; meanwhile, progression-free survival was 26.6% at 10 years. A significantly improved survival was observed in younger patients (<50 years), in tumors with Ki67 ≤ 5% and when adjuvant radiotherapy was performed. To conclude, clival chordomas are aggressive tumors in which surgery and radiotherapy play a fundamental role while molecular targeted drugs still have an ancillary position. Recognizing risk factors for recurrence and performing a molecular characterization of more aggressive lesions may be the key to future effective treatment.
PubMed: 37760463
DOI: 10.3390/cancers15184493 -
Cancers May 2023(1) Background: The prognostic factors of microinvasive (≤1 mm) breast carcinoma are not completely clear. The aim of this study was to perform a systematic review and... (Review)
Review
(1) Background: The prognostic factors of microinvasive (≤1 mm) breast carcinoma are not completely clear. The aim of this study was to perform a systematic review and meta-analysis to clarify these factors. (2) Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was followed. Two databases were interrogated, PubMed and Embase, and papers in English were included to address this question. The selected studies were those that reported on female patients affected by microinvasive carcinoma, and on prognostic factors with a hazard ratio (HR) for disease-free survival (DFS) and overall survival (OS). (3) Results: In total, 618 records were identified. After removing duplicates (166), identification, and screening (336 by title and abstract alone, 116 by full text and eventual supplementary material), 5 papers were selected. Seven different meta-analyses were conducted in this study, all referring to DFS, analyzing the following prognostic factors: estrogen receptor, progesterone receptor, HER2 status, multifocality and grade of microinvasion, patient's age, and lymph node status. Only lymph node status was associated with prognosis and DFS (total number of cases: 1528; Z = 1.94; = 0.05). The other factors examined did not significantly affect prognosis ( > 0.05). (4) Conclusions: Positive lymph node status significantly worsens prognosis in patients with microinvasive breast carcinoma.
PubMed: 37296968
DOI: 10.3390/cancers15113007 -
Diagnostics (Basel, Switzerland) Aug 2023Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in Pathology thanks to the use of scanners to digitize slides which allow us to... (Review)
Review
Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on monitors and process them with AI algorithms. Many articles have focused on DL applied to prostate cancer (PCa). This systematic review explains the DL applications and their performances for PCa in digital pathology. Article research was performed using PubMed and Embase to collect relevant articles. A Risk of Bias (RoB) was assessed with an adaptation of the QUADAS-2 tool. Out of the 77 included studies, eight focused on pre-processing tasks such as quality assessment or staining normalization. Most articles ( = 53) focused on diagnosis tasks like cancer detection or Gleason grading. Fifteen articles focused on prediction tasks, such as recurrence prediction or genomic correlations. Best performances were reached for cancer detection with an Area Under the Curve (AUC) up to 0.99 with algorithms already available for routine diagnosis. A few biases outlined by the RoB analysis are often found in these articles, such as the lack of external validation. This review was registered on PROSPERO under CRD42023418661.
PubMed: 37627935
DOI: 10.3390/diagnostics13162676