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Cureus May 2024The Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data (SISAQOL) initiative was established in 2016 to assess the... (Review)
Review
The Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data (SISAQOL) initiative was established in 2016 to assess the quality and standardization of patient-reported outcomes (PRO) data analysis in randomized controlled trials (RCTs) on advanced breast cancer. The initiative identified deficiencies in PRO data reporting, including nonstandardized methods for handling missing data. This study evaluated the reporting of health-related quality of life (HRQOL) in Japanese cancer RCTs to provide insights into the state of PRO reporting in Japan. The study reviewed PubMed articles published from 2010 to 2018. Eligible studies included Japanese cancer RCTs with ≥50 adult patients (≥50% were Japanese) with solid tumors receiving anticancer treatments. The evaluation criteria included clarity of the HRQOL hypotheses, multiplicity testing, primary analysis methods, and reporting of clinically meaningful differences. Twenty-seven HRQOL trials were identified. Only 15% provided a clear HRQOL hypothesis, and 63% examined multiple HRQOL domains without adjusting for multiplicity. Model-based methods were the most common statistical methods for the primary HRQOL analysis. Only 22% of the trials explicitly reported clinically meaningful differences in HRQOL. Baseline assessments were reported in most trials, but only 26% reported comparisons between the treatment groups. HRQOL analysis was based on the intention-to-treat population in 19% of the trials, and 74% reported compliance at follow-up; however, 41% did not specify how missing values were handled. Although the rates of reporting clinical hypotheses and clinically meaningful differences were relatively low, the current state of HRQOL evaluation in the Japanese cancer RCT appears comparable to that of previous studies.
PubMed: 38910767
DOI: 10.7759/cureus.60804 -
Cureus May 2024Diagnosing endometrial carcinoma correctly is essential for appropriate treatment, as it is a major health risk. As machine learning (ML) and artificial intelligence... (Review)
Review
Diagnosing endometrial carcinoma correctly is essential for appropriate treatment, as it is a major health risk. As machine learning (ML) and artificial intelligence (AI) have grown in popularity, so has interest in their potential to improve cancer diagnosis accuracy. In the context of endometrial cancer, this study attempts to examine the efficacy as well as the accuracy of AI-assisted diagnostic approaches. Additionally, it aims to methodically evaluate the contribution of AI and ML techniques to the improvement of endometrial cancer diagnosis. Following PRISMA guidelines, we performed a thorough search of numerous databases, including Medline via Ovid, PubMed, Scopus, Web of Science, and Google Scholar. Ten years were searched, encompassing both basic and advanced research. Peer-reviewed papers and original research studies that explicitly looked at the application of AI/ML in endometrial cancer diagnosis were the main targets of the well-defined selection criteria. Using the Critical Appraisal Skills Programme (CASP) methodology, two independent researchers conducted a thorough screening process and quality assessment of included studies. The review found a notable inclination towards the effective use of AI in endometrial carcinoma diagnostics, namely in the identification and categorization of endometrial cancer. Artificial intelligence models, particularly Convolutional Neural Networks (CNNs) and deep learning algorithms have shown remarkable precision in detecting endometrial cancer. They frequently achieve or even exceed the diagnostic proficiency of human specialists. The use of artificial intelligence in medical diagnostics signifies revolutionary progress in the field of oncology. AI-assisted diagnostic tools have demonstrated the potential to improve the precision and effectiveness of cancer diagnosis, namely in cases of endometrial carcinoma. This innovation not only enhances the quality of patient care but also indicates a transition towards more individualized and efficient treatment approaches in the field of oncology. The advancement of AI technology is expected to play a crucial role in medical diagnostics, particularly in the field of cancer detection and treatment, perhaps leading to a significant transformation in the approach to these areas.
PubMed: 38910646
DOI: 10.7759/cureus.60973 -
Physica Medica : PM : An International... Jun 2024This study reviewed and meta-analyzed evidence on radiomics-based hybrid models for predicting radiation pneumonitis (RP). These models are crucial for improving...
PURPOSE
This study reviewed and meta-analyzed evidence on radiomics-based hybrid models for predicting radiation pneumonitis (RP). These models are crucial for improving thoracic radiotherapy plans and mitigating RP, a common complication of thoracic radiotherapy. We examined and compared the RP prediction models developed in these studies with the radiomics features employed in RP models.
METHODS
We systematically searched Google Scholar, Embase, PubMed, and MEDLINE for studies published up to April 19, 2024. Sixteen studies met the inclusion criteria. We compared the RP prediction models developed in these studies and the radiomics features employed.
RESULTS
Radiomics, as a single-factor evaluation, achieved an area under the receiver operating characteristic curve (AUROC) of 0.73, accuracy of 0.69, sensitivity of 0.64, and specificity of 0.74. Dosiomics achieved an AUROC of 0.70. Clinical and dosimetric factors showed lower performance, with AUROCs of 0.59 and 0.58. Combining clinical and radiomic factors yielded an AUROC of 0.78, while combining dosiomic and radiomics factors produced an AUROC of 0.81. Triple combinations, including clinical, dosimetric, and radiomics factors, achieved an AUROC of 0.81. The study identifies key radiomics features, such as the Gray Level Co-occurrence Matrix (GLCM) and Gray Level Size Zone Matrix (GLSZM), which enhance the predictive accuracy of RP models.
CONCLUSIONS
Radiomics-based hybrid models are highly effective in predicting RP. These models, combining traditional predictive factors with radiomic features, particularly GLCM and GLSZM, offer a clinically feasible approach for identifying patients at higher RP risk. This approach enhances clinical outcomes and improves patient quality of life.
PROTOCOL REGISTRATION
The protocol of this study was registered on PROSPERO (CRD42023426565).
PubMed: 38906047
DOI: 10.1016/j.ejmp.2024.103414 -
Cureus May 2024This study investigates disparities in chemotherapy treatment for unresectable non-small cell lung cancer (NSCLC) between urban and rural populations. Despite... (Review)
Review
This study investigates disparities in chemotherapy treatment for unresectable non-small cell lung cancer (NSCLC) between urban and rural populations. Despite advancements in NSCLC treatments enhancing survival, significant inequities persist, notably in rural areas where access to care is often limited, resulting in poorer outcomes. Through a systematic review and meta-analysis, we analyzed data from selected studies that compare chemotherapy access and usage between these populations from 2010 to 2024. Our findings indicate that rural patients are consistently less likely to receive advanced chemotherapy treatments than urban counterparts, with a pooled odds ratio of 0.91 (95% confidence interval (CI): 0.83-1.00), suggesting a marginal but noticeable disparity. This highlights a crucial gap in healthcare provision, underscoring the need for policy interventions and improved healthcare practices to ensure equitable treatment access. This research calls for further investigation into socioeconomic and cultural factors contributing to these disparities to inform targeted improvement strategies.
PubMed: 38899245
DOI: 10.7759/cureus.60635 -
Cancers May 2024For biliary tract cancer (BTC), the addition of immunotherapy (durvalumab or pembrolizumab) to gemcitabine and cisplatin (GemCis) significantly improved overall survival... (Review)
Review
BACKGROUND
For biliary tract cancer (BTC), the addition of immunotherapy (durvalumab or pembrolizumab) to gemcitabine and cisplatin (GemCis) significantly improved overall survival (OS) in phase 3 clinical trials (RCTs). However, the interpretation and magnitude of the treatment effect is challenging because OS Kaplan-Meier curves violate the proportional hazards (PH) assumption. Analysis using restricted mean survival time (RMST) allows quantification of the benefits in the absence of PH. This systematic review and meta-analysis aims to assess the benefit of immunotherapy-based regimens for OS at 24 months using RMST analysis.
METHODS
A systematic review was conducted using studies published up to 8 November 2023. Only phase 3 RCTs evaluating the use of anti-PD-1/PD-L1 combined with GemCis and reporting OS were included. KM curves for OS were digitized, and the data were reconstructed. A meta-analysis for OS by RMST at 24 months was performed.
RESULTS
A total of 1754 participants from the TOPAZ-1 and KEYNOTE-966 trials were included. In TOPAZ-1, RMSTs at 24 months were 13.52 (7.92) and 12.21 (7.22) months with GemCis plus durvalumab and GemCis alone, respectively. In KEYNOTE-966, RMSTs at 24 months were 13.60 (7.76) and 12.45 (7.73) months with GemCis plus pembrolizumab and GemCis alone, respectively. Immunotherapy-based regimens showed a mean OS difference at 24 months by an RMST of 1.21 months [(95% CI: 0.49-1.93), < 0.001, I = 0%].
CONCLUSIONS
Immunotherapy-based regimens improve OS in advanced BTC. Given this magnitude of benefit, it is essential to weigh up individual patient factors, preferences, and potential risks. RMST analysis provides valuable information to patients and physicians, facilitating decision-making in a value-based medical environment.
PubMed: 38893196
DOI: 10.3390/cancers16112077 -
Cancers May 2024(1) Background: Evidence suggested inconsistent results in anxiety and depression scores among female and male cancer patients. The present systematic review and... (Review)
Review
(1) Background: Evidence suggested inconsistent results in anxiety and depression scores among female and male cancer patients. The present systematic review and meta-analysis aimed to assess how anxiety and depression conditions among cancer patients vary according to sex. (2) Methods: This systematic review and meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). The protocol was registered in PROSPERO with id no. CRD42024512553. The search strategy involved combining keywords using Boolean operators, including "Anxiety", "Cancer", and "Depression", across several databases: Embase, PubMed, Scopus, and Web of Science. The outcomes were evaluated using the Hospital Anxiety and Depression Scale (HADS). (3) Results: Data were collected from five studies, enrolling a total of 6317 cancer patients, of whom 2961 were females and 3356 males. For each study, HADS-A and HADS-D scores were considered, also differentiating HADS scores according to cancer typology, and then three different meta-analyses were performed. Generally, females reported significantly higher levels of depression scores than males and, conversely, males reported significantly greater levels of anxiety than females. (4) Conclusions: Previous studies suggested higher rates of depression and anxiety conditions in females than in males, but the present data highlighted controversial findings, since males reported significantly higher levels of anxiety than females. In this scenario, the theoretical approach justified females being more open than males to expressing anxiety or depression conditions. It would be necessary for healthcare professionals to improve effective measures purposed at assessing and mitigating depressive symptoms in cases of advanced cancer, thereby improving their mental health, given the high rates of depression in advanced cancer patients, due to the difficulty level of performing their daily living activities, which deteriorate further over time.
PubMed: 38893089
DOI: 10.3390/cancers16111969 -
International Journal of Molecular... May 2024Porocarcinoma (PC) is a rare adnexal tumor, mainly found in the elderly. The tumor arises from the acrosyringium of eccrine sweat glands. The risk of lymph node and... (Review)
Review
Porocarcinoma (PC) is a rare adnexal tumor, mainly found in the elderly. The tumor arises from the acrosyringium of eccrine sweat glands. The risk of lymph node and distant metastasis is high. Differential diagnosis with squamous cell carcinoma is difficult, although NUT expression and YAP1 fusion products can be very useful for diagnosis. Currently, wide local excision is the main surgical treatment, although Mohs micrographic surgery is promising. To date, there is no consensus regarding the role of sentinel lymph node biopsy and consequential lymph node dissection. No guidelines exist for radiotherapy, which is mostly performed based on tumor characteristics and excision margins. Only a few studies report systemic treatment for advanced PC, although therapy with pembrolizumab and EGFR inhibitors show promise. In this review, we discuss epidemiology, clinical features, histopathological features, immunohistochemistry and fusion products, surgical management and survival outcomes according to stage, surgical management, radiotherapy and systemic therapy.
Topics: Humans; Eccrine Porocarcinoma; Immunohistochemistry; Sweat Gland Neoplasms; Biomarkers, Tumor; YAP-Signaling Proteins
PubMed: 38891945
DOI: 10.3390/ijms25115760 -
Frontiers in Immunology 2024Multiple investigations and scholarly articles have presented compelling evidence indicating that tertiary lymphoid structures (TLS) play a pivotal role in inhibiting... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Multiple investigations and scholarly articles have presented compelling evidence indicating that tertiary lymphoid structures (TLS) play a pivotal role in inhibiting and controlling the advancement of tumors. While there is an abundance of information highlighting the importance of TLS in different cancer types, their prognostic significance specifically in hepatocellular carcinoma (HCC) cancers remains unclear. Thus, this meta-analysis aimed to explore the prognostic relevance of TLS in HCC.
METHODS
We conducted a thorough search across four databases, namely Web of Science, PubMed, Embase, and the Cochrane Library, to identify pertinent studies. The search utilized the keywords "tertiary lymphoid structures" and "hepatocellular carcinoma." The primary outcomes of interest encompassed overall survival (OS), recurrence-free survival (RFS), early recurrence, and late recurrence. The statistical effect size for these measures was expressed in terms of hazard ratios (HR).
RESULTS
Six studies were incorporated into the analysis. Among them, four studies, encompassing 6 datasets and involving 1490 patients, and three studies, comprising 5 datasets and involving 656 patients, respectively, investigated the correlation between intratumoral and peritumoral TLSs and the prognosis in HCC patients. The meta-analysis revealed that the presence of intratumoral TLSs is linked to longer RFS and reduced early recurrence (HR, 0.60; 95% CI, 0.50-0.67; p <0.001 and HR, 0.49; 95% CI, 0.36-0.65; p <0.001, respectively). However, no significant association was observed with OS and late recurrence. Sensitivity analysis demonstrated the robustness of these findings, and heterogeneities were minimal. Additionally, the meta-analysis did not detect a relationship between peritumoral TLSs and OS or RFS in HCC patients.
CONCLUSION
The presence of intratumoral TLSs is correlated with better RFS and reduced early recurrence in HCC patients. Further investigation is warranted to elucidate the roles of peritumoral TLSs in the prognosis of HCC patients.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42023466793.
Topics: Carcinoma, Hepatocellular; Humans; Liver Neoplasms; Tertiary Lymphoid Structures; Prognosis; Neoplasm Recurrence, Local
PubMed: 38887293
DOI: 10.3389/fimmu.2024.1390938 -
Frontiers in Oncology 2024The use of immune checkpoint inhibitors (ICIs) has become the standard of care for non-small cell lung cancer. The purpose of this study was to systematically review the...
Immune-related adverse events and their effects on survival outcomes in patients with non-small cell lung cancer treated with immune checkpoint inhibitors: a systematic review and meta-analysis.
BACKGROUND
The use of immune checkpoint inhibitors (ICIs) has become the standard of care for non-small cell lung cancer. The purpose of this study was to systematically review the literature to determine whether the occurrence of immune-related adverse events (irAEs) following the use of ICIs predicts different clinical outcomes in non-small cell lung cancer (NSCLC).
METHODS
Relevant studies from the time of database creation to July 20, 2023, were systematically searched to explore the differences in clinical outcomes in patients with advanced NSCLC with or without irAEs. The outcome indicators included the occurrence of irAEs, progression-free survival (PFS), and overall survival (OS).
RESULTS
25 studies met the inclusion criteria. Of these studies, 22 reported the effect on OS, and 19 reported the effect on PFS. The results showed that for patients with NSCLC, the occurrence of irAEs after receiving immunotherapy showed a statistically significant benefit over the absence of irAEs for OS (HR=0.55,95% CI=0.46-0.65) and PFS (HR=0.55 95% CI=0.48-0.64), but severe irAEs (grades 3-5) were associated with worse OS (HR=1.05, 95% CI=0.87-1.27). Compared with gastrointestinal, lung, and hepatitis, irAEs of the skin and endocrine system tend to predict better OS and PFS.
CONCLUSION
The occurrence of irAEs, especially mild and early irAEs, indicates better OS and PFS in patients with NSCLC treated with ICIs, irrespective of patient characteristics, type of ICIs, and irAEs. However, Grade 3 or higher toxicities resulted in worse OS.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/, identifier CRD42023409444.
PubMed: 38887231
DOI: 10.3389/fonc.2024.1281645 -
Translational Cancer Research May 2024Non-small cell lung cancer (NSCLC) remains a leading cause of cancer mortality. Combined anlotinib and immune checkpoint inhibitors (ICIs) therapy may have synergistic...
Efficacy and safety of anlotinib in combination with immune checkpoint inhibitors or not as advanced non-small cell lung cancer treatment: a systematic review and network meta-analysis.
BACKGROUND
Non-small cell lung cancer (NSCLC) remains a leading cause of cancer mortality. Combined anlotinib and immune checkpoint inhibitors (ICIs) therapy may have synergistic antitumor effects in NSCLC. This study aimed to comparing the efficacy and safety of anlotinib and ICIs treatment, monotherapy and combination in NSCLC.
METHODS
We performed a systematic review and network meta-analysis of 14 studies involving 4,308 NSCLC patients across four regimens: anlotinib, ICIs, anlotinib plus ICIs, and placebo. Efficacy outcomes were progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and disease control rate (DCR). Safety outcomes included treatment-related adverse events (TRAEs), TRAE grade three or higher (TRAE ≥3). Analyses were performed in RevMan 5.3 and R 3.5.1 (gemtc package). P<0.05 or effect estimate with 95% confidence interval (CI) that did not include 1 indicated statistical significance.
RESULTS
Fourteen publications involving 4,308 patients across four treatment regimens (anlotinib, ICIs, anlotinib plus ICIs, placebo) were included. For PFS, network meta-analysis showed all three interventions significantly improved PFS versus placebo. Anlotinib plus ICIs demonstrated the greatest PFS improvement [hazard ratio (HR) =0.24; 95% CI: 0.14, 0.36], followed by anlotinib (HR =0.37; 95% CI: 0.23, 0.58), and ICIs (HR =0.43; 95% CI: 0.27, 0.67). For OS, compared to placebo, anlotinib plus ICIs showed the greatest OS improvement (HR =0.52; 95% CI: 0.33, 0.74), followed by anlotinib (HR =0.66; 95% CI: 0.47, 0.95), and ICIs (HR =0.72; 95% CI: 0.54, 0.97). For ORR, anlotinib plus ICIs demonstrated the greatest improvement versus placebo [odds ratio (OR) =5.29; 95% CI: 3.32, 8.58], followed by anlotinib (OR =4.38; 95% CI: 2.42, 8.19), and ICIs (OR =2.17; 95% CI: 1.65, 2.89). For DCR, anlotinib plus ICIs showed the greatest improvement versus placebo (OR =13.32; 95% CI: 4.99, 45.09), followed by anlotinib (OR =5.56; 95% CI: 2.17, 14.38), and ICIs (OR =3.46; 95% CI: 1.29, 10.85). Compared to placebo, anlotinib was associated with the highest risk of TRAEs (OR =3.67, 95% CI: 1.12, 15.77), followed by ICIs (OR =1.83; 95% CI: 1.26, 2.69). Due to lack of data on anlotinib plus ICIs, no comparison was conducted. For grade ≥3 TRAEs, compared to placebo, anlotinib increased the risk (OR =3.67; 95% CI: 1.12, 15.77), while anlotinib plus ICIs (OR =2.45; 95% CI: 0.51, 11.6) and ICIs (OR =1.29; 95% CI: 0.33, 4.38) did not increase the risk.
CONCLUSIONS
Anlotinib combined with ICIs demonstrates improved efficacy over monotherapy for NSCLC treatment, without increased adverse events.
PubMed: 38881944
DOI: 10.21037/tcr-23-1483