bluuebunny/crossref_metadata_2025 huggingface dataset:
Critical appraisal and assessment of bias among studies evaluating risk prediction models for in-hospital and 30-day mortality after percutaneous coronary intervention: a systematic review
Authors: Shi Yankai , Zhu Chen , Qi Wenhao , Cao Shihua , Chen Xiaomin , Xu Dongping , Wang Cheng
Published: July 2024

Objective

We systematically assessed prediction models for the risk of in-hospital and 30-day mortality in post-percutaneous coronary intervention (PCI) patients.

Design

Systematic review and narrative synthesis.

Data sources

Searched PubMed, Web of Science, Embase, Cochrane Library, CINAHL, CNKI, Wanfang Database, VIP Database and SinoMed for literature up to 31 August 2023.

Eligibility criteria

The included literature consists of studies in Chinese or English involving PCI patients aged ≥18 years. These studies aim to develop risk prediction models and include designs such as cohort studies, case–control studies, cross-sectional studies or randomised controlled trials. Each prediction model must contain at least two predictors. Exclusion criteria encompass models that include outcomes other than death post-PCI, literature lacking essential details on study design, model construction and statistical analysis, models based on virtual datasets, and publications such as conference abstracts, grey literature, informal publications, duplicate publications, dissertations, reviews or case reports. We also exclude studies focusing on the localisation applicability of the model or comparative effectiveness.

Data extraction and synthesis

Two independent teams of researchers developed standardised data extraction forms based on CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies to extract and cross-verify data. They used Prediction model Risk Of Bias Assessment Tool (PROBAST) to assess the risk of bias and applicability of the model development or validation studies included in this review.

Results

This review included 28 studies with 38 prediction models, showing area under the curve values ranging from 0.81 to 0.987. One study had an unclear risk of bias, while 27 studies had a high risk of bias, primarily in the area of statistical analysis. The models constructed in 25 studies lacked clinical applicability, with 21 of these studies including intraoperative or postoperative predictors.

Conclusion

The development of in-hospital and 30-day mortality prediction models for post-PCI patients is in its early stages. Emphasising clinical applicability and predictive stability is vital. Future research should follow PROBAST’s low risk-of-bias guidelines, prioritising external validation for existing models to ensure reliable and widely applicable clinical predictions.

PROSPERO registration number

CRD42023477272.
Effect of epidural anesthesia on the optic nerve sheath diameter in patients with pre-eclampsia: a prospective observational study
Authors: Park Sun-Kyung , Kim Hansol , Kim Youngwon , Jang Young-Eun , Kim Jin-Tae
Published: July 2024

Introduction

Optic nerve sheath diameter (ONSD) reflects intracranial pressure and is increased in pre-eclampsia. Administrating a significant volume of epidural solution into the epidural space can potentially increase ONSD. We investigated the impact of epidural local anesthetic injection on ONSD in patients with pre-eclampsia.

Methods

Patients with pre-eclampsia (n=11) and normotensive pregnant women (n=11) received de novo epidural anesthesia for cesarean delivery. We administered 21 mL of an epidural solution containing 2% lidocaine and 50 μg fentanyl into the lumbar epidural space in incremental doses. ONSD was measured at baseline, 3, 10, and 20 min after completing the epidural injection, after delivery, and at the end of surgery. Primary outcome was the change in ONSD from baseline to 3 min after epidural injection in patients with pre-eclampsia and normotensive pregnant women. Serial changes in the ONSD were analyzed using a linear mixed model.

Results

At baseline and 3 min after epidural drug injection, ONSD was significantly larger in patients with pre-eclampsia than in normotensive mothers (5.7 vs 4.1 mm, p=0.001 and 5.4 vs 4.1 mm, p<0.001, respectively). However, there were no significant changes in ONSD at 3 min after injection from baseline in either group (p>0.999). Linear mixed model demonstrated that ONSD did not change after epidural anesthesia in either group (p=0.279 and p=0.347, respectively).

Conclusions

Despite a higher baseline ONSD in pre-eclampsia, epidural anesthesia did not further increase ONSD. Our findings indicate that epidural anesthesia can be safely administered in patients with pre-eclampsia at risk of increased intracranial pressure, without other intracranial pathology.

Trial registration number

NCT04095832.
Impact of English proficiency on use of Glasgow Coma Scale in geriatric patients with traumatic brain injury
Authors: Layrisse-Landaeta Veronica , Dincheva Gabriela R , Khedr Shahenda , Geng Andrew , Schombs Michele , Maisha Kazi , Chao Steven Y , Chen Chun-Cheng
Published: July 2024

Background

The relationship between English proficiency (EP), Glasgow Coma Scale (GCS) and traumatic brain injury (TBI) is not well characterized. We aimed to understand the impact of limited English proficiency (LEP) on the evaluation and outcomes of TBI.

Methods

Retrospective comparative study in a single institution of patients aged ⪰65 who presented to the emergency department after a fall with head strike between January 2018 and December 2021. TBI was defined as documented loss of consciousness or intracranial hemorrhage (ICH). Relationships between EP, GCS, and TBI were analyzed with multivariable and propensity score-matched models.

Results

Of the 2905 included, 1233 (42%) had LEP. Most LEP patients were Asian (60%) while the majority of EP patients were non-Hispanic Caucasians (72%). In a univariate analysis, LEP had higher incidence of decreased GCS and was strongly correlated with risk of TBI (OR 1.47, CI 1.26 to 1.71). After adjusting for multiple covariates including race, LEP did not have a significantly increased risk for GCS score <13 (OR 1.66, CI 0.99 to 2.76) or increased risk of TBI. In the matched analysis, LEP had a small but significantly higher risk of GCS score <13 (OR 1.03, CI 1.02 to 1.05) without an increased risk in TBI. Decreased GCS remained strongly correlated with presence of ICH in LEP patients in the adjusted model (OR 1.39, CI 1.30 to 1.50).

Conclusions

LEP correlated with lower GCS in geriatric patients with TBI. This association weakened after adjusting for factors like race, suggesting racial disparities may have more influence than language differences. Moreover, GCS remained effective for predicting ICH in LEP individuals, highlighting its value with suitable translation resources.

Level of evidence

This is a Level III evidence restrospective comparative study.
Mapping hydrodynamic structure with sparse or no well data
Authors: Stewart S. A.
Published: July 2024

Hydrodynamic traps are usually mapped using well pressure data to transform structural depth maps, but if well data are sparse then hydrodynamic maps produced this way may have large uncertainties. An alternative approach that does not rely on well data is described here, utilizing simplified, locally planar representation of the potentiometric surface. Ranges of hydraulic gradient magnitudes and azimuths representing different potentiometric surface orientations, together with a range of possible density contrasts between the flowing and trapped fluids, define a three-dimensional array, termed here ‘hydrodynamic space’. This array can be constrained and simplified by reasonable assumptions and the introduction of an additional new concept that combines the hydraulic gradient magnitude and fluid density contrast into a single parameter termed ‘potentiometric transform’. Ranges of these parameters yield a set of hydrodynamic structural maps. The fineness of sampling the hydrodynamic space parameters is limited only by the resources available to support the workflow. The array can be automatically assessed in terms of hydrodynamic trap volumes by applying a structural closure algorithm that isolates and characterizes dip-closed structure. Closure volumes across the map set are ranked by spatial distribution analysis that informs exploration programs relevant to any subsurface fluid management application. The method is described for the first time here and illustrated by application to a real structural dataset.
Generating Pattern-Based Conventions for Predictable Planning in Human–Robot Collaboration
Authors: Lohrmann Clare , Stull Maria , Roncone Alessandro , Hayes Bradley
Published: July 2024

For humans to effectively work with robots, they must be able to predict the actions and behaviors of their robot teammates rather than merely react to them. While there are existing techniques enabling robots to adapt to human behavior, there is a demonstrated need for methods that explicitly improve humans’ ability to understand and predict robot behavior at multi-task timescales. In this work, we propose a method leveraging the innate human propensity for pattern recognition in order to improve team dynamics in human–robot teams and to make robots more predictable to the humans that work with them. Patterns are a cognitive tool that humans use and rely on often, and the human brain is in many ways primed for pattern recognition and usage. We propose pattern-aware convention-setting for teaming (PACT), an entropy-based algorithm that identifies and imposes appropriate patterns over a robot’s planner or policy over long time horizons. These patterns are autonomously generated and chosen via an algorithmic process that considers human-perceptible features and characteristics derived from the tasks to be completed, and as such, produces behavior that is easier for humans to identify and predict. Our evaluation shows that PACT contributes to significant improvements in team dynamics and teammate perceptions of the robot, as compared to robots that utilize traditionally ‘optimal’ plans and robots utilizing unoptimized patterns.
Influence of Nickel Percentage on Lattice Structure and Mechanical Strength in Al‐Si Alloy
Authors: Alsowidy Shakib , Al-Asry Belqueis , Alnehia Adnan
Published: July 2024

Aluminum alloys play a crucial role in various industrial applications due to their low weight and favorable mechanical properties. The specific mechanical properties of aluminum alloys can be tailored through alloying and heat treatment processes to meet the requirements of different applications. This study focused on investigating the impact of Ni addition at different concentrations (0, 0.01, 0.05, and 0.1 wt. %) on the microstructure and mechanical strength of Al‐Si alloy. The evaluation was performed using X‐ray diffraction (XRD) and Vickers hardness (HV) tests. XRD analyses revealed that the Al‐Si alloy consisted of α‐Al and Si phases. Upon the addition of Ni, an intermetallic compound (IMC), Al3Ni, was identified. The presence of this IMC leads to changes in the lattice constant and interatomic spacing (dhkl). Vickers hardness (HV) measurements were performed on the samples before and after sintering. The results indicated that the highest hardness value obtained was 93 HV for the sample containing 0.1 wt.% Ni after sintering, whereas the lowest hardness value was 56 Hv for the sample without any nickel content before sintering. This increase in hardness can be attributed to the elevated temperature, which facilitated greater diffusion of nickel atoms into the aluminum lattice.
Air‐Entraining Effect on Rheological Properties of Cement‐Based Mixtures
Authors: Tolegenova Aigerim , Skripkiunas Gintautas , Rishko Lyudmyla , Akmalaiuly Kenzhebek
Published: July 2024

The rheological properties and stability of cement‐based materials determine the technological properties of concrete mixtures and significantly influence concrete properties. Polycarboxylate ether (PCE) and other plasticizing admixtures are widely used in construction practice to plasticize concrete mixtures. Experimental research on the rheological characteristics of cement mortar modified with PCE and air‐entraining admixtures (AIRs) was carried out with a rotation rheometer with coaxial cylinders and water bleeding tests. Herschel–Buckley or modified Bingham models were used to approximate experimental flow curves and assess rheological parameters such as yield stress, plastic viscosity, and shear thinning/thickening index. The rheological test was carried out at 5 and 90 min after mixing the cement mortar. The rheological test established that the modification of cement mortar by PCE in a dosage of 0.2% (in dry material) leads to a decrease in plastic viscosity of 25.0% with a reduction in water demand of 18% for the same workability. Modification of cement mortar by AIR in 0.3% dosage leads to a decrease in yield stress by 37.7% and a decrease in plastic viscosity by 35.4% compared to the control specimen without PCE. The combined modification by PCE and AIR admixtures shows a synergistic effect. It leads to a significant decrease in yield stress of cement mortar by 92.2% and a decrease in plastic viscosity to about 0  Pa·s. In addition, there is a significant coefficient of water bleeding reduction up to 0%, when additional water reduction was carried out in the mixture while maintaining the same workability. The cement mortar, with or without PCE and AIR, exhibited shear‐thinning characteristics for up to 90 min after mixing. The solid, liquid, and gas (air) phases’ influence yield stress and plastic viscosity in the analysis mixtures are presented in this paper. It has been established that a modified exponential Mooney dependency can be used to predict the yield stress and plastic viscosity of the modified cement mortar (both plasticized and air‐entrained).
Supplemental Table 2 from Does Neighborhood Socioeconomic Status Alter Memory Change Associated with a Cancer Diagnosis? Preliminary Evidence from the US Health and Retirement Study
Authors: Westrick Ashly C. , Ospina-Romero Monica , Clarke Philippa , Langa Kenneth M. , Kobayashi Lindsay C.
Published: July 2024

Estimated Effects of Incident Cancer and nSES on Memory Function and Change using Linear Mixed Models, the US Health and Retirement Study, United States, 1998-2016.
Supplemental Table 1 from Does Neighborhood Socioeconomic Status Alter Memory Change Associated with a Cancer Diagnosis? Preliminary Evidence from the US Health and Retirement Study
Authors: Westrick Ashly C. , Ospina-Romero Monica , Clarke Philippa , Langa Kenneth M. , Kobayashi Lindsay C.
Published: July 2024

Characteristic of Included and Excluded Sample
Table S2 from Uncovering Risks Associated with Smoking Types and Intensities in Esophageal Cancer within High-Prevalence Regions in Africa: A Comprehensive Meta-analysis
Authors: Kamsu Gabriel T. , Ndebia Eugene J.
Published: July 2024

Distribution of studies by African sub-region.
Table S1 from Uncovering Risks Associated with Smoking Types and Intensities in Esophageal Cancer within High-Prevalence Regions in Africa: A Comprehensive Meta-analysis
Authors: Kamsu Gabriel T. , Ndebia Eugene J.
Published: July 2024

Search strategy in databases.
Supplementary Table S5 from Optimization and Local Cost-Effectiveness of Nasopharyngeal Carcinoma Screening Strategies in Southern China: Secondary Analysis of the Guangdong Randomized Trial
Authors: Miller Jacob A. , Liu Zhiwei , Pinsky Benjamin A. , Le Quynh-Thu , Li Tong , Yu Kelly J. , Hildesheim Allan , Cao Su-Mei
Published: July 2024

The supplementary table S5 shows impact of initial screening ages on NPC mortality reduction and cost-effectiveness among men and women for serology-based screening strategies in southern China (once-lifetime screening).
Supplementary Figure S1 from Optimization and Local Cost-Effectiveness of Nasopharyngeal Carcinoma Screening Strategies in Southern China: Secondary Analysis of the Guangdong Randomized Trial
Authors: Miller Jacob A. , Liu Zhiwei , Pinsky Benjamin A. , Le Quynh-Thu , Li Tong , Yu Kelly J. , Hildesheim Allan , Cao Su-Mei
Published: July 2024

The supplementary figure S1 shows schematic of natural history Markov model of endemic nasopharyngeal carcinoma (NPC).
Supplementary Table 5 from Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies
Authors: Oh Hannah , Yaghjyan Lusine , Heng Yujing J. , Rosner Bernard , Mahoney Matt B. , Murthy Divya , Baker Gabrielle M. , Tamimi Rulla M.
Published: July 2024

This table shows the beta coefficients and 95% confidence intervals for the associations of birthweight, childhood body fatness, BMI at age 18, current BMI, change in BMI since age 18, and adult height with log-transformed CD44, CD24, and ALDH1A1 expression levels in histopathologically normal epithelial and stromal tissue from benign breast biopsies among controls only.
Supplementary Table 3 from Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies
Authors: Oh Hannah , Yaghjyan Lusine , Heng Yujing J. , Rosner Bernard , Mahoney Matt B. , Murthy Divya , Baker Gabrielle M. , Tamimi Rulla M.
Published: July 2024

This table shows the beta coefficients and 95% confidence intervals for the associations of birthweight, childhood body fatness, BMI at age 18, current BMI, change in BMI since age 18, and adult height with log-transformed CD44, CD24, and ALDH1A1 expression levels in histopathologically normal epithelial and stromal tissue from benign breast biopsies among women with and without family history, separately.
Supplementary Table 2 from Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies
Authors: Oh Hannah , Yaghjyan Lusine , Heng Yujing J. , Rosner Bernard , Mahoney Matt B. , Murthy Divya , Baker Gabrielle M. , Tamimi Rulla M.
Published: July 2024

This table shows the beta coefficients and 95% confidence intervals for the associations of birthweight, childhood body fatness, BMI at age 18, current BMI, change in BMI since age 18, and adult height with log-transformed CD44, CD24, and ALDH1A1 expression levels in histopathologically normal epithelial and stromal tissue from benign breast biopsies among women at age <45 and ≥45 years, separately.
Supplementary Table 1 from Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies
Authors: Oh Hannah , Yaghjyan Lusine , Heng Yujing J. , Rosner Bernard , Mahoney Matt B. , Murthy Divya , Baker Gabrielle M. , Tamimi Rulla M.
Published: July 2024

This table shows the beta coefficients and 95% confidence intervals for the associations of birthweight, childhood body fatness, BMI at age 18, current BMI, change in BMI since age 18, and adult height with log-transformed CD44, CD24, and ALDH1A1 expression levels in histopathologically normal epithelial and stromal tissue from benign breast biopsies among premenopausal and postmenopausal women, separately.
Supplementary Table S6 from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

Supplementary Table S6 shows the results of stratified analysis for serum lipid levels according to genetic risk.
Supplementary Table S5 from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

Supplementary Table S5 shows the information of genetic variants associated with lung cancer.
Supplementary Table S4 from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

Supplementary Table S4 shows the results of sensitivity analysis restricted to participants with complete covariates.
Supplementary Table S3 from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

Supplementary Table S3 shows the results of sensitivity analysis after excluding incident cases during the first two year of follow-up.
Supplementary Table S1 from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

Supplementary Table S1 shows the associations between serum lipid levels categorized by CVD risk and lung cancer risk.
Supplementary Figure S1 from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

Supplementary Figure S1 shows the correlation matrix for serum lipid levels.
Supplementary Table ST1 from Evidence of Decreased Long-term Risk of Cervical Precancer after Negative Primary HPV Screens Compared with Negative Cytology Screens in a Longitudinal Cohort Study
Authors: Gottschlich Anna , Hong Quan , Gondara Lovedeep , Alam Md S. , Cook Darrel A. , Martin Ruth E. , Lee Marette , Melnikow Joy , Peacock Stuart , Proctor Lily , Stuart Gavin , Franco Eduardo L. , Krajden Mel , Smith Laurie W. , Ogilvie Gina S.
Published: July 2024

Supplementary Table S1. Crude cumulative risk of CIN2+ and CIN3+ at intervals over follow-up among WIC with one or two negative HPV screen(s)
Data from Uncovering Risks Associated with Smoking Types and Intensities in Esophageal Cancer within High-Prevalence Regions in Africa: A Comprehensive Meta-analysis
Authors: Kamsu Gabriel T. , Ndebia Eugene J.
Published: July 2024

Abstract
Tobacco is usually cited among the well-known risk factors of esophageal cancer; nevertheless, the extent of the contribution of the type of smoking and its intensity to the disease has not been comprehensively elucidated in Africa. We searched MEDLINE/PubMed, Excerpta Medica Database, Web of Science, Scopus, Cochrane Library, and African Journals Online studies published before September 2023. The quality of the studies was assessed using the Newcastle–Ottawa scale, and the funnel plot was used for assessing potential publication bias. Meta-analyses were conducted to estimate summary effects using random-effects models. This study included 22,319 participants from 27 studies. The results strongly indicate a significant association between tobacco use and a higher risk of esophageal cancer. The risk of esophageal cancer is notably higher among pipe smokers [OR = 4.68; 95% confidence interval (CI), 3.38–6.48], followed by hand-rolled cigarette smokers (OR = 3.79; 95% CI, 2.68–5.35), in comparison with those who smoked commercially manufactured cigarettes (OR = 2.46; 95% CI, 1.69–3.60). Our findings also showed that the risk of esophageal cancer is highest in people smoking >183 packs per year (OR = 5.47; 95% CI, 3.93–7.62), followed by those smoking 93 to 183 packs per year (OR = 3.90; 95% CI, 3.13–4.86), in comparison with those smoking ≤92 packs per year (OR = 2.90; 95% CI, 2.19–3.84). Our findings strongly show that among the different types of tobacco use in Africa, pipe and hand-roller smokers face a higher risk of esophageal cancer.
Data from Assessing Management of Abnormal Cervical Cancer Screening Results and Concordance with Guideline Recommendations in Three US Healthcare Settings
Authors: Cheng David , Rieu-Werden Meghan L. , Lykken Jacquelyn M. , Werner Claudia L. , Feldman Sarah , Silver Michelle I. , Atlas Steven J. , Tiro Jasmin A. , Haas Jennifer S. , Kamineni Aruna
Published: July 2024

AbstractBackground:
Follow-up of abnormal results is essential to cervical cancer screening, but data on adherence to follow-up are limited. We describe patterns of follow-up after screening abnormalities and identify predictors of guideline-concordant follow-up.
Methods:
We identified the index screening abnormality (positive human papillomavirus test or atypical squamous cells of undetermined significance or more severe cytology) among women of ages 25 to 65 years at three US healthcare systems during 2010 to 2019. We estimated the cumulative incidence of surveillance testing, colposcopy, or treatment after the index abnormality and initial colposcopy. Logistic regressions were fit to identify predictors of guideline-concordant follow-up according to contemporaneous guidelines.
Results:
Among 43,007 patients with an index abnormality, the cumulative incidence of any follow-up was 49.6% by 4 years for those with atypical squamous cells of undetermined significance/human papillomavirus–negative and higher for abnormalities warranting immediate colposcopy. The 1-year cumulative incidence of any follow-up after colposcopy was 70% for patients with normal results or cervical intraepithelial neoplasia I and 90% for patients with cervical intraepithelial neoplasia II+. Rates of concordant follow-up after screening and colposcopy were 52% and 47%, respectively. Discordant follow-up was associated with factors including age, race/ethnicity, overweight/obese body mass index, and specific types of public payor coverage or being uninsured.
Conclusions:
Adherence to the recommended follow-up of cytologic and histopathologic abnormalities is inconsistent in clinical practice. Concordance was poor for mild abnormalities and improved, although suboptimal, for more severe abnormalities.
Impact:
There remain gaps in the cervical cancer screening process in clinical practice. Further study is needed to understand the barriers to the appropriate management of cervical abnormalities.
Data from Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study
Authors: Wang Jing , Wang Qi , Shi Ziwei , Yan Xiaolong , Lei Zhiqun , Zhu Wenmin
Published: July 2024

AbstractBackground:
Previous studies usually focused on the separate association of metabolism or genetic factors with lung cancer risk and have largely ignored their combined effect. We aimed to examine the associations between serum lipid levels, genetic risk, and lung cancer risk.
Methods:
A total of 426,524 participants of the UK Biobank were included. The Cox proportional hazards models and restricted cubic splines were performed to assess the association between serum lipid and lung cancer risk. Polygenic risk score (PRS) was constructed to assess its joint effect and interaction with serum lipid on lung cancer risk.
Results:
Higher level of apolipoprotein A was significantly correlated with lower lung cancer risk. An inverse-J-shaped relationship between high-density lipoprotein (HDL) and incident lung cancer was found. Individuals with low total cholesterol, HDL, low-density lipoprotein (LDL), apolipoprotein A, and apolipoprotein B, combined with high PRS, showed significantly elevated lung cancer risks. Compared to those with low PRS and low triglycerides, participants with high PRS and elevated triglyceride levels had a notably higher risk. The interaction effect of high PRS and low LDL [relative excess risk due to the interaction (RERI): 0.25, 95% confidence interval, 0.04–0.46], as well as the interaction effect of high PRS and low apolipoprotein B (RERI: 0.28, 95% confidence interval, 0.07–0.48), were both greater than the sum of their individual effects on lung cancer risk.
Conclusions:
Serum lipids were associated with lung cancer risk. LDL or apolipoprotein B interacting with genetic risk may affect lung cancer risk.
Impact:
Our findings emphasize the need for individuals with heightened genetic risk should pay more attention to their lipid levels to reduce lung cancer risk.
Supplementary Table 1 from Diffuse Pleural Mesotheliomas with Genomic Near-Haploidization: A Newly Recognized Subset with Distinct Clinical, Histologic, and Molecular Features
Authors: Yang Soo-Ryum , Jayakumaran Gowtham , Benhamida Jamal , Febres-Aldana Christopher A. , Fanaroff Rachel , Chang Jason , Gedvilaite Erika , Villafania Liliana B. , Sauter Jennifer L. , Offin Michael , Zauderer Marjorie G. , Ladanyi Marc
Published: July 2024

Supplementary Table 1
Supplementary Table S3 from Fraction Dose Escalation of Hypofractionated Radiotherapy with Concurrent Chemotherapy and Subsequent Consolidation Immunotherapy in Locally Advanced Non–Small Cell Lung Cancer: A Phase I Study
Authors: Zhou Rui , Liu FangJie , Zhang HongMei , Wang DaQuan , Zhang PengXin , Zheng ShiYang , Liu YiMei , Chen Li , Guo JinYu , Zou YingYi , Rong Yu-Ming , Liu Hui , Qiu Bo
Published: July 2024

Supplementary Table S3. Treatment details (n=18).
Supplementary Figure S5 from Immunologic Profiling of Immune-Related Cutaneous Adverse Events with Checkpoint Inhibitors Reveals Polarized Actionable Pathways
Authors: Lacouture Mario E. , Goleva Elena , Shah Neil , Rotemberg Veronica , Kraehenbuehl Lukas , Ketosugbo Kwami F. , Merghoub Taha , Maier Tara , Bang Alexander , Gu Stephanie , Salvador Trina , Moy Andrea P. , Lyubchenko Taras , Xiao Olivia , Hall Clifton F. , Berdyshev Evgeny , Crooks James , Weight Ryan , Kern Jeffrey A. , Leung Donald Y.M.
Published: July 2024

Supplementary Figure S5. Treatment responses of patients with immune-related cutaneous adverse events (ircAEs; Cohort 1).
Supplementary Figure S2 from Immunologic Profiling of Immune-Related Cutaneous Adverse Events with Checkpoint Inhibitors Reveals Polarized Actionable Pathways
Authors: Lacouture Mario E. , Goleva Elena , Shah Neil , Rotemberg Veronica , Kraehenbuehl Lukas , Ketosugbo Kwami F. , Merghoub Taha , Maier Tara , Bang Alexander , Gu Stephanie , Salvador Trina , Moy Andrea P. , Lyubchenko Taras , Xiao Olivia , Hall Clifton F. , Berdyshev Evgeny , Crooks James , Weight Ryan , Kern Jeffrey A. , Leung Donald Y.M.
Published: July 2024

Supplementary Figure S2. Peripheral blood differential cell counts assessment of patients with cancer experiencing checkpoint inhibitor induced immune-related cutaneous adverse events (ircAE).
Supplementary Table S1 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Supplementary Table S1. Representativeness of Study Participants.
Supplementary Figure S8 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Supplementary Figure S8. Heatmap showing immune-related Level 1 Reactome and selected Cancer Hallmark pathways in bulk RNA sequencing of baseline metastatic lymph node biopsies from patients allocated to the Satisfactory (n=27) and Unsatisfactory (n=13) groups.
Supplementary Figure S5 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Supplementary Figure S5. Tumor purity.
Supplementary Figure S4 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Supplementary Figure S4. Immune cell densities by IHC across organ sites.
Supplementary Figure S3 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Supplementary Figure S3. Immune cell populations in baseline metastatic biopsies within Satisfactory and Unsatisfactory groups.
Supplementary Figure S11 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Supplementary Figure S11. Proportions of patients with AVPCmDNA and genomic alterations in p53, RB1, and PTEN in each group based on WES of metastatic tumor biopsies from patients in the Satisfactory group (n=37, in red) and in the Unsatisfactory group (n=22, in blue).
Supplementary Data 1 from A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer
Authors: Aparicio Ana M. , Tidwell Rebecca S.S. , Yadav Shalini S. , Chen Jiun-Sheng , Zhang Miao , Liu Jingjing , Guo Shuai , Pilié Patrick G. , Yu Yao , Song Xingzhi , Vundavilli Haswanth , Jindal Sonali , Zhu Keyi , Viscuse Paul V. , Lebenthal Justin M. , Hahn Andrew W. , Soundararajan Rama , Corn Paul G. , Zurita-Saavedra Amado , Subudhi Sumit K. , Zhang Jianhua , Wang Wenyi , Huff Chad , Troncoso Patricia , Allison James P. , Sharma Padmanee , Logothetis Christopher J.
Published: July 2024

Criteria and Definitions: Trial eligibility criteria, dose reductions, failure-free survival
Supplementary Table S1 from Endometrioid Endometrial RNA Index Predicts Recurrence in Stage I Patients
Authors: Nief Corrine A. , Hammer Phoebe M. , Wang Aihui , Charu Vivek , Tanweer Amina , Litkouhi Babak , Kidd Elizabeth , Gentles Andrew J. , Howitt Brooke E.
Published: July 2024

Supplemental Table 1: Genes used in EERI listed by prognostic impact.
Supplementary Figure S4 from Endometrioid Endometrial RNA Index Predicts Recurrence in Stage I Patients
Authors: Nief Corrine A. , Hammer Phoebe M. , Wang Aihui , Charu Vivek , Tanweer Amina , Litkouhi Babak , Kidd Elizabeth , Gentles Andrew J. , Howitt Brooke E.
Published: July 2024

Supplemental Figure 4: Recurrence Free Survival stratified by EERI score for Stages I-IV disease in the TCGA-UCEC Cohort. Patients with EEC by stage at diagnosis. Patients were included with more than 1 year of follow-up and known endometrioid histology. A) Stage I patients. B) Stage II patients. C) Stage III patients. D) Stage IV patients. E) All stages.
Supplementary Figure S2 from Endometrioid Endometrial RNA Index Predicts Recurrence in Stage I Patients
Authors: Nief Corrine A. , Hammer Phoebe M. , Wang Aihui , Charu Vivek , Tanweer Amina , Litkouhi Babak , Kidd Elizabeth , Gentles Andrew J. , Howitt Brooke E.
Published: July 2024

Supplemental Figure 2: Schoenfeld’s test of proportional hazards for multivariate Cox analysis including CINSARC and EcoTyper Classifiers.
Supplementary Table S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Authors: Han Ji W. , Lee Soon K. , Kwon Jung H. , Nam Soon W. , Yang Hyun , Bae Si H. , Kim Ji H. , Nam Heechul , Kim Chang W. , Lee Hae L. , Kim Hee Y. , Lee Sung W. , Lee Ahlim , Chang U I. , Song Do S. , Kim Seok-Hwan , Song Myeong J. , Sung Pil S. , Choi Jong Y. , Yoon Seung K. , Jang Jeong W.
Published: July 2024

Comparison of potential prognostic factors before and after propensity-score matching between later-line treatments.
Supplementary Table S4 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Authors: Han Ji W. , Lee Soon K. , Kwon Jung H. , Nam Soon W. , Yang Hyun , Bae Si H. , Kim Ji H. , Nam Heechul , Kim Chang W. , Lee Hae L. , Kim Hee Y. , Lee Sung W. , Lee Ahlim , Chang U I. , Song Do S. , Kim Seok-Hwan , Song Myeong J. , Sung Pil S. , Choi Jong Y. , Yoon Seung K. , Jang Jeong W.
Published: July 2024

Performances for the prediction of 12-month survival of each XGBoost model according to the sex.
Supplementary Figure S8 from Integrating Multisector Molecular Characterization into Personalized Peptide Vaccine Design for Patients with Newly Diagnosed Glioblastoma
Authors: Johanns Tanner M. , Garfinkle Elizabeth A.R. , Miller Katherine E. , Livingstone Alexandra J. , Roberts Kaleigh F. , Rao Venkata Lakshmi P. , Dowling Joshua L. , Chicoine Michael R. , Dacey Ralph G. , Zipfel Gregory J. , Kim Albert H. , Mardis Elaine R. , Dunn Gavin P.
Published: July 2024

CDR3beta sequences ranked by ratio
Supplementary Figure S6 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Authors: Han Ji W. , Lee Soon K. , Kwon Jung H. , Nam Soon W. , Yang Hyun , Bae Si H. , Kim Ji H. , Nam Heechul , Kim Chang W. , Lee Hae L. , Kim Hee Y. , Lee Sung W. , Lee Ahlim , Chang U I. , Song Do S. , Kim Seok-Hwan , Song Myeong J. , Sung Pil S. , Choi Jong Y. , Yoon Seung K. , Jang Jeong W.
Published: July 2024

SHAP values of each clinical parameter predicting 1-year survival using CLAM-C.
Supplementary Figure S7 from Integrating Multisector Molecular Characterization into Personalized Peptide Vaccine Design for Patients with Newly Diagnosed Glioblastoma
Authors: Johanns Tanner M. , Garfinkle Elizabeth A.R. , Miller Katherine E. , Livingstone Alexandra J. , Roberts Kaleigh F. , Rao Venkata Lakshmi P. , Dowling Joshua L. , Chicoine Michael R. , Dacey Ralph G. , Zipfel Gregory J. , Kim Albert H. , Mardis Elaine R. , Dunn Gavin P.
Published: July 2024

CDR3beta sequences ranked by abundance
Supplementary Figure S14 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Authors: Han Ji W. , Lee Soon K. , Kwon Jung H. , Nam Soon W. , Yang Hyun , Bae Si H. , Kim Ji H. , Nam Heechul , Kim Chang W. , Lee Hae L. , Kim Hee Y. , Lee Sung W. , Lee Ahlim , Chang U I. , Song Do S. , Kim Seok-Hwan , Song Myeong J. , Sung Pil S. , Choi Jong Y. , Yoon Seung K. , Jang Jeong W.
Published: July 2024

Comparisons of the OS between very high-risk patients with sorafenib/lenvatinib (n = 236) and atezolizumab+bevacizumab (n = 17) and those who underwent only best-supportive care (n = 56).
Supplementary Figure S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Authors: Han Ji W. , Lee Soon K. , Kwon Jung H. , Nam Soon W. , Yang Hyun , Bae Si H. , Kim Ji H. , Nam Heechul , Kim Chang W. , Lee Hae L. , Kim Hee Y. , Lee Sung W. , Lee Ahlim , Chang U I. , Song Do S. , Kim Seok-Hwan , Song Myeong J. , Sung Pil S. , Choi Jong Y. , Yoon Seung K. , Jang Jeong W.
Published: July 2024

A study flow chart presents machine learning modeling and risk stratification.
Supplementary Table S7 from Spatial Profiling of Ovarian Carcinoma and Tumor Microenvironment Evolution under Neoadjuvant Chemotherapy
Authors: Yaniz-Galende Elisa , Zeng Qinghe , Bejar-Grau Juan F. , Klein Christophe , Blanc-Durand Felix , Le Formal Audrey , Pujade-Lauraine Eric , Chardin Laure , Edmond Elodie , Marty Virginie , Ray-Coquard Isabelle , Joly Florence , Ferron Gwenael , Pautier Patricia , Berton-Rigaud Dominique , Lortholary Alain , Dohollou Nadine , Desauw Christophe , Fabbro Michel , Malaurie Emmanuelle , Bonichon-Lamaichhane Nathalie , Bello Roufai Diana , Gantzer Justine , Rouleau Etienne , Genestie Catherine , Leary Alexandra
Published: July 2024

Positivity of immune coregulators in pre- and post-NACT clusters
Supplementary Table S4 from Spatial Profiling of Ovarian Carcinoma and Tumor Microenvironment Evolution under Neoadjuvant Chemotherapy
Authors: Yaniz-Galende Elisa , Zeng Qinghe , Bejar-Grau Juan F. , Klein Christophe , Blanc-Durand Felix , Le Formal Audrey , Pujade-Lauraine Eric , Chardin Laure , Edmond Elodie , Marty Virginie , Ray-Coquard Isabelle , Joly Florence , Ferron Gwenael , Pautier Patricia , Berton-Rigaud Dominique , Lortholary Alain , Dohollou Nadine , Desauw Christophe , Fabbro Michel , Malaurie Emmanuelle , Bonichon-Lamaichhane Nathalie , Bello Roufai Diana , Gantzer Justine , Rouleau Etienne , Genestie Catherine , Leary Alexandra
Published: July 2024

Change in iTME (macrophages/APCS) with NACT in paired samples
Supplementary Table S2 from Spatial Profiling of Ovarian Carcinoma and Tumor Microenvironment Evolution under Neoadjuvant Chemotherapy
Authors: Yaniz-Galende Elisa , Zeng Qinghe , Bejar-Grau Juan F. , Klein Christophe , Blanc-Durand Felix , Le Formal Audrey , Pujade-Lauraine Eric , Chardin Laure , Edmond Elodie , Marty Virginie , Ray-Coquard Isabelle , Joly Florence , Ferron Gwenael , Pautier Patricia , Berton-Rigaud Dominique , Lortholary Alain , Dohollou Nadine , Desauw Christophe , Fabbro Michel , Malaurie Emmanuelle , Bonichon-Lamaichhane Nathalie , Bello Roufai Diana , Gantzer Justine , Rouleau Etienne , Genestie Catherine , Leary Alexandra
Published: July 2024

Primary antibodies used for IHC monomarker detection
Supplementary Table S2 from Monitoring Hepatocellular Carcinoma Using Tumor Content in Circulating Cell-Free DNA
Authors: Lian Shifeng , Lu Chenyu , Li Fugui , Yu Xia , Ai Limei , Wu Biaohua , Gong Xueyi , Zhou Wenjing , Liang Xuejun , Zhan Jiyun , Yuan Yong , Fang Fang , Liu Zhiwei , Ji Mingfang , Zheng Zongli
Published: July 2024

Supplementary Table S2. Cox regression analyses of factors related with overall survival (OS) among 67 hospital HCC patients. Univariate and multivariate Cox models were used to calculate hazard ratio (HR) and 95% confidence interval (CI). Stratification analyses were performed to compare tumor fraction by Barcelona clinic liver cancer stage (BCLC) stage.
Supplementary Table S2 from Cell-Free Human Papillomavirus DNA Is a Sensitive Biomarker for Prognosis and for Early Detection of Relapse in Locally Advanced Cervical Cancer
Authors: Sivars Lars , Jylhä Cecilia , Crona Guterstam Ylva , Zupancic Mark , Lindqvist Britta , Nordenskjöld Magnus , Tham Emma , Hellman Kristina
Published: July 2024

Supplementary Table S2. Information on the plasmids with cloned HPV reference genomes used, kindly provided by the International HPV Reference Center, Stockholm, Sweden.
Supplementary Methods S1 from Cell-Free Human Papillomavirus DNA Is a Sensitive Biomarker for Prognosis and for Early Detection of Relapse in Locally Advanced Cervical Cancer
Authors: Sivars Lars , Jylhä Cecilia , Crona Guterstam Ylva , Zupancic Mark , Lindqvist Britta , Nordenskjöld Magnus , Tham Emma , Hellman Kristina
Published: July 2024

Supplementary information on assay design.
Supplementary Figure S7 from Cell-Free Human Papillomavirus DNA Is a Sensitive Biomarker for Prognosis and for Early Detection of Relapse in Locally Advanced Cervical Cancer
Authors: Sivars Lars , Jylhä Cecilia , Crona Guterstam Ylva , Zupancic Mark , Lindqvist Britta , Nordenskjöld Magnus , Tham Emma , Hellman Kristina
Published: July 2024

Supplementary Figure S7. Number of copies of ctHPV DNA at different timepoints for all patients (n = 13) who experienced disease progression at early follow-up or tumor evaluation or shortly thereafter and thus were not deemed to have had complete response to treatment.
Supplementary Table S2 from Safety, Pharmacokinetics, Pharmacodynamics, and Antitumor Activity from a Phase I Study of Simlukafusp Alfa (FAP-IL2v) in Advanced/Metastatic Solid Tumors
Authors: Steeghs Neeltje , Gomez-Roca Carlos , Rohrberg Kristoffer S. , Mau-Sørensen Morten , Robbrecht Debbie , Tabernero Josep , Ahmed Samreen , Rodríguez-Ruiz Maria E. , Ardeshir Caroline , Schmid Daniela , Sleiman Nassim , Watson Carl , Piper-Lepoutre Hanna , Dejardin David , Evers Stefan , Boetsch Christophe , Charo Jehad , Teichgräber Volker , Melero Ignacio
Published: July 2024

Supplementary Table S2. Most frequent any-grade AEs (≥20%) across all doses and combined. AE, adverse event; ALT, alanine transaminase; AST, aspartate transaminase; FAP-IL2v, fibroblast activation protein-α interleukin-2 variant.
Supplementary Table S1 from Safety, Pharmacokinetics, Pharmacodynamics, and Antitumor Activity from a Phase I Study of Simlukafusp Alfa (FAP-IL2v) in Advanced/Metastatic Solid Tumors
Authors: Steeghs Neeltje , Gomez-Roca Carlos , Rohrberg Kristoffer S. , Mau-Sørensen Morten , Robbrecht Debbie , Tabernero Josep , Ahmed Samreen , Rodríguez-Ruiz Maria E. , Ardeshir Caroline , Schmid Daniela , Sleiman Nassim , Watson Carl , Piper-Lepoutre Hanna , Dejardin David , Evers Stefan , Boetsch Christophe , Charo Jehad , Teichgräber Volker , Melero Ignacio
Published: July 2024

Supplementary Table S1. Study representation of underserved communities.
Supplementary Table S1 from A Cohort Study of CNS Tumors in Multiple Endocrine Neoplasia Type 1
Authors: Graillon Thomas , Romanet Pauline , Camilla Clara , Gélin Camille , Appay Romain , Roche Catherine , Lagarde Arnaud , Mougel Grégory , Farah Kaissar , Le Bras Maëlle , Engelhardt Julien , Kalamarides Michel , Peyre Matthieu , Amelot Aymeric , Emery Evelyne , Magro Elsa , Cebula Hélène , Aboukais Rabih , Bauters Catherine , Jouanneau Emmanuel , Berhouma Moncef , Cuny Thomas , Dufour Henry , Loiseau Hugues , Figarella-Branger Dominique , Bauchet Luc , Binquet Christine , Barlier Anne , Goudet Pierre
Published: July 2024

Sporadic meningothelial meningiomas characteristics