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BACKGROUND: Several tools are used to assess postoperative weight loss after bariatric surgery, including the percentage of excess body weight loss (%EWL), percentage of total weight loss (%TWL), and percentage of excess body mass index (BMI) loss (%EBMIL). A repeated series of measurements should be considered to assess weight loss as accurately as possible. This study aimed to test weight loss metrics. METHODS: Data were obtained from a prospective database of patients with obesity who underwent laparoscopic Roux-en-Y gastric bypass (LRYGB) or laparoscopic sleeve gastrectomy (LSG) between 2016 and 2017 in a French tertiary referral bariatric center. A multilevel mixed-effects linear regression model with repeated measures was used to analyze repeated weight measurements over time. RESULTS: A total of 435 patients underwent LRYGB (n = 266) or LSG (n = 169). At 2 years, the average %EWL, %EBMIL, and %TWL were 56.8%, 61.3%, and 26.6%, respectively. Patients who underwent LSG experienced lower weight loss (ß: - 4233 in %TWL model, ß: - 6437 in %EWL model, and ß: - 6989 in %EBMIL model) than those who underwent LRYGB. In multivariate mixed analysis, preoperative BMI was not significantly associated with %TWL at 2 years (ß, - 0.09 [- 0.22-0.03] p = 0.1). Preoperative BMI was negatively associated with both %EWL (ß, - 1.61 [- 1.84-- 1.38] p < 0.0001) and %EBMIL (ß, - 1.91 [- 2.16-- 1.66] p < 0.0001). CONCLUSION: This is the first study to assess %TWL use for postoperative weight measurement, using a multilevel mixed-effects linear regression model %TWL is the measure of choice to assess weight loss following bariatric surgery.
Subject(s)
Obesity, Morbid , Weight Loss , Humans , Female , Male , Adult , Middle Aged , Obesity, Morbid/surgery , Linear Models , Body Mass Index , Bariatric Surgery/methods , Laparoscopy/methods , Gastrectomy/methods , Gastric Bypass/methods , Prospective Studies , Treatment OutcomeABSTRACT
BACKGROUND: The observed increase in the incidence of complicated diverticulitis may lead to the performance of more emergency surgeries. This study aimed to assess the rate and risk factors of emergency surgery for sigmoid diverticulitis. METHOD: The primary outcomes were the rate of emergency surgery for sigmoid diverticulitis and its associated risk factors. The urgent or elective nature of the surgical intervention was provided by the surgeon and in accordance with the indication for surgical treatment. A mixed logistic regression with a random intercept after multiple imputations by the chained equation was performed to consider the influence of missing data on the results. RESULTS: Between 2010 and 2021, 6,867 patients underwent surgery for sigmoid diverticulitis in the participating centers, of which one-third (n = 2317) were emergency cases. In multivariate regression analysis with multiple imputation by chained equation, increasing age, body mass index <18.5 kg/m2, neurologic and pulmonary comorbidities, use of anticoagulant drugs, immunocompromised status, and first attack of sigmoid diverticulitis were independent risk factors for emergency surgery. The likelihood of emergency surgery was significantly more frequent after national guidelines, which were implemented in 2017, only in patients with a history of sigmoid diverticulitis attacks. CONCLUSION: The present study highlights a high rate (33%) of emergency surgery for sigmoid diverticulitis in France, which was significantly associated with patient features and the first attack of diverticulitis.
Subject(s)
Diverticulitis, Colonic , Humans , Retrospective Studies , Female , Male , Middle Aged , Risk Factors , France/epidemiology , Aged , Diverticulitis, Colonic/surgery , Diverticulitis, Colonic/epidemiology , Emergencies , Adult , Sigmoid Diseases/surgery , Aged, 80 and over , Elective Surgical Procedures/statistics & numerical data , Emergency Treatment/statistics & numerical dataABSTRACT
Accessibility to care is a major public health issue. Various tools to assess it are available, but they do not solve the problem of scale. Moreover, accessibility is a multidimensional concept that is not taken into account with current tools. The SCALE index aims to overcome these two limitations by proposing a synthetic measure on a more precise scale than the administrative unit or the sub-municipal scale. Under the assumption of access to care facilities for all and access to the nearest facilities, the potential accessibility distance was calculated for each couple (residential area, accessible facilities). This was defined as the average distance by road that the population has to travel to access care. To take the availability of resources into account, these distances were weighted by the theoretical pressure on the facilities. The SCALE index was then calculated using a linear combination of the distances of potential accessibility to care facilities It highlights differences in accessibility at the national and regional scale. Using this index, it was possible to provide maps for all French regions and the major cities in a story-map. The major conurbation around Paris and the main urban centers has high accessibility. Low accessibility forms a "Y" shape. In conclusion, the SCALE index measures accessibility at the scale of a small geographic unit taking the proximity and the availability of health professionals into account. It is also possible to take into account the diversity of accessibility in a given territory.
Subject(s)
Health Services Accessibility , Travel , France , Primary Health Care , ParisABSTRACT
BACKGROUND: The effects of extremely low-frequency magnetic fields, especially their long-term health effects, including childhood leukaemia, remain elusive. The International Agency for Research on Cancer has classified the exposure to magnetic fields >0.4 µT as 'possibly carcinogenic to humans (group 2 B)' for childhood leukaemia. However, the number of exposed individuals, particularly children, remains poorly documented in international literature. The objective of this study was to estimate the number of individuals living near a high or very high voltage line in France (≥63 kV), among the general population and children under the age of five years. METHODS: The estimate considered different exposure scenarios depending on the line voltage and the distance of the housing from it, and whether the line is overhead or underground. The exposure scenarios were obtained using a multilevel linear model created from a measurement database published by "Réseau de transport d'électricité", the operator of the French electricity transmission network. RESULTS: Between 0.11% (n = 67,893) and 1.01% (n = 647,569) of the French population and between 0.10% (n = 4712) and 1.03% (n = 46,950) of children under five years of age were estimated to be living in an area potentially exposed to a magnetic field, depending on the exposure scenario (>0.4 µT and >0.1 µT, respectively). CONCLUSIONS: By making it possible to estimate the total number of residents, schools, and health institutions near high-voltage power lines, the proposed methodology can help identify potential co-exposures near high-voltage power lines, which are regularly cited as a possible explanation for contradictory results from epidemiological studies.
Subject(s)
Geographic Information Systems , Leukemia , Humans , Child , Child, Preschool , Environmental Exposure , Magnetic Fields , Leukemia/epidemiology , France/epidemiology , Electromagnetic Fields/adverse effectsABSTRACT
The presence of missing data, a constant problem in medical research, has several consequences: systematic loss of power, associated or not with a reduction in the representativeness of the sample analyzed. There are three types of missing data: 1) missing completely at random (MCAR); 2) missing at random (MAR); 3) missing not at random (MNAR). Multiple imputation by chained equations allows for the correct handling of missing data under the MCAR and MAR assumptions. It allows to simulate for each missing data j, a number m of simulated values which seem plausible with regard to the other variables. A random effect is included in this simulation to express the uncertainty. Several data sets are thus created and analyzed individually, in an identical way. Then the estimators of each data set are combined to obtain a global estimator. Multiple imputation increases power, corrects for some biases and has the advantage of being applicable to many types of variables. Complete case analysis should no longer be the norm. The objective of this guide is to help the reader in conducting an analysis with multiple imputed data. We cover the following points: the different types of missing data, the different historical approaches to handling them, and then we detail the multiple imputation method using chained equations. We provide a code example for the mice package of R®.
La présence de données manquantes, problème constant en recherche médicale, a plusieurs conséquences : une perte de puissance systématique, associée ou non à une diminution de la représentativité de l'échantillon analysé. Il existe trois types de données manquantes : 1) manquantes complètement au hasard (MCAR - missing completely at random) ; 2) manquantes au hasard (MAR - missing at random) ; 3) manquantes non au hasard (MNAR - missing not at random). L'imputation multiple par équations chaînées permet de prendre en charge correctement les données manquantes sous les hypothèses MCAR et MAR. Elle permet de simuler pour chaque donnée manquante j, un nombre m de valeurs simulées qui semblent plausibles au regard des autres variables. Un effet aléatoire est inclus dans cette simulation pour exprimer l'incertitude. Plusieurs jeux de données sont ainsi créés et analysés individuellement de façon identique. Ensuite, les estimateurs de chaque jeu de données sont regroupés pour obtenir un estimateur global. L'imputation multiple permet d'augmenter la puissance, de corriger certains biais et a l'avantage d'être applicable à de très nombreux types de variables. L'analyse en cas complets ne devrait plus être la norme. L'objectif de ce guide est d'aider le lecteur dans la réalisation d'une analyse avec des données imputées de manière multiple. Nous traitons ici les différents types de données manquantes, les approches historiques pour les gérer, puis nous détaillons la méthode d'imputation multiple par équations chaînées. Nous fournissons un exemple de code pour le package mice de R®.
Subject(s)
Biomedical Research , Animals , Mice , Computer SimulationABSTRACT
INTRODUCTION: Resection is the cornerstone of curative management for pancreatic ductal adenocarcinoma (PDAC). Hospital surgical volume influence post-operative mortality. Few is known about impact on survival. METHODS: Population included 763 patients resected for PDAC within the 4 French digestive tumor registries between 2000 and 2014. Spline method was used to determine annual surgical volume thresholds influencing survival. A multilevel survival regression model was used to study center effect. RESULTS: Population was divided into three groups: low-volume (LVC) (<41 hepatobiliary/pancreatic procedures/year), medium-volume (MVC) (41-233) and high-volume centers (HVC) (>233). Patients in LVC were older (p = 0.02), had a lower rate of disease-free margins (76.7% vs. 77.2% and 69.5%, p = 0.028) and a higher post-operative mortality than in MVC and HVC (12.5% and 7.5% vs. 2.2%; p = 0.004). Median survival was higher in HVC than in other centers (25 vs. 15.2 months, p < 0.0001). Survival variance attributable to center effect accounted for 3.7% of total variance. In multilevel survival analysis, surgical volume explained the inter-hospital survival heterogeneity (non-significant variance after adding the volume to the model p = 0.3). Patients resected in HVC had a better survival than in LVC (HR 0.64 [0.50-0.82], p < 0.0001). There was no difference between MVC and HVC. CONCLUSION: Regarding center effect, individual characteristics had little impact on survival variability across hospitals. Hospital volume was a major contributor to the center effect. Given the difficulty of centralizing pancreatic surgery, it would be wise to determine which factors would indicate management in a HVC.
Subject(s)
Adenocarcinoma , Carcinoma, Pancreatic Ductal , Pancreatic Neoplasms , Humans , Pancreatic Neoplasms/surgery , Adenocarcinoma/surgery , Hospitals , Survival Analysis , Carcinoma, Pancreatic Ductal/surgery , Retrospective Studies , Pancreatic NeoplasmsABSTRACT
BACKGROUND: With a mortality rate of up to 30%, post-pancreatectomy hemorrhage (PPH) remains a serious complication after pancreatoduodenectomy (PD) for cancer. Little is known about the long-term survival of patients after PPH. This retrospective study aimed to evaluate the impact of PPH on long-term survival after PD. METHODS: The study included 830 patients (PPH, n = 101; non-PPH, n = 729) from two centers, who underwent PD for oncological indications. PPH was defined as any bleeding event occurring within 90 days after surgery. A flexible parametric survival model was used to determine the evolution of the risk of death over time. RESULTS: At postoperative day 90, PPH significantly increased the mortality rate (PPH vs. non-PPH: 19.8% vs. 3.7%, p < 0.0001) and severe postoperative complication rate (85.1% vs. 14.1%, p < 0.0001), and decreased median survival (18.6 months vs. 30.1 months, p = 0.0001). PPH was associated with an increased mortality risk until the sixth postoperative month. After this 6-month period, PPH had no more influence on mortality. CONCLUSIONS: PPH had a negative impact on the short-term overall survival beyond postoperative day 90 and up to six months after PD. However, compared to non-PPH patients, this adverse event had no impact on mortality after a 6-month period.
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BACKGROUND: The impact of several non-clinical factors on cancer survival is poorly understood. The aim of this study was to investigate the influence of travel time to the nearest referral center on survival of patients with cancer. PATIENTS AND METHODS: The study used data from the French Network of Cancer Registries that combines all the French population-based cancer registries. For this study, we included the 10 most common solid invasive cancer sites in France between 1 January 2013 and 31 December 2015, representing 160,634 cases. Net survival was measured and estimated using flexible parametric survival models. Flexible excess mortality modelling was performed to investigate the association between travel time to the nearest referral center and patient survival. To allow the most flexible effects, restricted cubic splines were used to investigate the influence of travel times to the nearest cancer center on excess hazard ratio. RESULTS: Among the 1-year and 5-year net survival results, lower survival was observed for patients residing farthest from the referral center for half of the included cancer types. The remoteness gap in survival was estimated to be up to 10% at 5 years for skin melanoma in men and 7% for lung cancer in women. The pattern of the effect of travel time was highly different according to tumor type, being either linear, reverse U-shape, non-significant, or better for more remote patients. For some sites restricted cubic splines of the effect of travel time on excess mortality were observed with a higher excess risk ratio as travel time increased. CONCLUSIONS: For numerous cancer sites, our results reveal geographical inequalities, with remote patients experiencing a worse prognosis, aside from the notable exception of prostate cancer. Future studies should evaluate the remoteness gap in more detail with more explanatory factors.
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BACKGROUND: Regarding weight loss outcomes, the results published after laparoscopic sleeve gastrectomy (LSG) and laparoscopic Roux-en-Y (LRYGB) are conflicting. At this time, no clear evidence exists that outcomes from LSG are similar to those for LRYGB. The main objective of this study was to compare the percent of total weight loss (%TWL) between LRYGB and LSG over the first 2 years using a multilevel mixed-effects linear regression. METHODS: Data were collected from a prospectively maintained database of patients who underwent primary laparoscopic bariatric surgery from January 2016 to December 2017 at a French accredited bariatric center. The medical records of 435 consecutive patients were analyzed. %TWL was calculated at each follow-up surgical consultation and used as a repeated outcome variable in our models to assess the long-term %TWL. Due to this hierarchical structure of the data (%TWL at each visit = level 1) within patients (level 2), a multilevel linear regression adjusted for age, sex, preoperative BMI and comorbidities was used. RESULTS: Among the medical records of 435 consecutive patients included, 266 patients underwent LRYGB and 169 underwent LSG. The average %TWL at 2 years was 31.7% for the LRYGB group and 25.8% for the LSG group. The final multivariate model showed that, compared with LRYGB, LSG was associated with a decreased %TWL at over 2 years of follow-up (ß: -4.01; CI95%: -5.47 à -2.54; p ≤ 0.001). CONCLUSION: This observational study suggests that compared with LRYGB, LSG was associated with a decreased %TWL at 2 years using a multilevel model. Further studies are required to confirm the results observed with this statistical model.
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BACKGROUND: In cancer net survival analyses, if life tables (LT) are not stratified based on socio-demographic characteristics, then the social gradient in mortality in the general population is ignored. Consequently, the social gradient estimated on cancer-related excess mortality might be inaccurate. We aimed to evaluate whether the social gradient in cancer net survival observed in France could be attributable to inaccurate LT. METHODS: Deprivation-specific LT were simulated, applying the social gradient in the background mortality due to external sources to the original French LT. Cancer registries' data from a previous French study were re-analyzed using the simulated LT. Deprivation was assessed according to the European Deprivation Index (EDI). Net survival was estimated by the Pohar-Perme method and flexible excess mortality hazard models by using multidimensional penalized splines. RESULTS: A reduction in net survival among patients living in the most-deprived areas was attenuated with simulated LT, but trends in the social gradient remained, except for prostate cancer, for which the social gradient reversed. Flexible modelling additionally showed a loss of effect of EDI upon the excess mortality hazard of esophagus, bladder and kidney cancers in men and bladder cancer in women using simulated LT. CONCLUSIONS: For most cancers the results were similar using simulated LT. However, inconsistent results, particularly for prostate cancer, highlight the need for deprivation-specific LT in order to produce accurate results.
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Background: The effects of socio-economic status on mortality in patients with multiple sclerosis is not well known. The objective was to examine mortality due to multiple sclerosis according to socio-economic status. Methods: A retrospective observational cohort design was used with recruitment from 18 French multiple sclerosis expert centers participating in the Observatoire Français de la Sclérose en Plaques. All patients lived in metropolitan France and had a definite or probable diagnosis of multiple sclerosis according to either Poser or McDonald criteria with an onset of disease between 1960 and 2015. Initial phenotype was either relapsing-onset or primary progressive onset. Vital status was updated on January 1st 2016. Socio-economic status was measured by an ecological index, the European Deprivation Index and was attributed to each patient according to their home address. Excess death rates were studied according to socio-economic status using additive excess hazard models with multidimensional penalised splines. The initial hypothesis was a potential socio-economic gradient in excess mortality. Findings: A total of 34,169 multiple sclerosis patients were included (88% relapsing onset (n = 30,083), 12% progressive onset (n = 4086)), female/male sex ratio 2.7 for relapsing-onset and 1.3 for progressive-onset). Mean age at disease onset was 31.6 (SD = 9.8) for relapsing-onset and 42.7 (SD = 10.8) for progressive-onset. At the end of follow-up, 1849 patients had died (4.4% for relapsing-onset (n = 1311) and 13.2% for progressive-onset (n = 538)). A socio-economic gradient was found for relapsing-onset patients; more deprived patients had a greater excess death rate. At thirty years of disease duration and a year of onset of symptoms of 1980, survival probability difference (or deprivation gap) between less deprived relapsing-onset patients (EDI = -6) and more deprived relapsing-onset patients (EDI = 12) was 16.6% (95% confidence interval (CI) [10.3%-22.9%]) for men and 12.3% (95%CI [7.6%-17.0%]) for women. No clear socio-economic mortality gradient was found in progressive-onset patients. Interpretation: Socio-economic status was associated with mortality due to multiple sclerosis in relapsing-onset patients. Improvements in overall care of more socio-economically deprived patients with multiple sclerosis could help reduce these socio-economic inequalities in multiple sclerosis-related mortality. Funding: This study was funded by the ARSEP foundation "Fondation pour l'aide à la recherche sur la Sclérose en Plaques" (Grant Reference Number 1122). Data collection has been supported by a grant provided by the French State and handled by the "Agence Nationale de la Recherche," within the framework of the "Investments for the Future" programme, under the reference ANR-10-COHO-002, Observatoire Français de la Sclérose en Plaques (OFSEP).
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BACKGROUND: The relationship between socioeconomic status (SES) and mortality among persons with multiple sclerosis (PwMS) is poorly understood. OBJECTIVE: To investigate the association between SES and mortality risk in PwMS. METHODS: From health-administrative data, we identified 12,126 incident MS cases with a first demyelinating event (MS 'onset') occurring between 1994 and 2017. Cox proportional hazard model assessed the association between socioeconomic status quintiles (SES-Qs) at MS onset and all-cause mortality. RESULTS: Lower SES-Qs were associated with higher mortality risk; adjusted hazard ratios: SES-Q1 (most deprived) =1.61 (95% confidence interval (CI) = 1.36-1.91); SES-Q2 = 1.26 (95% CI = 1.05-1.50); SES-Q3 = 1.22 (95% CI = 1.02-1.46); SES-Q4 = 1.13 (95% CI = 0.94-1.35) versus SES-Q5 (least deprived). CONCLUSION: A lower SES was associated with higher mortality risk in PwMS.
Subject(s)
Low Socioeconomic Status , Multiple Sclerosis , Humans , Social Class , Proportional Hazards ModelsABSTRACT
Background: In order to tackle social inequalities in mortality, it is crucial to quantify them. We produced French deprivation-specific life tables for the period 2016-2018 to measure the social gradient in adult all-cause mortality. Methods: Data from the Permanent Demographic Sample (EDP) were used to provide population and death counts by age, sex and deprivation quintile. The European Deprivation Index (EDI), applied at a sub-municipal geographical level, was used as an ecological measure of deprivation. Smoothed mortality rates were calculated using a one-dimensional Poisson counts smoothing method with P-Splines. We calculated life expectancies by age, sex and deprivation quintile as well as interquartile mortality rate ratios (MRR). Results: At the age of 30, the difference in life expectancy between the most and least deprived groups amounted to 3.9 years in males and 2.2 years in females. In terms of relative mortality inequalities, the largest gaps between extreme deprivation groups were around age 55 for males (MRR = 2.22 [2.0; 2.46] at age 55), around age 50 in females (MRR = 1.77 [1.48; 2.1] at age 47), and there was a decrease or disappearance of the gaps in the very older adults. Conclusions: There is a strong social gradient in all-cause mortality in France for males and females. The methodology for building these deprivation-specific life tables is reproducible and could be used to monitor its development. The tables produced should contribute to improving studies on net survival inequalities for specific diseases by taking into account the pre-existing social gradient in all-cause mortality.
Subject(s)
Interior Design and Furnishings , Life Expectancy , Male , Female , Humans , Aged , Middle Aged , Adult , Life Tables , Socioeconomic Factors , France/epidemiologyABSTRACT
INTRODUCTION: The EMPACOL Project aims to investigate the link between healthcare professionals' (HCPs) empathy and the results of the curative treatment of non-metastatic colorectal cancer (CRC). METHODS AND ANALYSIS: EMPACOL will be an observational multicentric prospective longitudinal study. It will cover eight centres comprising patients with non-metastatic CRC, uncomplicated at diagnosis in two French areas covered by a cancer register over a 2-year period. As estimated by the two cancer registries, during the 2-year inclusion period, the number of cases of non-metastatic CRCs was approximately 480. With an estimated participation rate of about 50%, we expect around 250 patients will be included in this study. Based on the curative strategy, patients will be divided into three groups: group 1 (surgery alone), group 2 (surgery and adjuvant chemotherapy) and group 3 (neo-adjuvant therapy, surgery and adjuvant chemotherapy). The relationship between HCPs' empathy at the time of announcement and at the end of the strategy, quality of life (QoL) 1 year after the end of treatment and oncological outcomes after 5 years will be investigated. HCPs' empathy and QoL will be assessed using the patient-reported questionnaires, Consultation and Relational Empathy and European Organisation for Research and Treatment of Cancer Core Quality of Life Questionnaire, respectively. A relationship between HCPs' empathy and early outcomes, particularly digestive and genitourinary sequelae, will also be studied for each treatment group. Post-treatment complications will be assessed using the Clavien-Dindo classification. Patients' anxiety and depression will also be assessed using the Hospital Anxiety and Depression Scale questionnaire. ETHICS AND DISSEMINATION: The Institutional Review Board of the University Hospital of Caen and the Ethics Committee (ID RCB: 2022-A00628-35) have approved the study. Patients will be required to provide oral consent for participation. Results of this study will be disseminated by publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT05447611.
Subject(s)
Colorectal Neoplasms , Empathy , Humans , Colorectal Neoplasms/therapy , Ethics Committees, Research , France/epidemiology , Longitudinal Studies , Prospective Studies , Quality of Life , Observational Studies as Topic , Multicenter Studies as TopicABSTRACT
Background: Due to its prevalence, gallstone disease is a major public health issue. It affects diverse patient populations across various socioeconomic levels. Socioeconomic and geographic deprivation may impact both morbidity and mortality associated with digestive diseases, such as biliary tract disease. Aim: The aim of this systematic review was to review the available data on the impact of socioeconomic determinants and geographic factors on gallstone disease and its complications. Methods: This systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The MEDLINE and Web of Science databases were searched by two investigators to retrieve studies about the impact of income, insurance status, hospital status, education level, living areas, and deprivation indices on gallstone disease. Thirty-seven studies were selected for this review. Results: Socially disadvantaged populations appear to be more frequently affected by complicated or severe forms of gallstone disease. The prognosis of biliary tract disease is poor in these populations regardless of patient status, and increased morbidity and mortality were observed for acute cholangitis or subsequent cholecystectomy. Limited or delayed access and low-quality therapeutic interventions could be among the potential causes for this poor prognosis. Conclusions: This systematic review suggests that socioeconomic determinants impact the management of gallstone disease. Enhanced knowledge of these parameters could contribute to improved public health policies to manage these diseases.
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Few studies have evaluated the association between non-clinical and clinical determinants in terms of discontinuing follow-up after bariatric surgery. This cohort study aims to assess these associations. Data were collected from a prospectively maintained database of patients who underwent laparoscopic bariatric surgery from January 2012 to December 2019. The Cox model was used to assess the influence of preoperative determinants on follow-up interruptions for more than one year. Multilevel logistic regression was used to evaluate the association between clinical factors and post-operative weight loss with the regularity of follow-up. During the study period, 9607 consultations were performed on 1549 patients. The factors associated with a follow-up interruption from more than 365 days included male gender (HR = 1.323; CI = 1.146−1.527; p = 0.001) and more recent years of intervention (HR = 1.043; CI = 1.012−1.076; p = 0.0068). Revisional bariatric surgery was associated with a lower risk of follow-up interruption (HR = 0.753; CI = 0.619−0.916; p = 0.0045). Independent risk factors of an irregular follow up were higher age (HR = 1.01; CI = 1.002−1.017; p = 0.0086); male gender (OR = 1.272; CI = 1.047−1.545; p = 0.0153); and higher %TWL (Total Weight Loss) (OR = 1.040 CI = 1.033−1.048 p < 0.0001). A higher preoperative BMI (OR = 0.985; CI = 0.972−0.998; p = 0.0263) and revisional surgery (OR = 0.707; CI = 0.543−0.922; p = 0.0106) were protective factors of irregularity. This study suggests that the male gender and most recent dates of surgery are the two independent risk factors for follow-up interruption. Older age, male gender, and higher weight loss were all independent risk factors of an irregular follow-up. Revision bariatric surgery is a protective factor against interruption and irregular follow-up with a higher preoperative BMI. Further studies are needed to obtain long-term results in these patients with discontinued follow-ups.
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BACKGROUND: Breast cancer is the leading cancer in women in France both in incidence and mortality. Organized breast cancer screening (OBCS) has been implemented nationwide since 2004, but the participation rate remains low (48%) and inequalities in participation have been reported. Facilities such as mobile mammography units could be effective to increase participation in OBCS and reduce inequalities, especially areas underserved in screening. Our main objective is to evaluate the impact of a mobile unit and to establish how it could be used to tackle territorial inequalities in OBCS participation. METHODS: A collaborative project will be conducted as a randomized controlled cluster trial in 2022-2024 in remote areas of four French departments. Small geographic areas were constructed by clustering women eligible to OBCS, according to distance to the nearest radiology centre, until an expected sample of eligible women was attained, as determined by logistic and financial constraints. Intervention areas were then selected by randomization in parallel groups. The main intervention is to propose an appointment at the mobile unit in addition to current OBCS in these remote areas according to the principle of proportionate universalism. A few weeks before the intervention, OBCS will be promoted with a specific information campaign and corresponding tools, applying the principle of multilevel, intersectoral and community empowerment to tackle inequalities. DISCUSSION: This randomized controlled trial will provide a high level of evidence in assessing the effects of mobile unit on participation and inequalities. Contextual factors impacting the intervention will be a key focus in this evaluation. Quantitative analyses will be complemented by qualitative analyses to investigate the causal mechanisms affecting the effectiveness of the intervention and to establish how the findings can be applied at national level. TRIAL REGISTRATION: Registered on ClinicalTrials.gov, December 21, 2021: NCT05164874 .
Subject(s)
Breast Neoplasms , Population Health , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/prevention & control , Early Detection of Cancer , Female , Humans , Mammography , Mass Screening/methods , Mobile Health Units , Randomized Controlled Trials as TopicABSTRACT
Population-based studies provide the opportunity to assess the real-world applicability of current clinical practices. The present research evaluated the survival outcomes of different therapeutic strategies for colorectal cancer (CRC) with synchronous metastasis (SM). The differential impact of treatment sequence, viz. whether chemotherapy (CT) or primary tumor resection (PTR) was performed first, was also evaluated. METHODS: All CRC cases with SM diagnosed between 2006 and 2016 (N = 3062) were selected from two specialized digestive cancer registries from northwest France. Cox regression analysis was used to assess survival. Multivariable logistic regression was used to examine factors related to the combination of PTR and CT. RESULTS: The longest survival was observed in patients treated by PTR combined with CT (Group 4; N = 1159). Overall survival was 51.80% at one year (95% Confidence Interval (CI) 50.00-53.60%) and 9.40% at five years (95% CI, 8.30-10.60%). Survival did not differ with respect to the order of treatment in multivariable analysis (hazard ratio, 1.05; 95% CI, 0.88-1.24; p = 0.55). CONCLUSION: Regardless of the sequence of treatment, a PTR + CT offered the best survival in patients with CRC and SM, even though few were eligible for combination therapy (38%).
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PURPOSE: Few studies have evaluated the association between non-clinical determinants (socioeconomic status and geographic accessibility to healthcare) and the outcomes of bariatric surgery, with conflicting results. This study aimed to evaluate this association. METHODS: The medical records of 1599 consecutive patients who underwent either laparoscopic Roux-en-Y gastric bypass or laparoscopic sleeve gastrectomy between June 2005 and December 2017 were retrieved. All relevant data, including patient characteristics, biometric values before and after surgery, related medical problems, surgical history, medications, and habitus, for each patient were prospectively collected in a database. Logistic regressions were used to assess the influence of non-clinical determinants on surgical indications and complications. Multilevel linear or logistic regression was used to evaluate the influence of non-clinical determinants on long-term %TWL and the probability to achieve adequate weight loss (defined as a %TWL > 20% at 12 months). RESULTS: Analysis of the 1599 medical records revealed that most geographically isolated patients were more likely to have undergone laparoscopic Roux-en-Y gastric bypass (odds ratio: 0.97; 95% confidence interval: 0.94 to 0.99; P = 0.018) and had a greater likelihood of adequate weight loss (ß: 0.03; 95% CI: 0.01 to 0.05; P = 0.021). Conversely, socioeconomic status (measured by the European Deprivation Index) did not affect outcomes following bariatric surgery. CONCLUSION: Geographical health isolation is associated with a higher probability to achieve adequate weight loss after 1 year of follow-up, while neither health isolation nor socioeconomic deprivation is associated with post-operative mortality and morbidity. This results suggests that bariatric surgery is a safe and effective tool for weight loss despite socioeconomic deprivation.
Subject(s)
Bariatric Surgery , Gastric Bypass , Laparoscopy , Obesity, Morbid , Gastrectomy/methods , Gastric Bypass/methods , Humans , Laparoscopy/methods , Obesity, Morbid/surgery , Referral and Consultation , Retrospective Studies , Socioeconomic Factors , Treatment Outcome , Weight LossABSTRACT
Most ecological indices of deprivation are constructed from census data at the national level, which raises questions about the relevance of their use, and their comparability across a country. We aimed to determine whether a national index can account for deprivation regardless of location characteristics. In Metropolitan France, 43,853 residential census block groups (IRIS) were divided into eight area types based on quality of life. We calculated score deprivation for each IRIS using the French version of the European Deprivation Index (F-EDI). We decomposed the score by calculating the contribution of each of its components by area type, and we assessed the impact of removing each component and recalculating the weights on the identification of deprived IRIS. The set of components most contributing to the score changed according to the area type, but the identification of deprived IRIS remained stable regardless of the component removed for recalculating the score. Not all components of the F-EDI are markers of deprivation according to location characteristics, but the multidimensional nature of the index ensures its robustness. Further research is needed to examine the limitations of using these indices depending on the purpose of the study, particularly in relation to the geographical grid used to calculate deprivation scores.