Missed diagnosis-a major barrier to patient access to obesity healthcare in the primary care setting.

OBJECTIVE: To investigate whether individuals with an elevated BMI measurement, for whom a diagnosis of overweight or obesity (OW/OB) is not recorded, are less likely to be offered clinical care for obesity compared to those with a recorded diagnosis. SUBJECTS: A retrospective cohort study using the electronic medical record database of Maccabi Healthcare Services (MHS) in Israel. Included were 200,000 adults with BMI ≥ 25 kg/m2 measurement recorded during a primary care visit between 2014 and 2020, and no prior diagnosis of OW/OB or related co-morbidities. METHODS: The relationships between a recorded diagnosis of OW/OB and two composite outcomes: 1. A composite of referrals to screening tests for metabolic complications; 2. A composite of weight loss intervention and follow up, were analyzed using multivariate logistic regression models. RESULTS: In only 18% of individuals, a diagnosis of OW/OB was recorded. After adjusting for multiple potential confounding factors, individuals who received a recorded diagnosis were 18% more likely to be offered an evaluation for obesity-related metabolic complication, (OR 1.18, 95% CI 1.15-1.21, p < 0.001), and almost twice as likely to be offered intervention and follow up for their excess body weight (OR 1.84, 95% CI 1.76-1.94, p < 0.001) compared to individuals with missed diagnosis. These results persisted after adjusting for inter-physician variability. In addition, male sex, older age, and Arab sector were all associated with lower rates of weight loss intervention and follow up, while young individuals were less likely to be screened for metabolic complications. CONCLUSION: Beyond BMI measurement, a recorded diagnosis of OW/OB is associated with statistically and clinically significant higher rates of performance of obesity care and intervention. Undiagnosed OW/OB presents a significant clinical opportunity, as recording a diagnosis of OW/OB would predict improved patient access to obesity healthcare and improved clinical outcomes.

Adolescent overweight and obesity and the risk for pancreatic cancer among men and women: a nationwide study of 1.79 million Israeli adolescents.

BACKGROUND: There is growing concern regarding the impact of adolescent obesity on adult health. The objective of this study was to evaluate the association between body mass index (BMI) in late adolescence and the incidence of pancreatic cancer during adulthood. METHODS: The authors analyzed a cohort of 1087,358 Israeli Jewish men and 707,212 Jewish women who underwent a compulsory physical examination between ages 16 and 19 years from 1967 to 2002. Pancreatic cancer incidence through December 31, 2012 was identified by linkage to the national cancer registry. Multivariable-adjusted Cox regression was used to estimate hazard ratios (HRs) for pancreatic cancer according to the US Centers for Disease Control and Prevention (CDC) BMI percentiles at baseline. RESULTS: Over a median 23 year follow-up, 551 incident cases of pancreatic cancer cases occurred (423 men; 128 women). Compared with normal weight (5th to-<85th percentile), obesity (≥95th percentile) was associated with an increased risk of cancer among both men (HR, 3.67; 95% confidence interval [CI], 2.52-5.34) and women (HR, 4.07; 95% CI, 1.78-9.29). Among men, compared with low-normal BMI (≥5th to <25th percentile), high-normal BMI (≥75th to <85th percentile) and overweight (85th to 95th percentile) also were associated with a higher risk for cancer(high-normal BMI: HR, 1.49; 95% CI, 1.05-2.13; overweight: HR, 1.97; 95% CI, 1.39-2.80). The estimated population-attributable fraction because of overweight and obesity was 10.9% (95% CI, 6.1%-15.6%). CONCLUSIONS: Men and women who were obese or overweight as adolescents are at an increased risk for subsequent pancreatic cancer.

Risk of advanced lesions at the first follow-up colonoscopy after polypectomy of diminutive versus small adenomatous polyps of low-grade dysplasia.

BACKGROUND AND AIMS: The current guidelines for surveillance after polypectomy do not distinguish between diminutive (1-5 mm) and small (6-9 mm) polyps with low-grade dysplasia (LGD). We aimed to evaluate the risk for advanced neoplasia on follow-up colonoscopy. METHODS: We retrospectively analyzed 443 patients whose worst finding at index colonoscopy was polypectomy of 1 to 5 or 6 to 9 mm polyps with LGD and those who underwent a follow-up colonoscopy. RESULTS: During a mean follow-up of 32.0 months (interquartile range 13-48 months), advanced neoplasia was found in 26 patients (5.9%). Among all included patients (n = 443), advanced neoplasia was found in 13 of 310 patients (4.2%) of the 1- to 5-mm group versus 13 of 133 patients (9.8%) of the 6- to 9-mm group (hazard ratio [HR], 3.49; 95% confidence interval [CI], 1.6-7.6). Among the patients with 1 to 2 polyps resected (n = 313), advanced neoplasia was found in 8 of 231 patients (3.5%) of the 1- to 5-mm group versus 8 of 82 patients (9.8%) of the 6- to 9-mm group (HR 3.97; 95% CI, 1.47-10.7). Among the patients with ≥3 polyps resected (n = 130), advanced neoplasia was found in 5 of 79 patients (6.3%) of the 1- to 5-mm group versus 5 of 51 patients (9.8%) of the 6- to 9-mm group (HR 2.4; 95% CI, 0.7-8.36). Fair bowel preparation also was associated with the risk for advanced neoplasia at follow-up (HR 3.87, 95% CI, 1.70-8.82). CONCLUSIONS: Our findings suggest that among patients with up to 9-mm adenomatous polyps, a polyp size of 6 to 9 mm, >2 polyps, and fair bowel preparation are associated with advanced neoplasia.

Racial/ethnic and socioeconomic disparities in colorectal cancer screening in a large organization with universal insurance before and during the coronavirus disease 2019 pandemic.

OBJECTIVES: Israel is regarded as a country with a developed economy and a moderate income inequality index. In this population-based study, we aimed to measure the inequalities in colorectal cancer screening within Clalit Health, an organization with universal insurance, before and during the coronavirus disease 2019 pandemic. SETTING: Retrospective analysis within Clalit Health Services, Israel. METHODS: We evaluated the rate of being up to date with screening (having a colonoscopy within 10 years or a fecal occult blood test within 1 year) and the colonoscopy completion rate (having a colonoscopy within 6 months of a positive fecal occult blood test) among subjects aged 50-75 in 2019-2021. RESULTS: In 2019, out of 918,135 subjects, 61.3% were up to date with screening; high socioeconomic status: 65.9% (referent), medium-socioeconomic status: 60.1% (odds ratio 0.81, 95% confidence interval 0.80-0.82), low-socioeconomic status: 59.0% (odds ratio 0.75, 95% confidence interval 0.74-0.75); Jews: 61.9% (referent), Arabs: 59.7% (odds ratio 0.91, 95% confidence interval 0.90-0.92), Ultraorthodox-Jews: 51.7% (odds ratio 0.77, 95% confidence interval 0.75-0.78). Out of 21,308 with a positive fecal occult blood test, the colonoscopy completion rate was 51.8%; high-socioeconomic status: 59.8% (referent), medium-socioeconomic status: 54.1% (odds ratio 0.79, 95% confidence interval 0.73-0.86), low-socioeconomic status: 45.5% (odds ratio 0.60, 95% confidence interval 0.56-0.65); Jews: 54.7% (referent), Ultraorthodox-Jews: 51.4% (odds ratio 0.91, 95% confidence interval 0.90-0.92), Arabs: 44.7% (odds ratio 0.77, 95% confidence interval 0.75-0.78). In 2020-2021, there was a slight drop in the rate of being up to date with screening, while most of the discrepancies were kept or slightly increased with time. CONCLUSIONS: We report significant inequalities in colorectal cancer screening before and during the coronavirus disease 2019 pandemic in Israel, despite a declared policy of equality and universal insurance.

The use of artificial intelligence to identify subjects with a positive FOBT predicted to be non-compliant with both colonoscopy and harbor cancer.

BACKGROUND: Subjects with a positive Fecal Occult Blood Test (FOBT) that are non-compliant with colonoscopy are at increased risk for colorectal cancer (CRC). Yet, in clinical practice, many remain non-compliant. AIMS: To evaluate whether machine learning models (ML) can identify subjects with a positive FOBT predicted to be both non-compliant with colonoscopy within six months and harbor CRC (defined as the "target population"). METHODS: We trained and validated ML models based on extensive administrative and laboratory data about subjects with a positive FOBT between 2011 and 2013 within Clalit Health that were followed for cancer diagnosis up to 2018. RESULTS: Out of 25,219 included subjects, 9,979(39.6%) were non-compliant with colonoscopy, and 202(0.8%) were both non-compliant and harbored cancer. Using ML, we reduced the number of subjects needed to engage from 25,219 to either 971 (3.85%) to identify 25.8%(52/202) of the target population, reducing the number needed to treat (NNT) from 124.8 to 19.4 or to 4,010(15,8%) to identify 55.0%(52/202) of the target population, NNT = 39.7. CONCLUSION: Machine learning technology may help healthcare organizations to identify subjects with a positive FOBT predicted to be both non-compliant with colonoscopy and harbor cancer from the first day of a positive FOBT with improved efficiency.