Integrating multiple observational studies to make unconfounded causal or descriptive comparisons of group potential outcomes in a large natural population is challenging. Moreover, retrospective cohorts, being convenience samples, are usually unrepresentative of the natural population of interest and have groups with unbalanced covariates. We propose a general covariate-balancing framework based on pseudo-populations that extends established weighting methods to the meta-analysis of multiple retrospective cohorts with multiple groups. Additionally, by maximizing the effective sample sizes of the cohorts, we propose a FLEXible, Optimized, and Realistic (FLEXOR) weighting method appropriate for integrative analyses. We develop new weighted estimators for unconfounded inferences on wide-ranging population-level features and estimands relevant to group comparisons of quantitative, categorical, or multivariate outcomes. Asymptotic properties of these estimators are examined. Through simulation studies and meta-analyses of TCGA datasets, we demonstrate the versatility and reliability of the proposed weighting strategy, especially for the FLEXOR pseudo-population.

BACKGROUND: Poor quality of sleep is a widespread issue in modern society, and even children are being diagnosed with sleep disorders nowadays. Sleep disruption in children can lead to poor mental health in the long term. The present study aimed to evaluate the association between sleep disorders and subsequent depression in children and adolescents.
METHODS: This retrospective cohort study used electronic medical records from the IQVIATM Disease Analyzer database. It included children and adolescents aged 6-16 with an initial diagnosis of a sleep disorder and age- and gender-matched patients without sleep disorders treated by one of 274 office-based pediatricians in Germany between January 2010 and December 2022. The five-year cumulative incidence of depression in the cohorts with and without sleep disorders was studied with Kaplan-Meier curves using the log-rank test. Multivariable Cox regression analyses were used to assess the association between sleep disorders and depression.
RESULTS: The present study included 10,466 children and adolescents with and 52,330 without sleep disorder diagnosis (mean age 10 ± 3 years, 48% female). Within five years after the index date, 5% of sleep disorder patients and 2% of the matched non-sleep disorder cohort had been diagnosed with depression. A strong and significant association was observed between sleep disorders and subsequent depression (HR: 2.34; 95% CI: 2.09-2.63). This association was stronger in adolescents (HR: 3.78; 95% CI: 3.13-4.56) than in children. Upon the exclusion of depression diagnoses in the first year after the index date, the association between sleep disorders and depression remained strong and significant (HR: 1.92; 95% CI: 1.68-2.19).
CONCLUSIONS: This study indicates a strong and significant association between sleep disorders and depression.

OBJECTIVE: Is there an elevated risk of cyanotic congenital heart defects (CCHD) among livebirths following infertility treatments?
CONCLUSIONS: In this population-based study of single livebirths, infertility treatment (either ART or non-ART) was associated with a higher prevalence of CCHD among livebirths.
BACKGROUND: The use of infertility treatment has been on the rise over the past few decades. However, there are limited studies assessing the risk of major cardiac defects following infertility treatments.
METHODS: A retrospective cohort study of livebirth data from the National Vital Statistics System (NVSS) was conducted, comprising of 9.6 million singleton livebirths among first-time mothers aged 15-49 years from 2016 to 2022.
METHODS: Information on infertility treatment use and CCHD was obtained from the health and medical information section of birth certificates, which was completed by healthcare staff after reviewing medical records. Logistic regression models were used to estimate odds ratios (OR) and 95% CI. Entropy balancing weighting analysis and probabilistic bias analysis were also performed.
RESULTS: The proportion of births following infertility treatment increased from 1.9% (27 116) to 3.1% (43 510) during the study period. Overall, there were 5287 cases of CCHD resulting in a prevalence of 0.6 per 1000 livebirths. The prevalence was 1.2 per 1000 live births among infertility treatment users (ART: 1.1 per 1000 livebirths; non-ART: 1.3 per 1000 livebirths) while that for naturally conceived births was 0.5 per 1000 livebirths. Compared to naturally conceived births, the use of any infertility treatment (OR: 2.06, 95% CI: 1.82-2.33), either ART (OR: 2.02, 95% CI: 1.73-2.36) or other infertility treatments (OR: 2.12, 95% CI: 1.74-2.33), was associated with higher odds of CCHD after adjusting for maternal and paternal age, race and ethnicity, and education, as well as maternal nativity, marital status, source of payment, smoking status, and pre-pregnancy measures of BMI, hypertension and diabetes. This association did not differ by the type of infertility treatment (ART versus other infertility treatments) (OR: 1.04, 95% CI: 0.82-1.33, P = 0.712), and was robust to the presence of exposure and outcome misclassification bias and residual confounding.
CONCLUSIONS: The findings are only limited to livebirths. We did not have the capacity to examine termination data, but differential termination by mode of conception has not been supported by previous studies designed to consider it. Infertility treatment use was self-reported, leading to the potential for selection bias and misclassification for infertility treatment and CCHD. However, the association persisted when systematic bias as well as exposure and outcome misclassification bias were accounted for in the analyses. Information on the underlying etiology of infertility relating to either maternal, paternal, or both factors, data on specific types of ART and other infertility treatments, as well as information on subtypes of CCHD, were all not available.
CONCLUSIONS: In light of the increasing trend in the use of infertility treatment in the USA, and elsewhere, the finding of the current study holds significant importance for the clinical and public health of reproductive-aged individuals. The data show that the use of infertility treatment may expose offspring to elevated odds of severe congenital heart defects such as CCHD studied here. These findings cannot be interpreted causally. While our findings can assist in preconception counseling and prenatal care for pregnancies conceived by either ART or other infertility treatments, they also support some current recommendations that pregnancies resulting from infertility treatments undergo fetal echocardiography screening.
BACKGROUND: No funding was sought for the study. The authors declare that they have no conflict of interest.
BACKGROUND: N/A.

UNASSIGNED: We aimed to evaluate the generalizability of retrospective single-center cohort studies on prognosis of hepatocellular carcinoma (HCC) by comparing overall survival (OS) after various treatments between a nationwide multicenter cohort and a single-center cohort of HCC patients.
UNASSIGNED: Patients newly diagnosed with HCC between January 2008 and December 2018 were analyzed using data from the Korean Primary Liver Cancer Registry (multicenter cohort, n=16,443), and the Asan Medical Center HCC registry (single-center cohort, n=15,655). The primary outcome, OS after initial treatment, was compared between the two cohorts for both the entire population and for subcohorts with Child-Pugh A liver function (n=2797 and n=5151, respectively) treated according to the Barcelona-Clinic-Liver-Cancer (BCLC) strategy, using Log rank test and Cox proportional hazard models.
UNASSIGNED: Patients of BCLC stages 0 and A (59.3% vs 35.2%) and patients who received curative treatment (42.1% vs 32.1%) were more frequently observed in the single-center cohort (Ps<0.001). Multivariable analysis revealed significant differences between the two cohorts in OS according to type of treatment: the multicenter cohort was associated with higher risk of mortality among patients who received curative (adjusted hazard ratio [95% confidence interval], 1.48 [1.39-1.59]) and non-curative (1.22 [1.17-1.27]) treatments, whereas the risk was lower in patients treated with systemic therapy (0.83 [0.74-0.92]) and best supportive care (0.85 [0.79-0.91]). Subcohort analysis also demonstrated significantly different OS between the two cohorts, with a higher risk of mortality in multicenter cohort patients who received chemoembolization (1.72 [1.48-2.00]) and ablation (1.44 [1.08-1.92]).
UNASSIGNED: Comparisons of single-center and multicenter cohorts of HCC patients revealed significant differences in OS according to treatment modality after adjustment for prognostic variables. Therefore, the results of retrospective single-center cohort studies of HCC treatments may not be generalizable to real-world practice.

BACKGROUND: Starting in 2010, the epidermal growth factor receptor (EGFR) kinase inhibitors erlotinib and gefitinib were introduced into routine use in Aotearoa New Zealand (NZ) for treating advanced lung cancer, but their impact in this setting is unknown.
OBJECTIVE: The study described in this protocol aims to understand the effectiveness and safety of these new personalized lung cancer treatments and the contributions made by concomitant medicines and other factors to adverse outcomes in the general NZ patient population. A substudy aimed to validate national electronic health databases as the data source and the methods for determining patient eligibility and identifying outcomes and variables.
METHODS: This study will include all NZ patients with advanced EGFR mutation-positive lung cancer who were first dispensed erlotinib or gefitinib before October 1, 2020, and followed until death or for at least 1 year. Routinely collected health administrative and clinical data will be collated from national electronic cancer registration, hospital discharge, mortality registration, and pharmaceutical dispensing databases by deterministic data linkage using National Health Index numbers. The primary effectiveness and safety outcomes will be time to treatment discontinuation and serious adverse events, respectively. The primary variable will be high-risk concomitant medicines use with erlotinib or gefitinib. For the validation substudy (n=100), data from clinical records were compared to those from national electronic health databases and analyzed by agreement analysis for categorical data and by paired 2-tailed t tests for numerical data.
RESULTS: In the validation substudy, national electronic health databases and clinical records agreed in determining patient eligibility and for identifying serious adverse events, high-risk concomitant medicines use, and other categorical data with overall agreement and κ statistic of >90% and >0.8000, respectively; for example, for the determination of patient eligibility, the comparison of proxy and standard eligibility criteria applied to national electronic health databases and clinical records, respectively, showed overall agreement and κ statistic of 96% and 0.8936, respectively. Dates for estimating time to treatment discontinuation and other numerical variables and outcomes showed small differences, mostly with nonsignificant P values and 95% CIs overlapping with zero difference; for example, for the dates of the first dispensing of erlotinib or gefitinib, national electronic health databases and clinical records differed on average by approximately 4 days with a nonsignificant P value of .33 and 95% CIs overlapping with zero difference. As of May 2024, the main study is ongoing.
CONCLUSIONS: A protocol is presented for a national whole-of-patient-population retrospective cohort study designed to describe the safety and effectiveness of erlotinib and gefitinib during their first decade of routine use in NZ for treating EGFR mutation-positive lung cancer. The validation substudy demonstrated the feasibility and validity of using national electronic health databases and the methods for determining patient eligibility and identifying the study outcomes and variables proposed in the study protocol.
BACKGROUND: Australian New Zealand Clinical Trials Registry ACTRN12615000998549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368928.
UNASSIGNED: DERR1-10.2196/51381.

UNASSIGNED: Guidelines generally recommend a combination of immunological assays and chest X-ray imaging (CXR) when screening for latent tuberculosis infection (LTBI) prior to biologic treatment in inflammatory bowel disease (IBD).
UNASSIGNED: To investigate whether CXR identify patients with suspected LTBI/TB who were not identified with QuantiFERON tests (QFT) when screening for LTBI/TB before starting biologic treatment in IBD patients.
UNASSIGNED: Single-center, retrospective cohort study of patients with inflammatory bowel disease who had a QFT and a CXR prior to initiation of biologic treatment in a 5-year period (October 1st, 2017 to September 30th, 2022).
UNASSIGNED: 520 patients (56% female, mean age 40.1 years) were included. The majority had none or few risk factors for TB (as reflected by the demographic characteristics) but some risk factors for having false negative QFT results (concurrent glucocorticoid treatment and inflammatory activity). QFT results were positive in 8 patients (1.5%), inconclusive in 18 (3.5%) and negative in 494 (95.0%). Only 1 patient (0.19%) had CXR findings suspicious of LTBI. This patient also had a positive QFT and was subsequently diagnosed with active TB. All patients with negative or inconclusive QFT had CXR without any findings suggesting LTBI/TB. One patient developed active TB after having initiated biologic treatment in spite of having negative QFT and a normal CXR at screening.
UNASSIGNED: In a population with low risk of TB, the benefits of supplementing the QFT with a CXR are limited and are unlikely to outweigh the cost in both patient test-burden, radioactive exposure, and economic resources.

UNASSIGNED: To investigate the risk of atrial fibrillation (AF) with sodium-glucose cotransporter-2 inhibitors (SGLT2is) compared to dipeptidyl peptidase-4 inhibitor (DPP4i) use in older US adults and across diverse subgroups.
UNASSIGNED: We conducted a retrospective cohort analysis using claims data from 15% random samples of Medicare fee-for-service beneficiaries. Patients were adults with type 2 diabetes (T2D), no preexisting AF, and were newly initiated on SGLT2i or DPP4i. The outcome was the first incident AF. Inverse probability treatment weighting (IPTW) was used to balance the baseline covariates between the treatment groups including sociodemographics, comorbidities, and co-medications. Cox regression models were used to assess the effect of SGLT2i compared to DPP4i on incident AF.
UNASSIGNED: Of the 97,436 eligible individuals (mean age 71.2 ± 9.8 years, 54.6% women), 1.01% (n = 983) had incident AF over a median follow-up of 361 days. The adjusted incidence rate was 8.39 (95% CI: 6.67-9.99) and 11.70 (95% CI: 10.9-12.55) per 1,000 person-years in the SGLT2i and DPP4i groups, respectively. SGLT2is were associated with a significantly lower risk of incident AF (HR 0.73; 95% CI, 0.57 to 0.91; p = 0.01) than DPP4is. The risk reduction of incident AF was significant in non-Hispanic White individuals and subgroups with existing atherosclerotic cardiovascular diseases and chronic kidney disease.
UNASSIGNED: Compared to the use of DPP4i, that of SGLT2i was associated with a lower risk of AF in patients with T2D. Our findings contribute to the real-world evidence regarding the effectiveness of SGLT2i in preventing AF and support a tailored therapeutic approach to optimize treatment selection based on individual characteristics.

BACKGROUND: Luxembourg experienced major consecutive SARS-CoV-2 infection waves due to Omicron variants during 2022 while having achieved a high vaccination coverage in 2021. We investigated the risk factors associated to severe outcomes (i.e., hospitalisation, deaths) and estimated vaccine effectiveness (VE) as well as the role of immunity conferred by prior infections against severe outcomes in adults.
METHODS: We linked reported SARS-CoV-2 cases among residents aged ≥ 20 years with vaccination data and SARS-CoV-2 related hospitalisations and deaths. Cases were followed-up until day 14 for COVID-19 related hospital admission and up to day 28 for mortality after a positive test. We analysed the association between the vaccination status and severe forms using proportional Cox regression, adjusting for previous infection, age, sex and nursing homes residency. VE was measured as 1-adjusted hazard ratio of vaccinated vs unvaccinated individuals. The population preventable fraction was computed using the adjusted hazard ratio and the proportion of cases within the vaccination category.
RESULTS: Between December 2021, and March 2023, we recorded 187143 SARS-CoV-2 cases, 1728 (0.93%) hospitalizations and 611 (0.33%) deaths. The risk of severe outcomes increased with age, was higher among men and nursing home residents. Compared to unvaccinated adults, VE against hospitalization was 38.8% (95%CI: 28.1%-47.8%) for a complete primary cycle of vaccination, 62.1% (95%CI: 57.0%-66.7%) for one booster, and 71.6% (95%CI: 66.7%-76.2%) for two booster doses. VE against death was respectively 49.5% (95%CI: 30.8%-63.3%), 69.0% (95%CI: 61.2%-75.3%) and 76.2% (95%CI: 68.4%-82.2%). Previous infection was not associated with lower risk of hospitalisation or mortality. The vaccination lowered mortality by 55.8 % (95%CI: 46.3%-62.8%) and reduced hospital admissions by 49.1% (95%CI: 43.4%-54.4%).
CONCLUSIONS: Complete vaccination and booster but not previous infection were protective against hospitalization and death. The vaccination program in Luxembourg led to substantial reductions in SARS-CoV-2-related mortality and hospitalizations at the population level.

BACKGROUND: Neonatal abstinence syndrome (NAS), largely a consequence of prenatal opioid exposure, results in substantial morbidity. Population-based studies of NAS going beyond Medicaid populations and hospital discharge data (HDD) alone are limited. Using statewide Tennessee (TN) HDD and birth certificate (BC) data, we examined trends and evaluated maternal and infant factors associated with NAS.
METHODS: We conducted a population-based descriptive study during 2013-2017 in TN. NAS infants were identified with International Classification of Diseases (ICD)-9-Clinical Modification (CM) and ICD-10-CM codes in HDD and linked to BC data using iterative deterministic matching algorithms. Descriptive analyses were conducted for infant and maternal factors (exposures) by NAS (outcome). Multivariable logistic regression models were used to estimate adjusted ORs and 95% CIs.
RESULTS: NAS incidence increased from 13.4 to 15.4 per 1,000 live births between 2013-2017 (15% increase; ptrend<0.001), but remained stable in 2017. In adjusted models, maternal factors associated with reduced odds of NAS included breastfeeding (OR:0.55, 95%CI:0.52-0.59) and prenatal care (OR:0.36, 95%CI:0.32-0.41). Smoking, preterm birth and lower birthweight were associated with increased odds of NAS.
CONCLUSIONS: This study highlights the value of utilizing surveillance data to monitor trends and correlates of NAS to inform prevention efforts and targeting of public health resources.

This retrospective cohort study aimed to determine the prevalence of anemia among patients with gynecological cancer prior to any treatment and to identify contributing factors associated with anemia in this group. We retrospectively analyzed data from female patients aged 18 and above, diagnosed with various forms of gynecological cancer at The Affiliated Hospital of Southwest Medical University between February 2016 and March 2021. Anemia was assessed based on the most recent CBC results before any cancer treatment. Eligibility was based on a definitive histopathological diagnosis. Key variables included demographic details, clinical characteristics, and blood counts, focusing on hemoglobin levels. Statistical analysis was conducted using logistic regression models, and anemia was defined as hemoglobin levels below 12 g/dL for women, according to WHO criteria. Of the 320 participants, a significant prevalence of anemia was found. Correlations between anemia and factors like age, educational level, and biological markers (iron, folic acid, and vitamin B12 levels) were identified. In our study, we found that the prevalence of anemia among patients with gynecological cancer prior to any treatment was 59.06%, indicating a significant health concern within this population. The study highlights a significant prevalence of anemia in patients with gynecological cancer, emphasizing the need for regular hemoglobin screening and individualized management. These findings suggest the importance of considering various characteristics and clinical variables in anemia management among this patient group. Further studies are needed to explore the long-term effects of these factors on patient outcomes and to develop targeted interventions.