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Rheumatology (Oxford, England) Nov 2023To examine the effectiveness and drug tolerability of biological disease-modifying antirheumatic drugs (bDMARDs) and Janus kinase inhibitor (JAKi) monotherapy in...
OBJECTIVES
To examine the effectiveness and drug tolerability of biological disease-modifying antirheumatic drugs (bDMARDs) and Janus kinase inhibitor (JAKi) monotherapy in patients with rheumatoid arthritis (RA) in a multicentre cohort study.
METHODS
Patients with RA initiated with bDMARD/JAKi monotherapy without conventional synthetic DMARDs were included. Monotherapy regimens were categorised as interleukin-6 receptor inhibitors (IL-6Ri), cytotoxic T-lymphocyte-associated protein 4 immunoglobulin (CTLA4Ig), JAKi, or tumour necrosis factor inhibitors (TNFi). Multiple propensity score-based inverse probability weighting (IPW) was used to reduce selection bias. Linear mixed-effect models with IPW were used to examine changes in the disease activity score in 28 joints (DAS28)-erythrocyte sedimentation rate (ESR) at 24 weeks, and drug retention was compared among monotherapy using IPW Cox proportional hazards models.
RESULTS
A total of 849 treatment courses from 635 patients were included (IL-6Ri, 218; CTLA4Ig, 183; JAKi, 92; TNFi, 356). The difference in change in DAS28-ESR at week 24 as the primary outcome was -0.93 (95% CI: -1.20 to -0.66) lower in the IL-6Ri group than TNFi, while that of CTLA4Ig and JAKi was similar with that of TNFi (-0.20 [-0.48 to 0.08], -0.25 [-0.67 to 0.16], respectively). IL-6Ri use was associated with significantly lower overall drug discontinuation than TNFi use (hazard ratio = 0.55 [0.39-0.78], P = 0.001). Similar retention rates were identified among CTLA4Ig and JAKi compared to TNFi.
CONCLUSION
In the analysis with IPW to reduce selection bias, IL-6Ri monotherapy was superior to TNFi monotherapy in terms of effectiveness and drug retention. No significant differences were identified between CTLA4Ig, JAKi, and TNFi monotherapy.
PubMed: 37988163
DOI: 10.1093/rheumatology/kead620 -
Journal of the Royal Statistical... Oct 2023Governments and public health authorities use seroprevalence studies to guide responses to the COVID-19 pandemic. Seroprevalence surveys estimate the proportion of...
Governments and public health authorities use seroprevalence studies to guide responses to the COVID-19 pandemic. Seroprevalence surveys estimate the proportion of individuals who have detectable SARS-CoV-2 antibodies. However, serologic assays are prone to misclassification error, and non-probability sampling may induce selection bias. In this paper, non-parametric and parametric seroprevalence estimators are considered that address both challenges by leveraging validation data and assuming equal probabilities of sample inclusion within covariate-defined strata. Both estimators are shown to be consistent and asymptotically normal, and consistent variance estimators are derived. Simulation studies are presented comparing the estimators over a range of scenarios. The methods are used to estimate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence in New York City, Belgium, and North Carolina.
PubMed: 38145241
DOI: 10.1093/jrsssa/qnad068 -
Acta Paediatrica (Oslo, Norway : 1992) Aug 2023Evidence-based medicine has changed clinical practice by incorporating data from randomised controlled trials (RCTs). While some biases in RCTs are well recognised, we... (Review)
Review
Evidence-based medicine has changed clinical practice by incorporating data from randomised controlled trials (RCTs). While some biases in RCTs are well recognised, we discuss some less acknowledged. Selection bias may arise in the consent stage. Industry-funded studies more often report a positive outcome. Post-hoc changes of outcome measures and other mis-reporting lowers the reliability of outcome data. Finally, even the GRADE system retains subjectivity. CONCLUSION: Moving from "intuition" into "evidence-based" medicine involves grappling with several pitfalls. These pose challenges for authors, editors, reviewers, and readers. All require vigilance before drawing conclusions from presented data.
Topics: Humans; Neonatology; Outcome Assessment, Health Care; Bias; Evidence-Based Medicine
PubMed: 37151193
DOI: 10.1111/apa.16815 -
Paediatric and Perinatal Epidemiology Feb 2024
PubMed: 38385658
DOI: 10.1111/ppe.13057 -
Critical Reviews in Oncology/hematology Aug 2023Despite advances in the therapy of Central Nervous System (CNS) malignancies, treatment of glioblastoma (GB) poses significant challenges due to GB resistance and high... (Review)
Review
Despite advances in the therapy of Central Nervous System (CNS) malignancies, treatment of glioblastoma (GB) poses significant challenges due to GB resistance and high recurrence rates following post-operative radio-chemotherapy. The majority of prognostic and predictive GB biomarkers are currently developed using tumour samples obtained through surgical interventions. However, the selection criteria adopted by different neurosurgeons to determine which cases are suitable for surgery make operated patients not representative of all GB cases. Particularly, geriatric and frail individuals are excluded from surgical consideration in some cancer centers. Such selection generates a survival (or selection) bias that introduces limitations, rendering the patients or data chosen for downstream analyses not representative of the entire community. In this review, we discuss the implication of survivorship bias on current and novel biomarkers for patient selection, stratification, therapy, and outcome analyses.
Topics: Humans; Aged; Glioblastoma; Temozolomide; Dacarbazine; Survivorship; DNA Methylation; Brain Neoplasms; Prognosis; Biomarkers, Tumor; DNA Repair Enzymes
PubMed: 37392899
DOI: 10.1016/j.critrevonc.2023.104065 -
Environment International May 2024Some have looked forward to the publication of the results of the COSMOS study on brain tumors, because the potential biases from retrospective investigations...
Some have looked forward to the publication of the results of the COSMOS study on brain tumors, because the potential biases from retrospective investigations predominating the search for brain tumor risks of mobile phone use since the late 1990 s were deemed unresolvable by further investigations of that type. Indeed, prospective cohort studies typically have the advantage of being not or less affected by differential exposure misclassification, recall and selection bias, and, as they proceed in the direction of the time arrow, results are more easily interpreted in terms of causation. However, results of the COSMOS study published now in this journal are not of help for the risk assessment of mobile phone use and do not support the conclusions of the authors that their findings "suggest that the cumulative amount of mobile phone use is not associated with the risk of developing glioma, meningioma, or acoustic neuroma".
Topics: Brain Neoplasms; Humans; Cell Phone; Prospective Studies; Cohort Studies; Bias; Risk Assessment; Glioma; Meningioma; Neuroma, Acoustic; Radiation Exposure; Young Adult; Adult; Middle Aged; Aged
PubMed: 38677087
DOI: 10.1016/j.envint.2024.108665 -
The Science of the Total Environment Sep 2023As climate change exerts wide ranging health impacts, there is a surge of interest in the associations between climatic factors and mental and behavioral disorders... (Meta-Analysis)
Meta-Analysis Review
As climate change exerts wide ranging health impacts, there is a surge of interest in the associations between climatic factors and mental and behavioral disorders (MBDs). Existing quantitative syntheses focus mainly on heat and high temperature exposure, neglecting the effects of other climatic factors and their synergies. The objective of this study is to conduct a systematic review and meta-analysis of the evidence of associations between climatic exposure and combined mental and behavioral health conditions and specific mental disorders (e.g., schizophrenia, dementia). A systematic search was conducted April 11-16, 2022 using Web of Science, Medline, ProQuest, EMBASE, PsycINFO, CINAHL, and Environment Complete. Screening and eligibility screening followed inclusion criteria based on population, exposure, comparator, and outcome guidelines. Risk of bias assessment was performed, a narrative synthesis was first presented for all studies, and random-effect meta-analyses were performed when at least three studies were available for a specific exposure-outcome pair. Certainty of evidence was evaluated following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool. The search process yielded 7696 initial results, from which we identified 88 studies to include in the review set. Climatic factors reported included air temperature, solar radiation/sunshine, barometric pressure, precipitation, relative humidity, wind direction/speed, and thermal index. Outcomes including MBD incidences (e.g., schizophrenia, mood disorders, neurotic disorders), mental health-related mortality, and self-reported psychological states. Meta-analysis showed that heatwaves (pooled RR = 1.05, 95 % CI = 1.02-1.08) and extreme high temperatures (99th percentile: pooled RR = 1.18, 95 % CI = 1.08-1.29) were associated with higher risk of MBD. Cold extremes, however, were not associated with MBD risk. The findings further identified an association between increases in a thermal index (i.e., apparent temperature) and elevated risk of MBD (pooled RR = 1.06, 95 % CI = 1.03-1.12); specifically, a 99th percentile high temperature was associated with increased schizophrenia risk (pooled RR = 1.07, 95 % CI = 1.01-1.12). Risk of bias assessment showed most studies to have low or moderately low risks, while a few studies were rated probably high in confounding, selection bias, outcome measurement, and reporting bias. GRADE evaluation revealed moderate certainty of evidence on thermal comfort index and MBD, but low certainty related to air temperature or sunshine duration. These findings call attention to the heterogeneity of exposure measures and the utility of thermal indices that consider the synergistic effects of meteorological factors. Methodological concerns such as the linearity assumption and cumulative effects are discussed.
Topics: Humans; Mental Disorders; Mental Health; Selection Bias; Hot Temperature; Risk
PubMed: 37257626
DOI: 10.1016/j.scitotenv.2023.164435 -
Updates in Surgery Oct 2023Laser-assisted resection (LAR) of pulmonary metastases offers several potential advantages compared to conventional surgical techniques. However, the technical details,... (Review)
Review
Laser-assisted resection (LAR) of pulmonary metastases offers several potential advantages compared to conventional surgical techniques. However, the technical details, indications and outcomes of LAR have not been extensively reviewed. We conducted a systematic literature search to identify all original articles reporting on LAR of pulmonary metastases. All relevant outcomes, including morbidity rate, R0 rate, pulmonary function tests, overall- (OS) and relapse-free survival (RFS) rates were collected. Additionally, a comparison between outcomes obtained by laser-assisted and conventional resection techniques was provided. Of 2629 articles found by the initial search, 12 were selected for the systematic review. Following LAR, the R0 rate ranged between 72 and 100% and the morbidity rate ranged from 0 to 27.5%. The postoperative decline in forced expiratory volume in 1 s varied between 3.4 and 11%. Median OS and RFS were 42-77.6 months and 9-34.1 months, respectively. Compared with patients treated by other resection techniques, patients treated by LAR frequently had a higher number of metastases and a higher rate of bilateral disease. Despite this, no significant differences were observed in R0 rate, morbidity rate, and median OS rate, while only 1 study found a lower RFS rate in the LAR cohort. Although selection bias limits the comparability of outcomes, the findings of this review suggest that LAR is a valid alternative to conventional procedures of lung metastasectomy. The main difficulties of this technique consist in the adoption of a video-assisted thoracoscopic approach, and in the pathologic assessment of resection margins.
PubMed: 37347356
DOI: 10.1007/s13304-023-01564-x -
European Journal of Epidemiology Oct 2023Matching by a confounder in a case-control study nearly always produces a control-selection bias that mixes with the confounding to produce a net bias. Previous...
Matching by a confounder in a case-control study nearly always produces a control-selection bias that mixes with the confounding to produce a net bias. Previous theoretical work has assumed that control for a single confounder, the matching factor, is sufficient to remove all the confounding and that the confounder-exposure, confounder-outcome and exposure-outcome associations are monotonic. Under these conditions: (a) The net bias is toward the null if the exposure affects the outcome and nil if it does not. (b) If the confounding is away from the null, the selection bias is toward the null. (c) If the confounding is toward the null, the selection bias can be in any direction or even nil. If more than one confounder needs to be controlled to remove all the confounding, the net bias from matching by one of them can be away from the null, whether the exposure affects the outcome or not. An influential heuristic, that matching controls to cases by a variable associated with exposure always brings the marginal exposure distributions of the case and control groups closer together, turns out to be faulty. The implications of matching by confounders in case-control studies are less straightforward than previously thought. Suggestions are offered for advancing the methodologic literature on this topic.
PubMed: 37707626
DOI: 10.1007/s10654-023-01046-9