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Epidemiological studies have identified an inverse association between cancer and dementia. Underlying methodological biases have been postulated, yet no studies have systematically investigated the potential for each source of bias within a single dataset. We used the UK Biobank to compare estimates for the cancer-dementia association using different analytical specifications designed to sequentially address multiple sources of bias, including competing risk of death, selective survival, confounding bias, and diagnostic bias. We included 140,959 UK Biobank participants aged ≥ 55 without dementia before enrollment and with linked primary care data. We used cancer registry data to identify cancer cases prevalent before UK Biobank enrollment and incident cancer diagnosed after enrollment. We used Cox models to evaluate associations of prevalent and incident cancer with all-cause dementia, Alzheimer's disease (AD), and vascular dementia. We used time-varying models to evaluate diagnostic bias. Over a median follow-up of 12.3 years, 3,310 dementia cases were diagnosed. All-site incident cancer was positively associated with all-cause dementia incidence (hazard ratio [HR] = 1.14, 95% CI: 1.02-1.29), but prevalent cancer was not (HR = 1.04, 95% CI: 0.92-1.17). Results were similar for vascular dementia. AD was not associated with prevalent or incident cancer. Dementia diagnosis was substantially elevated in the first year after cancer diagnosis (HR = 1.83, 95% CI: 1.42-2.36), after which the association attenuated to null, suggesting diagnostic bias. Following a cancer diagnosis, health care utilization or cognitive consequences of diagnosis or treatment may increase chance of receiving a dementia diagnosis, creating potential diagnostic bias in electronic health records-based studies.

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INTRODUCTION: In poor countries, due to the limited resources, mostly they prescribe medications without proper diagnosis. The aim of this report is to show diagnostic bias of COVID-19 case. CASE PRESENTATION: A 17-year-old male patient was presented to the Hospital with a fever up to 39 °C associated with rigor, sweating, generalized body pain, myalgia, fatigue, loss of appetite, headache, and multiple joint pain with no swelling and redness. The vital signs were steady on physical examination, except temperature which was 39 °C. The chest was clear, and the pulse rate was 90 beats per minute. The heart rate relative bradycardia and lungs were normal. Both a PCR test for COVID-19, and a viral assay ELISA were negative. After further investigations, the culture findings revealed the strong development of Gram-negative coccobacilli (Salmonella serotype Typhi) bacteria under the microscope, which was confirmed by using VITEK 2 to identify it. and treated with ciprofloxacin tab, two times per day for five days and amikacin ampule 500 mg IV every 24 hours for 10 days. DISCUSSION: Fever is a well-known sign of COVID-19 infection which has been observed in 83%-98% of patients with COVID19. As a result, it may be difficult to tell the difference between COVID-19 and other febrile infections, causing delays in diagnosis and treatment and may blind the physician from considering other febrile illnesses. CONCLUSION: Physicians should construct more comprehensive differential diagnoses for people who experience fever, headache, or myalgia symptoms that are linked to a pandemic. COVID-19.

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During the COVID-19 pandemic, healthcare systems have faced unprecedented pressures. One challenge has been to promptly recognise non-COVID-19 conditions. Cognitive bias due to the availability heuristic may cause difficulties in reaching the correct diagnosis. Confirmation bias may also affect imaging interpretation. We report three cases with an alternative final diagnosis in whom COVID-19 was initially suspected: (a) Pneumocystis jirovecii pneumonia with unrecognised HIV infection; (b) pulmonary lymphangitis carcinomatosis; and (c) ST elevation myocardial infarction causing acute pulmonary oedema. To help mitigate bias, there is no substitute for thoughtful clinical assessment and critical appraisal when evaluating new information and formulating the differential diagnosis. LEARNING POINTS: The availability heuristic during the recent pandemic may lead to cognitive bias in favour of COVID-19 diagnosis and delayed recognition of other conditions, especially in patients presenting with similar non-specific features.Confirmation bias towards COVID-19 can also affect the interpretation of pulmonary imaging which is central to the investigation of cases with suspected pneumonitis.Diagnostic bias can be mitigated by recognition and allowing time for a thorough clinical history and methodical examination of the patients.

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Sexual minority individuals are diagnosed with borderline personality disorder (BPD) at higher proportions than heterosexual individuals regardless of presenting psychopathology. It is unclear if such bias is reflective of diagnostician idiosyncrasies or population-based diagnostic/criterion bias. Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III were utilized to examine if differences in BPD endorsement were related to/independent of transdiagnostic factor differences between sexual minority and heterosexual individuals. BPD diagnosis/criterion endorsement was higher among sexual minority compared with heterosexual individuals (odds ratios = 1.47-3.82). Furthermore, when dysfunction/impairment associated with criterion endorsement was ignored, endorsement disparities were magnified. Diagnostic/criterion differences were mostly explained by transdiagnostic factor differences associated with sexual minority status, with some notable exceptions. These results suggest that the predilection toward BPD diagnosis among sexual minority individuals does not appear reflective of criterion-related bias. They further highlight the importance of understanding group-specific forms of psychiatric malaise and reinforce the importance of cultural humility for equitable assessment. These results further raise questions pertaining to the conceptualization and epistemology of BPD as it relates to sexual minority individuals.

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High prevalence of borderline personality disorder (BPD) diagnosis is observed among sexual minority samples. It is unclear if sexual minority individuals are systematically diagnosed with BPD at higher rates than heterosexual individuals, and if potential diagnostic disparity can be explained by differences in maladaptive personality domains. Utilizing data from partial hospital patients (N = 1,099) the current study explored (a) differences in the frequency of diagnosis of BPD based on sexual orientation, (b) whether disparities explained differences in psychopathology across groups, and (c) the congruence between traditional methods of BPD diagnosis (i.e., clinical assessment) versus diagnosis based on elevations in self-reported maladaptive personality domains consistent with the alternative model for personality disorders. Sexual minority individuals were more likely to be diagnosed with BPD than heterosexual individuals (odds ratio [OR] = 2.43, p < .001), even after controlling for differences in clinical correlates of BPD diagnosis (age, gender, comorbid posttraumatic stress disorder, maladaptive personality domains; OR = 1.59, p < .05). Diagnostic disparity was highest for bisexual compared with heterosexual patients. These results suggest that clinicians may be predisposed to provide a BPD diagnosis to sexual minority patients that is independent of presenting psychopathology and bear important implications for future research aimed at discerning whether such predisposition is due to measure or clinician bias.

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Negative symptoms in schizophrenia show striking similarities to some depressive symptoms. Different terms are often used for these phenomenologically similar symptoms depending on the context, such as avolition (most often used in the context of schizophrenia) and lack of drive (most often used in the context of depression). To test whether clinicians assign different symptom labels to the same clinical picture based on the cued diagnosis, 98 clinical psychologists and psychiatrists were presented with two case studies that were randomly framed as characterizing an individual with either depression or schizophrenia. An interaction of the symptom label group selected by the clinicians with the framing condition confirmed our hypothesis: despite identical content, clinicians favored different clinical terms depending on the cued diagnosis (p = .025, η2partial = 0.054). This result was supported by the suspected diagnosis suggested by the clinicians; numerically, they more often confirmed than rejected the cued diagnosis. The present study is in line with earlier findings indicative of strong overlap pertaining to the phenomenology of negative symptoms in schizophrenia and depressive symptoms that suggest that clinical terminology should be streamlined. The hypothesis that core symptoms of both syndromes tap largely the same construct should be further pursued. If true, the concept of negative symptoms, currently used to describe schizophrenia alone, should be opened up for describing symptoms in other disorders. This could help to gain a deeper understanding of the transdiagnostic appearances of the negative syndrome.

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This study investigated the priming effects of the model minority stereotype on 122 clinicians in training regarding their diagnostic accuracy on Asian Americans compared to Whites. It was hypothesized that clinicians in training would be less likely to diagnose Asian Americans with alcohol use disorder and would perceive them to have fewer clinical symptoms than Whites due to the model minority stereotype. Consistent with the hypotheses, clinicians in training were less likely to assign alcohol use disorder to Asian Americans compared to Whites, as well as to the unprimed condition versus the condition primed with the stereotype. Implications regarding cultural competence and future research are discussed.

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Many disease diagnoses involve subjective judgments by qualified raters. For example, through the inspection of a mammogram, MRI, or ultrasound image, the clinician himself becomes part of the measuring instrument. To reduce diagnostic errors and improve the quality of diagnoses, it is necessary to assess raters' diagnostic skills and to improve their skills over time. This paper focuses on a subjective binary classification process, proposing a hierarchical model linking data on rater opinions with patient true disease-development outcomes. The model allows for the quantification of the effects of rater diagnostic skills (bias and magnifier) and patient latent disease severity on the rating results. A Bayesian Markov chain Monte Carlo (MCMC) algorithm is developed to estimate these parameters. Linking to patient true disease outcomes, the rater-specific sensitivity and specificity can be estimated using MCMC samples. Cost theory is used to identify poor- and strong-performing raters and to guide adjustment of rater bias and diagnostic magnifier to improve the rating performance. Furthermore, diagnostic magnifier is shown as a key parameter to present a rater's diagnostic ability because a rater with a larger diagnostic magnifier has a uniformly better receiver operating characteristic (ROC) curve when varying the value of diagnostic bias. A simulation study is conducted to evaluate the proposed methods, and the methods are illustrated with a mammography example.

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In 2009, a working group of the International Agency for Research on Cancer classified formaldehyde as carcinogenic to humans (Group 1) and concluded that formaldehyde causes cancer of the nasopharynx (NPC) and leukemia. The results of a large cohort study of industrial workers exposed to formaldehyde, conducted by the U.S. National Cancer Institute, mainly contributed to the available body of epidemiologic evidence. In their recent updated re-analysis of these cohort data published in your journal, Dr Marsh and his colleagues concluded that the results of the original analysis of NPC-risk are misleading because they are based on inappropriate regression analyses. In our view the reason for the elevated NPC risk reported in the original analysis might be also another one - a diagnostic bias. Therefore, it would be very helpful if the authors provided results for all other sub-categories (as three-digit categories of the International Classification of Diseases) of the pharynx to verify the hypothesis described and, hence, to clarify the relationship between exposure to formaldehyde and the risk of NPC.

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OBJECTIVES: To investigate reporting patterns and outcomes associated with lymphovascular invasion in a general population setting. METHODS: We identified all cystectomy patients with muscle-invasive urothelial cancer in Ontario, Canada, 1994-2008. Surgical pathology reports were analyzed for pathological variables including lymphovascular invasion. Lymphovascular invasion reporting patterns were described over time. A Cox proportional hazards model was used to evaluate the association of lymphovascular invasion with survival. RESULTS: Of the 2802 cases identified, lymphovascular invasion status was reported in 75%. Lymphovascular invasion reporting significantly improved over the study period and was correlated with poor prognostic pathological features (T stage and N stage). Comprehensive cancer center status was not consistently associated with lymphovascular invasion reporting. Patients with lymphovascular invasion had substantially lower survival than patients who were lymphovascular invasion-negative or whose lymphovascular invasion status was unstated (P < 0.001). Lymphovascular invasion was independently associated with survival in patients regardless of lymph node metastasis. After adjusting for age, stage, comorbidity, margin status and adjuvant chemotherapy, lymphovascular invasion remained strongly associated with reduced survival (hazard ratio 1.98, 95% confidence interval 1.71-2.29). CONCLUSIONS: Although routine reporting of lymphovascular invasion has improved over the years, pathologists appear to be biased towards evaluating lymphovascular invasion in patients with high-stage disease. Despite this bias, lymphovascular invasion remains an important prognostic factor among patients treated by cystectomy. Pathologists in general practice should report lymphovascular invasion status more consistently and urologists should hold their pathology colleagues to a higher standard.

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