Publications by authors named "Cristina Renzi"

Background: Presenting to primary care with fatigue is associated with a wide range of conditions, including cancer, although their relative likelihood is unknown.

Aim: To quantify associations between new-onset fatigue presentation and subsequent diagnosis of various diseases, including cancer.

Design And Setting: A cohort study of patients presenting in English primary care with new-onset fatigue during 2007-2017 (the fatigue group) compared with patients who presented without fatigue (the non-fatigue group), using Clinical Practice Research Datalink data linked to hospital episodes and national cancer registration data.

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Article Synopsis
  • The study examines discrepancies in cancer case status and diagnosis dates between cancer registry (CR) data and electronic health records (EHRs) for five types of cancer over a period from 1999 to 2018.
  • Among the findings, agreement in cancer diagnoses varied significantly between datasets, with combined CPRD-HES data confirming 84% to 92% of diagnoses compared to CR, but lower rates for individual data sources like HES and CPRD.
  • The research concludes that while combined primary and secondary care data may often reflect case status accurately, inconsistencies in diagnosis dates could affect cancer risk estimates and diagnostic pathways in studies.
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Background: The aim of this study is to assess the impact of disability on participation in CRC screening and to determine the overall effect size.

Methods: We conducted a systematic review and meta-analysis to compare CRC screening participation in individuals with and without disabilities. The search encompassed five databases (PubMed, EMBASE, Scopus, Google Scholar, medRxiv).

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Objectives: To investigate the role of comorbid chronic obstructive pulmonary disease (COPD) and symptom type on general practitioners' (GP's) symptom attribution and clinical decision-making in relation to lung cancer diagnosis.

Design: Vignette survey with a 2×2 mixed factorial design.

Setting: A nationwide online survey exploring clinical decision-making in primary care.

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Background: Presenting to primary care with fatigue is associated with a wide range of conditions, including cancer, although their relative likelihood is unknown.

Aim: To quantify associations between new-onset fatigue presentation and subsequent diagnosis of various diseases, including cancer.

Design And Setting: A cohort study of patients presenting in English primary care with new-onset fatigue during 2007-2017 (the fatigue group) compared with patients who presented without fatigue (the non-fatigue group), using Clinical Practice Research Datalink data linked to hospital episodes and national cancer registration data.

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Background: Identifying patients presenting with nonspecific abdominal symptoms who have underlying cancer is a challenge. Common blood tests are widely used to investigate these symptoms in primary care, but their predictive value for detecting cancer in this context is unknown. We quantify the predictive value of 19 abnormal blood test results for detecting underlying cancer in patients presenting with 2 nonspecific abdominal symptoms.

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Background: Healthcare-Associated Infections (HAIs) are a global public health issue, representing a significant burden of disease that leads to prolonged hospital stays, inappropriate use of antimicrobial drugs, intricately linked to the development of resistant microorganisms, and higher costs for healthcare systems. The study aimed to measure the prevalence of HAIs, the use of antimicrobials, and assess healthcare- and patient-related risk factors, to help identify key intervention points for effectively reducing the burden of HAIs.

Methods: A total of 28 acute care hospitals in the Lombardy region, Northern Italy, participated in the third European Point Prevalence Survey (PPS-3) coordinated by ECDC for the surveillance of HAIs in acute care hospitals (Protocol 6.

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Background: Patients with multiple conditions present a growing challenge for healthcare provision. Measures of multimorbidity may support clinical management, healthcare resource allocation and accounting for the health of participants in purpose-designed cohorts. The recently developed Cambridge Multimorbidity scores (CMS) have the potential to achieve these aims using primary care records, however, they have not yet been validated outside of their development cohort.

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Introduction: Chronic autoimmune (type 1 diabetes and coeliac disease) and metabolic/cardiovascular (type 2 diabetes, dyslipidaemia, hypertension) diseases are highly prevalent across all age ranges representing a major public health burden. Universal screening for prediction/early identification of these conditions is a potential tool for reducing their impact on the general population. The aim of this study is to assess whether universal screening using capillary blood sampling is feasible at a population-based level.

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Introduction: The COVID-19 pandemic represents the most severe health and socioeconomic crisis of our century. It began with the first reports in China, in the Wuhan region in December 2019, and quickly spread worldwide, causing a new Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Among the population most at risk of infection and developing severe forms of the disease are the elderly and healthcare workers, who are more exposed to infected individuals.

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Background: Ongoing shortages in primary care doctors/primary care paediatricians and increasing healthcare needs due to ageing of the population represent a great challenge for healthcare providers, managers, and policymakers. To support planning of primary healthcare resource allocation we analyzed the geographic distribution of primary care doctors/primary care paediatricians across Italian regions, accounting for area-specific number and age of the population. Additionally, we estimated the number of primary care doctors/primary care paediatricians expected to retire over the next 25 years, with a focus on the next five years.

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Background: Primary healthcare plays a central role in providing preventive care, managing chronic conditions and reducing inappropriate emergency presentations. The study aimed at providing population-level evidence on the correlation between the characteristics of primary healthcare across Italian regions and health outcomes included in the National Programs Outcomes of the National Agency for Regional Healthcare Services.

Study Design: Ecological study.

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Introduction: The COVID-19 pandemic presented unprecedented challenges to European healthcare systems. The study aimed to review the available evidence on the impact of the pandemic on the timely diagnosis of cancer across European countries. The primary objective was to examine changes in diagnostic pathways and stage at diagnosis during the pandemic, compared to the pre-pandemic period, across European countries, taking healthcare system characteristics and COVID-19 policies into account.

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Early diagnosis of cancer relies on accurate assessment of cancer risk in patients presenting with symptoms, when screening is not appropriate. But recorded symptoms in cancer patients pre-diagnosis may vary between different sources of electronic health records (EHRs), either genuinely or due to differential completeness of symptom recording. To assess possible differences, we analysed primary care EHRs in the year pre-diagnosis of cancer in UK Biobank and Clinical Practice Research Datalink (CPRD) populations linked to cancer registry data.

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Researchers and research funders aiming to improve diagnosis seek to identify if, when, where, and how earlier diagnosis is possible. This has led to the propagation of research studies using a wide range of methodologies and data sources to explore diagnostic processes. Many such studies use electronic health record data and focus on cancer diagnosis.

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Background And Aim: Early cancer diagnosis is a public health priority, but large proportions of patients are diagnosed with advanced disease or as an emergency, even in countries with universal healthcare coverage. The study aimed at examining factors contributing to diagnostic delays and inequalities in cancer care, discussing challenges and opportunities for improving the diagnosis of cancer.

Methods: We performed a critical review of the literature examining factors contributing to delays and inequalities in cancer diagnosis, published between 2019-2023, in Europe with a specific focus on Italy.

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Detecting SARS-CoV-2 remains a critical component in the global effort to control COVID-19, particularly with the emergence of variants. Since the outbreak, diagnostic techniques have evolved to meet different contexts and needs. Methods: In this study, we analyzed the use of these techniques in five countries (i.

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Article Synopsis
  • The study investigates how often patients with undiagnosed lung cancer (LC) who presented with dyspnoea (shortness of breath) were prescribed relevant medications in the year before their diagnosis, using data from the UK.
  • Over 63% of the 5434 patients analyzed received one or more prescriptions, with inhaled medications most common in those with pre-existing chronic obstructive pulmonary disease (COPD), while antibiotics were more frequently prescribed to COPD-free and new-onset COPD patients.
  • The findings suggest that there is a significant window of opportunity for earlier lung cancer diagnosis, as medication prescribing rates increased notably in the months leading up to diagnosis, especially for patients with pre-existing COPD.*
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Objectives: Type 2 diabetes is associated with a higher risk of colorectal cancer (CRC) and advanced-stage cancer diagnosis. To help diagnose cancer earlier, this study aimed at examining whether diabetes might influence patient symptom attribution, help-seeking, and willingness to undergo investigations for possible CRC symptoms.

Methods: A total of 1307 adults (340 with and 967 without diabetes) completed an online vignette survey.

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Background: Presenting to primary care with fatigue is associated with slightly increased cancer risk, although it is unknown how this varies in the presence of other 'vague' symptoms.

Aim: To quantify cancer risk in patients with fatigue who present with other 'vague' symptoms in the absence of 'alarm' symptoms for cancer.

Design And Setting: Cohort study of patients presenting in UK primary care with new-onset fatigue during 2007-2015, using Clinical Practice Research Datalink data linked to national cancer registration data.

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Over 60% of cancer diagnoses in the UK are in patients aged 65 and over. Cancer diagnosis and treatment in older adults is complicated by the presence of frailty, which is associated with lower survival rates and poorer quality of life. This population-based cohort study used a longitudinal database to calculate the time between presentation to primary care with a symptom suspicious of cancer and a confirmed cancer diagnosis for 7460 patients in the Bradford District.

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Background: Steroid use is associated with increased risk of Hodgkin lymphoma (HL). However, allergic symptoms commonly treated with steroids are also presenting features of HL in some patients, thereby introducing protopathic bias in estimates of aetiological associations. It is therefore important to examine steroid prescribing patterns pre-diagnosis to understand timing of associations and when healthcare use increases before cancer diagnosis to inform future epidemiological study design.

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Importance: Mental health morbidity (MHM) in patients presenting with possible cancer symptoms may be associated with prediagnostic care and time to cancer diagnosis.

Objective: To compare the length of intervals to cancer diagnosis by preexisting MHM status in patients who presented with symptoms of as-yet-undiagnosed colon cancer and evaluate their risk of emergency cancer diagnosis.

Design, Setting, And Participants: This cohort study was conducted using linked primary care data obtained from the population-based Clinical Practice Research Datalink, which includes primary care practices in England, linked to cancer registry and hospital data.

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Background: The cancer burden falls predominantly on older (≥65 years) adults. Prompt presentation to primary care with cancer symptoms could result in earlier diagnosis. However, patient symptom appraisal and help-seeking decisions involving cancer symptoms are complex and may be further complicated in older adults.

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