diagnosis

Co-occurring Conditions and Change in Diagnosis in Autism Spectrum Disorders

Mixed prevalence rates of co-occurring psychiatric and neurodevelopmental conditions have been reported in children diagnosed with an autism spectrum disorder (ASD). ASD diagnoses remain fairly stable within a continuum, but some do not meet criteria for an ASD diagnosis years after initial diagnosis.

Co-occurring neurodevelopmental and psychiatric conditions may explain, in part, why the diagnosis of an ASD may change with age. (Read the full article)




diagnosis

Accuracy of Point-of-Care Ultrasound for Diagnosis of Skull Fractures in Children

Head injuries and concern for skull fracture are common in pediatrics. Point-of-care ultrasound is an imaging tool that can be used to diagnose fractures. However, there are scant data regarding the accuracy of point-of-care ultrasound in skull fracture diagnosis.

Clinicians with focused point-of-care ultrasound training are able to diagnose skull fractures in children with high specificity. Ultrasound may be valuable to diagnose skull fractures in children at the point of care. (Read the full article)




diagnosis

Racial and Ethnic Disparities in ADHD Diagnosis From Kindergarten to Eighth Grade

Minority children are less likely than white children to be diagnosed and treated with attention-deficit/hyperactivity disorder. However, diagnosis patterns over time in early and middle childhood and whether confounding factors explain these disparities are not currently well understood.

Racial/ethnic disparities in attention-deficit/hyperactivity disorder diagnosis occur by kindergarten and continue until eighth grade. Racial/ethnic disparities among diagnosed children in medication use occur in both fifth and eighth grades. These disparities are not attributable to confounding factors. (Read the full article)




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Use of a Computerized Decision Aid for ADHD Diagnosis: A Randomized Controlled Trial

Despite the existence of authoritative guidelines to assist primary care physicians in identifying and managing attention-deficit/hyperactivity disorder (ADHD), ample evidence demonstrates that they continue to diagnose and treat this disorder suboptimally.

The introduction of a clinical decision support module resulted in higher quality of care with respect to ADHD diagnosis including a prospect for higher quality of ADHD management in children. (Read the full article)




diagnosis

Trends in the Prevalence of Ketoacidosis at Diabetes Diagnosis: The SEARCH for Diabetes in Youth Study

Diabetic ketoacidosis (DKA) is a life-threatening condition and often the presenting symptom of newly diagnosed type 1 or type 2 diabetes in youth. SEARCH previously reported that the prevalence of DKA at diagnosis was 25.5% in 2002–2003.

DKA in youth with type 1 diabetes remains a problem, with almost one-third presenting with DKA. Among youth with type 2 diabetes, DKA was less common and decreased by ~10% per year, suggesting improved detection or earlier diagnosis. (Read the full article)




diagnosis

Delayed Diagnosis of Critical Congenital Heart Defects: Trends and Associated Factors

Delayed diagnosis of critical congenital heart defects (CCHDs) is associated with increased morbidity and mortality.

Despite increasing prenatal diagnosis rates, delayed diagnosis of CCHDs continues to occur, with rates highest among isolated cases and those delivered at nontertiary care hospitals. Better understanding of delayed diagnosis could help to improve screening efforts. (Read the full article)




diagnosis

A Comparison of Interferon-{gamma} and IP-10 for the Diagnosis of Tuberculosis

IP-10 is a novel immunologic marker for tuberculosis (TB) infection. It has been suggested that IP-10 may perform better in children compared with the QuantiFERON test, but only a few studies have investigated IP-10 for diagnosing active TB in children.

This study is the first to investigate IP-10 and QuantiFERON for diagnosing TB in children by using consensus classifications. Both IP-10 and QuantiFERON exhibited poor performance in children from a high-burden setting, and performance was especially compromised in young children. (Read the full article)




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Misdiagnosis and Missed Diagnoses in Foster and Adopted Children With Prenatal Alcohol Exposure

Researchers speculate that children with fetal alcohol spectrum disorders often are not recognized or diagnosed correctly.

This is the first study to assess the rate of missed diagnoses and misdiagnosis in foster and adopted children with fetal alcohol spectrum disorders. (Read the full article)




diagnosis

Diagnosis of Viral Infections Using Myxovirus Resistance Protein A (MxA)

Myxovirus resistance protein A (MxA) is a protein induced during viral infections. A few small-scale studies have suggested that MxA could be used as a marker of viral infection in clinical routine practice.

This study involves the largest patient population thus far and confirms the usefulness of MxA for diagnosing viral infections in children consulting the emergency department in a clinical routine setting. (Read the full article)




diagnosis

Inconclusive Diagnosis of Cystic Fibrosis After Newborn Screening

Infants with an inconclusive diagnosis of cystic fibrosis after newborn screening may turn out to have cystic fibrosis. However, little is known about the incidence, characteristics (phenotype and genotype), and outcomes of these infants to guide investigations and follow-up.

In this prospective longitudinal study, a proportion (11%) of infants with an initial inconclusive diagnosis were subsequently diagnosed with cystic fibrosis. This finding underscores the need for follow-up of this population. (Read the full article)




diagnosis

Outcomes of Infants With Indeterminate Diagnosis Detected by Cystic Fibrosis Newborn Screening

Little is known about the prevalence or outcomes of infants with indeterminate diagnostic results after a positive cystic fibrosis (CF) newborn screen (CF transmembrane conductance regulator–related metabolic syndrome [CRMS]).

CRMS accounted for 15.7% of newborn screened diagnoses in the CF Patient Registry from 2010 to 2012 (CRMS:CF ratio = 5.0:1.0). Although most infants were healthy, some infants demonstrated clinical features concerning for CF. (Read the full article)




diagnosis

Late Diagnosis of Coarctation Despite Prenatal Ultrasound and Postnatal Pulse Oximetry

Neonatal coarctation of the aorta (CoA) is a life-threatening cardiac defect, but because symptoms may be lacking initially, newborns with this defect are frequently discharged from the hospital undiagnosed. Delayed diagnosis of CoA is associated with increased morbidity and mortality.

This population-based study analyzes the contribution of prenatal ultrasound and postnatal pulse oximetry screening to the timely diagnosis of neonatal CoA. Both screening methods had low sensitivity for CoA. Nearly half of all newborns with isolated CoA were discharged undiagnosed. (Read the full article)




diagnosis

Variation in Prenatal Diagnosis of Congenital Heart Disease in Infants

Prenatal diagnosis may lead to benefits in outcomes for certain forms of critical congenital heart disease. Despite recognized benefits, single-center studies and focused regional efforts suggest that prenatal detection rates for congenital heart disease remain low in the United States.

We describe prenatal detection rates for a large cohort of neonates and infants undergoing heart surgery across a range of congenital heart defects. Additionally, this study adds new information by demonstrating geographic variability of prenatal detection rates across the United States. (Read the full article)




diagnosis

Timing of the Diagnosis of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

Many studies have suggested that autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are commonly co-occuring neurodevelopmental conditions.

In children with co-occurring ASD and ADHD, an initial ADHD diagnosis may be associated with delayed ASD diagnosis and a higher likelihood of ASD diagnosis older than 6 years of age. Clinicians should consider ASD when evaluating young children presenting with ADHD symptoms. (Read the full article)




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Early Diagnosis of Cystic Fibrosis Through Neonatal Screening Prevents Severe Malnutrition and Improves Long-Term Growth

Philip M. Farrell
Jan 1, 2001; 107:1-13
ARTICLES




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For Newark Valley family, toddler's COVID-19 diagnosis changes Mother's Day in an instant

Kali Little was already extra grateful for her mom and grandmother this Mother's Day. Then her 3-year-old was diagnosed with COVID-19. ......




diagnosis

Breast Cancer Prognosis May Be Worse If Diagnosis Follows 'Negative' Mammogram

Title: Breast Cancer Prognosis May Be Worse If Diagnosis Follows 'Negative' Mammogram
Category: Health News
Created: 5/3/2018 12:00:00 AM
Last Editorial Review: 5/4/2018 12:00:00 AM




diagnosis

Immediate reactions with glatiramer acetate: Diagnosis of allergy and desensitization protocols

Purpose of review

Diverse adverse events have been associated with administration of glatiramer acetate (GA), mainly local reactions at the injection site. Other, less frequent generalized reactions include isolated postinjection reactions and anaphylaxis, which may lead to discontinuation of GA.

Recent findings

Close collaboration between the allergy and neurology departments is needed to study adverse reactions to GA. The allergy study should include a detailed history and skin prick and intradermal tests with GA and, if possible, determination of specific IgE levels. Furthermore, the implication of other drugs should be ruled out.

Summary

An accurate diagnosis of reactions to GA is essential if we are to confirm or rule out allergy to GA. When an allergy diagnosis is confirmed or firmly suspected based on clinical evidence, desensitization protocols are increasingly seen as safe methods for reintroduction of GA.




diagnosis

Network Implementation of Guideline for Early Detection Decreases Age at Cerebral Palsy Diagnosis

BACKGROUND AND OBJECTIVES:

Early diagnosis of cerebral palsy (CP) is critical in obtaining evidence-based interventions when plasticity is greatest. In 2017, international guidelines for early detection of CP were published on the basis of a systematic review of evidence. Our study aim was to reduce the age at CP diagnosis throughout a network of 5 diverse US high-risk infant follow-up programs through consistent implementation of these guidelines.

METHODS:

The study leveraged plan-do-study-act and Lean methodologies. The primary outcome was age at CP diagnosis. Data were acquired during the corresponding 9-month baseline and quarterly throughout study. Balancing measures were clinic no-show rates and parent perception of the diagnosis visit. Clinic teams conducted strengths, weaknesses, opportunities, and threats analyses, process flow evaluations, standardized assessments training, and parent questionnaires. Performance of a 3- to 4-month clinic visit was a critical process step because it included a Hammersmith Infant Neurologic Examination, a General Movements Assessment, and standardized assessments of motor function.

RESULTS:

The age at CP diagnosis decreased from a weighted average of 19.5 (95% confidence interval 16.2 to 22.8) to 9.5 months (95% confidence interval 4.5 to 14.6), with P = .008; 3- to 4-month visits per site increased from the median (interquartile range) 14 (5.2–73.7) to 54 (34.5–152.0), with P < .001; and no-show rates were not different. Parent questionnaires revealed positive provider perception with improvement opportunities for information content and understandability.

CONCLUSIONS:

Large-scale implementation of international guidelines for early detection of CP is feasible in diverse high-risk infant follow-up clinics. The initiative was received positively by families and without adversely affecting clinic operational flow. Additional parent support and education are necessary.




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Cervical Spondylotic Myelopathy: A Guide to Diagnosis and Management

Cervical spondylotic myelopathy (CSM) is a neurologic condition that develops insidiously over time as degenerative changes of the spine result in compression of the cord and nearby structures. It is the most common form of spinal cord injury in adults; yet, its diagnosis is often delayed. The purpose of this article is to review the pathophysiology, natural history, diagnosis, and management of CSM with a focus on the recommended timeline for physicians suspecting CSM to refer patients to a spine surgeon. Various processes underlie spondylotic changes of the canal and are separated into static and dynamic factors. Not all patients with evidence of cord compression will present with symptoms, and the progression of disease varies by patient. The hallmark symptoms of CSM include decreased hand dexterity and gait instability as well as sensory and motor dysfunction. magnetic resonance imaging is the imaging modality of choice in patients with suspected CSM, but computed tomography myelography may be used in patients with contraindications. Patients with mild CSM may be treated surgically or nonoperatively, whereas those with moderate-severe disease are treated operatively. Due to the long-term disability that may result from a delay in diagnosis and management, prompt referral to a spine surgeon is recommended for any patient suspected of having CSM. This review provides information and guidelines for practitioners to develop an actionable awareness of CSM.




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Fixed Ratio Versus Lower Limit of Normal: Health Status and Risk Factors for COPD Overdiagnosis

BACKGROUND:The threshold of the lower limit of the normal range of lung function has been suggested to be more accurate than the 0.7 fixed ratio (FEV1/FVC < 0.7) for a diagnosis of COPD. We aimed to explore the health status and risk factors of patients overdiagnosed with COPD when using the lower limit of the normal range as a diagnostic reference.METHODS:Subjects with COPD diagnosed by a pulmonologist according to guidelines of the Global Initiative for Chronic Obstructive Lung Disease were recruited from October 2016 to April 2018. Overdiagnosed COPD was defined as FEV1/FVC that meets the criterion of the 0.7 fixed ratio but not the the lower limit of the normal range criterion. Spirometry and questionnaires were performed by eligible subjects.RESULTS:Of the 513 subjects included in the final analysis, 20 (3.9%) were overdiagnosed when using the lower limit of the normal range as the diagnostic reference. The subjects who were overdiagnosed were older, weighed more, had better lung function, lower modified Medical British Research Council scores, and higher St. George's Respiratory Questionnaire and 36-item Short Form Survey scores than the subjects who were correctly diagnosed. Older age, heavier weight, exposure to cooking oil fumes, or a new-built or newly renovated home were associated with an increased risk of overdiagnosis of COPD (age adjusted odds ratio (OR) 1.17, 95% CI 1.09–1.26; weight adjusted OR 1.08, 95% CI 1.03–1.13; exposure to cooking oil fumes adjusted OR 3.00, 95% CI, 1.04–8.68; exposure to new-built or newly renovated home adjusted OR 10.88, 95% CI 1.46–80.87.CONCLUSIONS:The subjects with overdiagnosed COPD had a better health status and lung function than the subjects who were correctly diagnosed. Older age, heavier weight, and exposure to cooking oil fumes or a new-built or newly renovated home were factors associated with the overdiagnosis of COPD. These findings may help reduce overdiagnosis of COPD.




diagnosis

Clinical approach to the diagnosis of autoimmune encephalitis in the pediatric patient




diagnosis

Evaluation of a Novel Multiplex PCR Panel Compared to Quantitative Bacterial Culture for Diagnosis of Lower Respiratory Tract Infections [Bacteriology]

Quantitative bacterial culture of bronchoalveolar lavage fluids (BALF) is labor-intensive, and the delay involved in performing culture, definitive identification, and susceptibility testing often results in prolonged use of broad-spectrum antibiotics. The Unyvero lower respiratory tract (LRT) panel (Curetis, Holzgerlingen, Germany) allows the multiplexed rapid detection and identification of 20 potential etiologic agents of pneumonia within 5 h of collection. In addition, the assay includes detection of gene sequences that confer antimicrobial resistance. We retrospectively compared the performance of the molecular panel to routine quantitative bacterial culture methods on remnant BALF. Upon testing 175 BALF, we were able to analyze positive agreement of 181 targets from 129 samples, and 46 samples were negative. The positive percent agreement (PPA) among the microbial targets was 96.5%, and the negative percent agreement (NPA) was 99.6%. The targets with a PPA of <100% were Staphylococcus aureus (34/37 [91.9%]), Streptococcus pneumoniae (10/11 [90.9%]), and Enterobacter cloacae complex (2/4 [50%]). For the analyzable resistance targets, concordance with phenotypic susceptibility testing was 79% (14/18). This study found the Unyvero LRT panel largely concordant with culture results; however, no outcome or clinical impact studies were performed.




diagnosis

A Fully Automated Multiplex Assay for Diagnosis of Lyme Disease with High Specificity and Improved Early Sensitivity [Immunoassays]

Lyme borreliosis is a tick-borne disease caused by the Borrelia burgdorferi sensu lato complex. Bio-Rad Laboratories has developed a fully automated multiplex bead-based assay for the detection of IgM and IgG antibodies to B. burgdorferi. The BioPlex 2200 Lyme Total assay exhibits an improved rate of seropositivity in patients with early Lyme infection. Asymptomatic subjects from endemic and nonendemic origins demonstrated a seroreactivity rate of approximately 4% that was similar to other commercial assays evaluated in this study. Coupled to this result was the observation that the Lyme Total assay retained a high first-tier specificity of 96% while demonstrating a relatively high sensitivity of 91% among a well-characterized CDC Premarketing Lyme serum panel. The Lyme Total assay also performs well under a modified two-tier algorithm (sensitivity, 84.4 to 88.9%; specificity, 98.4 to 99.5%). Furthermore, the new assay is able to readily detect early Lyme infection in patient samples from outside North America.




diagnosis

Improved Molecular Diagnosis of COVID-19 by the Novel, Highly Sensitive and Specific COVID-19-RdRp/Hel Real-Time Reverse Transcription-PCR Assay Validated In Vitro and with Clinical Specimens [Virology]

On 31 December 2019, the World Health Organization was informed of a cluster of cases of pneumonia of unknown etiology in Wuhan, China. Subsequent investigations identified a novel coronavirus, now named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), from the affected patients. Highly sensitive and specific laboratory diagnostics are important for controlling the rapidly evolving SARS-CoV-2-associated coronavirus disease 2019 (COVID-19) epidemic. In this study, we developed and compared the performance of three novel real-time reverse transcription-PCR (RT-PCR) assays targeting the RNA-dependent RNA polymerase (RdRp)/helicase (Hel), spike (S), and nucleocapsid (N) genes of SARS-CoV-2 with that of the reported RdRp-P2 assay, which is used in >30 European laboratories. Among the three novel assays, the COVID-19-RdRp/Hel assay had the lowest limit of detection in vitro (1.8 50% tissue culture infective doses [TCID50]/ml with genomic RNA and 11.2 RNA copies/reaction with in vitro RNA transcripts). Among 273 specimens from 15 patients with laboratory-confirmed COVID-19 in Hong Kong, 77 (28.2%) were positive by both the COVID-19-RdRp/Hel and RdRp-P2 assays. The COVID-19-RdRp/Hel assay was positive for an additional 42 RdRp-P2-negative specimens (119/273 [43.6%] versus 77/273 [28.2%]; P < 0.001), including 29/120 (24.2%) respiratory tract specimens and 13/153 (8.5%) non-respiratory tract specimens. The mean viral load of these specimens was 3.21 x 104 RNA copies/ml (range, 2.21 x 102 to 4.71 x 105 RNA copies/ml). The COVID-19-RdRp/Hel assay did not cross-react with other human-pathogenic coronaviruses and respiratory pathogens in cell culture and clinical specimens, whereas the RdRp-P2 assay cross-reacted with SARS-CoV in cell culture. The highly sensitive and specific COVID-19-RdRp/Hel assay may help to improve the laboratory diagnosis of COVID-19.




diagnosis

Visual Diagnosis: A Case of Stretchy Skin and Vascular Abnormalities




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Women&#x2019;s experiences of diagnosis and management of polycystic ovary syndrome: a mixed-methods study in general practice

BackgroundPolycystic ovary syndrome (PCOS) is a common lifelong metabolic condition with serious associated comorbidities. Evidence points to a delay in diagnosis and inconsistency in the information provided to women with PCOS.AimTo capture women’s experiences of how PCOS is diagnosed and managed in UK general practice.Design and settingThis was a mixed-methods study with an online questionnaire survey and semi-structured telephone interviews with a subset of responders.MethodAn online survey to elicit women’s experiences of general practice PCOS care was promoted by charities and BBC Radio Leicester. The survey was accessible online between January 2018 and November 2018. A subset of responders undertook a semi-structured telephone interview to provide more in-depth data.ResultsA total of 323 women completed the survey (average age 35.4 years) and semi-structured interviews were conducted with 11 women. There were five key themes identified through the survey responses. Participants described a variable lag time from presentation to PCOS diagnosis, with a median of 6–12 months. Many had experienced mental health problems associated with their PCOS symptoms, but had not discussed these with the GP. Many were unable to recall any discussion about associated comorbidities with the GP. Some differences were identified between the experiences of women from white British backgrounds and those from other ethnic backgrounds.ConclusionFrom the experiences of the women in this study, it appears that PCOS in general practice is not viewed as a long-term condition with an increased risk of comorbidities including mental health problems. Further research should explore GPs’ awareness of comorbidities and the differences in PCOS care experienced by women from different ethnic backgrounds.




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The SARS-CoV-2 Outbreak: Diagnosis, Infection Prevention, and Public Perception

At the end of 2019 and early 2020, an outbreak of pneumonia of unknown etiology emerged in the city of Wuhan in China. The cases were found to be caused by a novel beta coronavirus, which was subsequently named SARS-CoV-2 by the World Health Organization (WHO). The virus has since spread further in China and to other regions of the world, having infected more than 88 K people, and causing close to 3000 deaths as of March 1, 2020. More than 50 million people remain in quarantine at this time. Scientists and clinicians globally are working swiftly to combat COVID-19, the respiratory disease caused by the virus. Notably, diagnostic assays have been developed rapidly in many countries, and have played significant roles in diagnosis, monitoring, surveillance, and infection control. Starting February 29, 2020, the development and performance of molecular testing for SARS-CoV-2 in high complexity Clinical Laboratory Improvement Amendments (CLIA) laboratories prior to emergency use authorization was allowed by the US FDA. Although the epidemic is evolving rapidly, many valuable lessons have been learned and many questions remain to be answered. Here we invited multiple experts across the globe from clinical laboratories, public health laboratories, infection control, and diagnostic industry to share their views on the diagnosis, infection control, and public perception of SARS-CoV-2.




diagnosis

Overdiagnosis of lung cancer with low-dose computed tomography screening: meta-analysis of the randomised clinical trials

In low-dose computed tomography (LDCT) screening for lung cancer, all three main conditions for overdiagnosis in cancer screening are present: 1) a reservoir of slowly or nongrowing lung cancer exists; 2) LDCT is a high-resolution imaging technology with the potential to identify this reservoir; and 3) eligible screening participants have a high risk of dying from causes other than lung cancer. The degree of overdiagnosis in cancer screening is most validly estimated in high-quality randomised controlled trials (RCTs), with enough follow-up time after the end of screening to avoid lead-time bias and without contamination of the control group.

Nine RCTs investigating LDCT screening were identified. Two RCTs were excluded because lung cancer incidence after the end of screening was not published. Two other RCTs using active comparators were also excluded. Therefore, five RCTs were included: two trials were at low risk of bias, two of some concern and one at high risk of bias. In a meta-analysis of the two low risk of bias RCTs including 8156 healthy current or former smokers, 49% of the screen-detected cancers were overdiagnosed. There is uncertainty about this substantial degree of overdiagnosis due to unexplained heterogeneity and low precision of the summed estimate across the two trials.

Key points

  • Nine randomised controlled trials (RCTs) on low-dose computed tomography screening were identified; five were included for meta-analysis but only two of those were at low risk of bias.

  • In a meta-analysis of recent low risk of bias RCTs including 8156 healthy current or former smokers from developed countries, we found that 49% of the screen-detected cancers may be overdiagnosed.

  • There is uncertainty about the degree of overdiagnosis in lung cancer screening due to unexplained heterogeneity and low precision of the point estimate.

  • If only high-quality RCTs are included in the meta-analysis, the degree of overdiagnosis is substantial.

  • Educational aims

  • To appreciate that low-dose computed tomography screening for lung cancer meets all three main conditions for overdiagnosis in cancer screening: a reservoir of indolent cancers exists in the population; the screening test is able to "tap" this reservoir by detecting biologically indolent cancers as well as biologically important cancers; and the population being screened is characterised by a relatively high competing risk of death from other causes

  • To learn about biases that might affect the estimates of overdiagnosis in randomised controlled trials in cancer screening




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    Worldwide Increase in Diagnosis of Hypertension in Children




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    Age at Diagnosis and Patient Preferences for Treatment Outcomes in AML: A Discrete Choice Experiment to Explore Meaningful Benefits

    Background:

    The recent expansion of treatment options in acute myeloid leukemia (AML) has necessitated a greater understanding of patient preferences for treatment benefits, about which little is known.

    Methods:

    We sought to quantify and assess heterogeneity of the preferences of AML patients for treatment outcomes. An AML-specific discrete choice experiment (DCE) was developed involving multiple stakeholders. Attributes included in the DCE were event-free survival (EFS), complete remission (CR), time in the hospital, short-term side effects, and long-term side effects. Continuously coded conditional, stratified, and latent-class logistic regressions were used to model preferences of 294 patients with AML.

    Results:

    Most patients were white (89.4%) and in remission (95.0%). A 10% improvement in the chance of CR was the most meaningful offered benefit (P < 0.001). Patients were willing to trade up to 22 months of EFS or endure 8.7 months in the hospital or a two-step increase in long-term side effects to gain a 10% increase in chance of CR. Patients diagnosed at 60 years or older (21.6%) more strongly preferred to avoid short-term side effects (P = 0.03). Latent class analysis showed significant differences of preferences across gender and insurance status.

    Conclusions:

    In this national sample of mostly AML survivors, patients preferred treatments that maximized chance at remission; however, significant preference heterogeneity for outcomes was identified. Age and gender may affect patients' preferences.

    Impact:

    Survivor preferences for outcomes can inform patient-focused drug development and shared decision-making. Further studies are necessary to investigate the use of DCEs to guide treatment for individual patients.




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    Prince William says he was &apos;concerned&apos; about Charles after coronavirus diagnosis as he and Kate launch NHS mental health campaign

    The heir to the throne, 71, spent seven days self isolating at his Scottish home Birkhall, when he was told he had contracted the disease late last month.




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    &apos;Bubbly&apos; nurse, 55, dies after coronavirus diagnosis

    A nurse who came from South Africa to the UK to bring her "passion for care" to the NHS has died after contracting coronavirus.




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    Dynamo says he&apos;s &apos;definitely through the worst&apos; after coronavirus diagnosis

    Coronavirus: the symptoms




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    Jurgen Klopp reveals Liverpool squad shock at Kenny Dalglish coronavirus diagnosis – &apos;One of us has it&apos;

    Liverpool manager Jurgen Klopp has revealed the impact that club legend Sir Kenny Dalglish being diagnosed with coronavirus had on him and his players.




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    Norman Hunter: Leeds legend remains &apos;severely unwell&apos; in hospital after Covid-19 diagnosis

    Leeds United great Norman Hunter remains "severely unwell" in hospital almost a week after being admitted with coronavirus.




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    Mikel Arteta coronavirus diagnosis may have saved lives, says epidemiologist

    Suspending professional football in England ahead of the government's decision to formally ban mass gatherings due to the coronavirus pandemic may have saved a number of lives, according to experts.




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    Former Liverpool defender Dominic Matteo reveals how eyesight concerns led to brain tumour diagnosis

    Dominic Matteo has opened up on the frightening moment that he was hit with a shock brain tumour diagnosis after seeking out an eye test.




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    Selma Blair reveals she cried with relief at MS diagnosis after being &#39;not taken seriously&#39; by doctors

    The 46-year-old actress is now revealing the agony she went through before receiving a diagnosis of multiple sclerosis (MS) last August."Ever since my son was born, I was in an MS flare-up and didn't know, and I was giving it everything to seem normal," Blair told Robin Roberts in an interview that aired Tuesday on "Good Morning America." "And I was self-medicating when he wasn't with me. Blair recalled that she would get so fatigued prior to her diagnosis that she would need to pull over to take a nap after dropping her son, now 7, off at his school one mile away from their home. During her interview with "GMA" at her Los Angeles home, Blair was in an "exacerbation" of MS, or an attack that causes new symptoms or the worsening of existing symptoms.





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    A devastating diagnosis for Oliver Battersby on Coronation Street

    Leanne and Steve are told their son has a life-threatening illness on Corrie




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    NIH-funded study links early sleep problems to autism diagnosis among at-risk children

    A small study funded by the National Institutes of Health suggests that sleep problems among children who have a sibling with autism spectrum disorder (ASD) may further raise the likelihood of an ASD diagnosis, compared to at-risk children who do not have difficulty sleeping. Previous research has shown that young children who have a sibling with ASD are at a higher risk for also being diagnosed with the condition.




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    NIAB develops portable 'ECovSens' tool for diagnosis of COVID─19 antigens from saliva




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    Telomere-based risk models for the early diagnosis of clinically significant prostate cancer




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    Correction: Importance of gastric cancer for the diagnosis and surveillance of Japanese Lynch syndrome patients




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    High-priced drugs in Medicare Part D: Diagnosis and prescription

    Drug pricing in the U.S. is a persistently vexing policy problem. High drug prices stress consumers, payers, employers and “budgeteers”. At the same time the public demands new and better treatments, and the scientific advances that make such treatments possible. The pharmaceutical industry insists, with merit, that delivering new improved treatments, and in some cases…

           




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    Big Data for improved diagnosis of poverty: A case study of Senegal


    It is estimated that there are 95 mobile phone subscriptions per 100 inhabitants worldwide, and this boom has not been lost on the developing world, where the number of mobile users has also grown at rocket speed. In fact, in recent years the information communication technology (ICT) revolution has provided opportunities leading to “death of distance,” allowing many obstacles to better livelihoods, especially for those in remote regions, to disappear. Remarkably, though, the huge proportion of poverty-stricken populations in so many of those same regions persists.

    How might, then, we think differently on the relationship between these two ideas? Can and how might ICTs act as an engine for eradicating poverty and improving the quality of life in terms of better livelihoods, strong education outcomes, and quality health? Do today's communication technologies hold such potential?

    In particular, the mobile phone’s accessibility and use creates and provides us with an unprecedented volume of data on social interactions, mobility, and more. So, we ask: Can this data help us better understand, characterize, and alleviate poverty?

    Mapping call data records, mobility, and economic activity

    The first step towards alleviating poverty is to generate poverty maps. Currently, poverty maps are created using nationally representative household surveys, which require manpower and time. Such maps are generated at a coarse regional resolution and continue to lag for countries in sub-Saharan Africa compared to the rest of the world.

    As call data records (CDRs) allow a view of the communication and mobility patterns of people at an unprecedented scale, we show how this data can be used to create much more detailed poverty maps efficiently and at a finer spatial resolution. Such maps will facilitate improved diagnosis of poverty and will assist public policy planners in initiating appropriate interventions, specifically at the decentralized level, to eradicate human poverty and ensure a higher quality of life.

    How can we get such high resolution poverty maps from CDR data?

    In order to create these detailed poverty maps, we first define the virtual network of a country as a “who-calls-whom” network. This signifies the macro-level view of connections or social ties between people, dissemination of information or knowledge, or dispersal of services. As calls are placed for a variety of reasons, including request for resources, information dissemination, personal etc., CDRs provide an interesting way to construct a virtual network for Senegal.

    We start by quantifying the accessibility of mobile connectivity in Senegal, both spatially and across the population, using the CDR data. This quantification measures the amount of communication across various regions in Senegal. The result is a virtual network for Senegal, which is depicted in Figure 1. The circles in the map correspond to regional capitals, and the edges correspond to volume of mobile communication between them. Thicker edges mean higher volume of communication. Bigger circles mean heavier incoming and outgoing communication for that region.

    Figure 1: Virtual network for Senegal with MPI as an overlay

    Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015

    Figure 1 also shows the regional poverty index[1] as an overlay. A high poverty index corresponds to very poor regions, which are shown lighter green on the map. It is evident that regions with plenty of strong edges have lower poverty, while most poor regions appear isolated. 

    Now, how can we give a more detailed look at the distribution of poverty? Using the virtual network, we extract quantitative metrics indicating the centrality of each region in Senegal. We then calculate centrality measures of all the arrondissements[2] within a region. We then correlate these regional centrality measures with the poverty index to build a regression model. Using the regression model, we predict the poverty index for each arrondissement.

    Figure 2 shows the poverty map generated by our model for Senegal at an arrondissement level. It is interesting to see finer disaggregation of poverty to identify pockets of arrondissement, which are most in need of sustained growth. The poorer arrondissements are shown lighter green in color with high values for the poverty index.

    Figure 2: Predicted poverty map at the arrondissement level for Senegal with MPI as an overlay

    Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015.

    What is next for call data records and other Big Data in relation to eradicating poverty and improving the human development?

    This investigation is only the beginning. Since poverty is a complex phenomenon, poverty maps showcasing multiple perspectives, such as ours, provide policymakers with better insights for effective responses for poverty eradication. As noted above, these maps can be used for decomposing information on deprivation of health, education, and living standards—the main indicators of human development index.

    Even more particularly, we believe that this Big Data and our models can generate disaggregated poverty maps for Senegal based on gender, the urban/rural gap, or ethnic/social divisions. Such poverty maps will assist in policy planning for inclusive and sustained growth of all sections of society. Our methodology is generic and can be used to study other socio-economic indicators of the society.

    Like many uses of Big Data, our model is in its nascent stages. Currently, we are working towards testing our methodology at the ground level in Senegal, so that it can be further updated based on the needs of the people and developmental interventions can be planned. The pilot project will help to "replicate" our methodology in other underdeveloped countries.

    In the forthcoming post-2015 development agenda intergovernmental negotiations, the United Nations would like to ensure the “measurability, achievability of the targets” along with identification of 'technically rigorous indicators' for development. It is in this context that Big Data can be extremely helpful in tackling extreme poverty.

    Note: This examination was part of the "Data for Development Senegal" Challenge, which focused on how to use Big Data for grass-root development. We took part in the Data Challenge, which was held in conjunction with NetMob 2015 at MIT from April 7-10, 2015. Our team received the National Statistics prize for our project titled, "Virtual Network and Poverty Analysis in Senegal.” This blog reflects the views of the authors only and does not reflect the views of the Africa Growth Initiative.


    [1] As a measure of poverty, we have used the Multidimensional Poverty Index (MPI), which is a composite of 10 indicators across the three areas: education (years of schooling, school enrollment), health (malnutrition, child mortality), and living conditions.

    [2] Senegal is divided into 14 administrative regions, which are further divided into 123 arrondissements.

    Authors

    • Neeti Pokhriyal
    • Wen Dong
    • Venu Govindaraju
         
     
     




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