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Enregistrement W3096900265 · doi:10.1182/blood-2020-141624

Effectiveness of Comprehensive Newborn Screening Program of Sickle Cell Disease on the Childhood Morbidity and Mortality of the Disease: A Systematic Review and Meta-Analysis

2020· review· en· W3096900265 sur OpenAlexaboutno aff
Almuhalb Ismail, Baba Inusa

Notice bibliographique

RevueBlood · 2020
Typereview
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePediatricsCochrane LibraryNewborn screeningCohortDiseaseSystematic reviewCohort studyMEDLINEMeta-analysisMortality rateIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Sickle cell disease is a multisystem disorder associated with severe complications and premature death. To address the morbidity, disability, and mortality of inherited disorders, the implementation of newborn screening programmes are considered pivotal public health service intervention. Due to ethical consideration there are no RCTs that prove the benefits of comprehensive newborn screening (Lees, Davies and Dezateux, 2000). However, many evidences suggested early diagnosis and treatment can improve outcomes and survival of patients (Gaston et al., 1986; King et al., 2007). As such, an economic analysis reviewed many studies, cited that the pre-clinical diagnosis of SCD had twofold cost-effectiveness compared to symptomatic diagnosis (Grosse, Olney and Baily, 2005). The aim of this study was to assess the impact of the newborn screening program on the morbidity and mortality of disease among the children by assembling results from cohort studies. DESIGN AND METHODS The systematic review was performed in accordance with the PRISMA guidelines. Medline, EMBASE, and Cochrane Library were searched for cohort studies that addressed the sickle cell disease morbidity and mortality of the disease among children will consider eligible. The phenomena of interest were mortality, infection, stroke PICO have been translated to keywords and MeSH terms with search limit under 18 years old and date set until July 2020. Two reviewers assessed the quality of included cohort studies individually using Newcastle-Ottawa scale (NOS). Subsequently, the data were extracted in Microsoft Word. In case of disagreement, were settled by discussion. The incidence rates per 100 patient year and 95% confidence intervals were pooled to random-effects meta-analysis using RevMan5.4. Studies' heterogeneity identified by chi-squared test and the I2 statistic. RESULTS Eight studies included that met inclusion criteria two studies were from USA (Quinn et al., 2008 and Gill et al., 1995) , 1 from UK (Telfer et al., 2007), 1 from Belgium(Lê et al., 2010), 1 from Jamaica (King et al 2007), 1 from Africa (Rahimy et al, 2003), 1 from India (Upadhye et al., 2016) and 1 from Brazil (Rezende et al., 2018). The total number of participants in the 8 cohort studies were 2377 SCD patients (mean 297.1 and SE 73.9), that includes patients with the four common SCD genotypes: HbSS, HbSC, Hb Sβ+ and HbSβ0. The median age was 6.5 year (IQR: 4.95), with 9623 total years of follow up. The pooled incidence rate of SCD associated mortality per 100 patient year was 0.65 (95%CI 0.35-0.94; I2= 89%; p < 0.00001). While the infection incidence rate 17.74 (95%CI; 11.57-23.91; I2= 100%; p< 0.00001), Stroke 1.04(95% CI 0.60-1.47; I2= 78%; p< 0.0001), Acute chest syndrome 12.55(95% CI; 7.70-17.41; I2 =97%; p< 0.00001), Acute splenic sequestration crisis 1.95 (95% CI 1.31-2.59; I2= 69%; p=0.003) and Vaso-occlusive crisis 52.45(95% CI 45.67-59.14; I2= 92%; p< 0.00001). DISCUSSION In this systematic review and meta-analysis combining 8 cohort studies, pooled mortality rate was 0.65 per 100 patient-year, similar to (0.64) meta-analysis of 15 studies reported previously (Wastnedge, 2018). Furthermore, our study reported that the total infection rate was 17.7 per 100 patient-year. However, this result of infection cannot be considered a true gold standard and due to the variation in definitions used and other methodological heterogeneity. For example, Africa-based cohort study reported 23.2 per 100 patient-year attacks of malaria and fatal pneumococcal meningitis despite the use of antimalarial prophylaxis and anti-pneumococcal vaccine (Rahimy et al., 2003). Another notable result, Hemoglobin SC cohort study stated that the incidence of infections was, 62.2 episodes (59.8-64.6) per 100 patient-years. They assumed that might be due to higher impaired splenic function in HbSC patients compared to HbSS (Rezende et al., 2018). CONCLUSION This first systematic review and meta-analysis of cohort studies provided evidence supporting the sickle cell newborn screening program. However, still infection and pain episodes are the highest incidence symptoms. Despite children survival increasingly improved, disease burden remains at a peak in developing countries. One limitation of this study is high heterogeneity and this mainly due to countries disparity of included studies and variance in definition of events, particularly infection. Table Disclosures Inusa: Novartis: Honoraria, Other: Steering committee participation, Research Funding, Speakers Bureau; Global Blood Therapeutics: Honoraria, Other: Steering committee participation, Research Funding, Speakers Bureau; Bluebird bio: Research Funding; AstraZeneca: Honoraria, Other: Steering committee participation, Research Funding, Speakers Bureau; Vertex: Research Funding.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,029
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: Méta-analyse
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,074

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,029
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0240,045
Bibliométrie0,0070,007
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0030,002
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,047
Tête enseignante GPT0,318
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeMéta-analyse
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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