Evidence map›Paper›PMID 31830127›Full record

ArticlePloS one2019

Use of an automated pyrosequencing technique for confirmation of sickle cell disease.

Camila Cruz de Martino, Cecilia Salete Alencar, Paula Loureiro, Anna Barbara de Freitas Carneiro-Proietti, Claudia de Alvarenga Máximo, Rosimere Afonso Mota, Daniela Oliveira Werneck Rodrigues, Nelson Gaburo Junior, Shannon Kelly, Ester Cerdeira Sabino and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  8. Hb S/Hemoglobin · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Camila Cruz de MartinoInstituto de Medicina Tropical de São Paulo, Laboratório de Parasitologia, LIM 46, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.ORCID 0000-0003-1785-4945
Cecilia Salete AlencarLaboratório de Investigacao Medica, LIM 03, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, São Paulo, Brazil.
Paula LoureiroHemope, Recife, Pernambuco, Brazil.
Anna Barbara de Freitas Carneiro-ProiettiHemominas, Belo Horizonte, Minas Gerais, Brazil.
Claudia de Alvarenga MáximoHemorio, Rio de Janeiro, Rio de Janeiro, Brazil.
Rosimere Afonso MotaHemominas, Montes Claros, Minas Gerais, Brazil.
Daniela Oliveira Werneck RodriguesHemominas, Juiz de Fora, Minas Gerais, Brazil.
Nelson Gaburo JuniorInstituto de Medicina Tropical de São Paulo, Laboratório de Parasitologia, LIM 46, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.
Shannon KellyVitalant Research Institute, San Francisco, California, United States of America.
Ester Cerdeira SabinoInstituto de Medicina Tropical de São Paulo, Laboratório de Parasitologia, LIM 46, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.
International Component of the NHLBI Recipient Epidemiology and Donor Evaluation Study (REDS-III)
Fundação Centro de Hematologia e Hemoterapia de Minas Gerais · BRUniversidade de São Paulo · BRFundação Hemopa · BRHemorio · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRPacific Research Institute · US

Funding

NHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007I
6 · The paper itself

Abstract

backgroundThe diagnosis of sickle cell disease (SCD) is made by hemoglobin assays such as high-performance liquid chromatography (HPLC), isoelectric focusing and cellulose acetate or citrate agar electrophoresis. These assays are easy to perform and used in large-scale newborn screening in many countries. These tests however may not easily differentiate Sβ0 thalassemia from SS or identify other hemoglobin variants, and in this case, hemoglobin (HBB) gene sequencing may be necessary.

objectivesTo develop a high throughput DNA based confirmatory assay for SCD and to detect mutations in the HBB gene.

methodsWe developed an automated pyrosequencing technique (PyS) based on QIAGEN technology (Hilden, Germany) to detect homozygous or heterozygous hemoglobin S mutations as well as hemoglobin C mutations. The technique was tested on 2,748 samples from patients enrolled in a multi-center SCD cohort in Brazil. Patients were previously tested using HPLC to diagnose SCD as part of routine clinical care. Any subjects with discrepant results between HPLC and PyS or with heterozygous hemoglobin S detected had Sanger sequencing of the HBB gene.

resultsWe identified 168 samples with discrepant results between HPLC and PyS and 100 with concordant PyS = heterozygous S and HPLC, which would suggest SB-thalassemia or other heterozygous S variants. The PyS assay correctly identified 1906 (98.7%) of the 1930 HbSS and 628 (98.7%) of the 636 HbSC samples. Of the 179 remaining samples, PyS correctly indicated S heterozygosis in 165 (92.2%). Of the 165 heterozygous S samples confirmed by Sanger as consistent with Sβ thalassemia genotype, 84 samples were classified as Sβ0 thalassemia and 81 as Sβ+ thalassemia. The most frequent beta thalassemia mutations of Sβ0 and Sβ+ were HBB: c.118C>T (Gln40Stop) and HBB c.92 + 6T> C, respectively. DISCUSSION: The PyS proved to be satisfactory for large-scale confirmatory testing of hemoglobin mutation. Moreover, with this study we were able to describe the most common β+ and β0 mutations in SCD patients with Sβ-thalassemia in a large multi-institutional SCD cohort in Brazil.

Indexed as

MutationAnemia, Sickle Cellbeta-ThalassemiaBrazilCohort StudiesGenotypeHemoglobin, SickleHigh-Throughput Nucleotide SequencingHumansHemoglobin, Sickle

Identifiers

PMID31830127
PMCPMC6907837
OpenAlexW3005493529

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.