Evidence map›Paper›PMID 38956483›Full record

ArticleBMC pediatrics2024

Diagnosis of cystic fibrosis: a high heterogeneity of symptoms and genotypes in a Brazil population.

Daniela Gois Meneses, Fábia Regina Dos Santos, Anne Jardim Botelho, Luciana Mota Bispo, Camilla Guerra Matos, Vynicius Goltran Sobral Propheta, Alexia Ferreira Rodrigues, Géssica Uruga Oliveira, Angela Maria da Silva, Ricardo Queiroz Gurgel

Abstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Newborn screening versus clinical diagnosis: comparison of nutritional status in children with cystic fibrosis - a longitudinal study.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2026
    Observational
  2. Role of theInternational journal of molecular sciences · 2025
    Article
  3. Article
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

10 authors.

Daniela Gois Meneses *Department of Medicine, Federal University of Sergipe, Aracaju, Sergipe, Brazil. danielagoismeneses@gmail.com.
Fábia Regina Dos Santos *Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, Brazil.
Anne Jardim Botelho *Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, Brazil.
Luciana Mota Bispo *Center for Biological and Health Sciences (NPGME), University Hospital, Federal University of Sergipe, Rua Cláudio Batista 505, Palestina, Aracaju, Sergipe, CEP 49060-025, Brazil.
Camilla Guerra Matos *Center for Biological and Health Sciences (NPGME), University Hospital, Federal University of Sergipe, Rua Cláudio Batista 505, Palestina, Aracaju, Sergipe, CEP 49060-025, Brazil.
Vynicius Goltran Sobral Propheta *Center for Biological and Health Sciences (NPGME), University Hospital, Federal University of Sergipe, Rua Cláudio Batista 505, Palestina, Aracaju, Sergipe, CEP 49060-025, Brazil.
Alexia Ferreira Rodrigues *Center for Biological and Health Sciences (NPGME), University Hospital, Federal University of Sergipe, Rua Cláudio Batista 505, Palestina, Aracaju, Sergipe, CEP 49060-025, Brazil.
Géssica Uruga Oliveira *Center for Biological and Health Sciences (NPGME), University Hospital, Federal University of Sergipe, Rua Cláudio Batista 505, Palestina, Aracaju, Sergipe, CEP 49060-025, Brazil.
Angela Maria da Silva *Department of Medicine, Federal University of Sergipe, Aracaju, Sergipe, Brazil.
Ricardo Queiroz Gurgel *Department of Medicine, Federal University of Sergipe, Aracaju, Sergipe, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn highly multiracial populations with inadequate newborn screening, knowledge of the various phenotypic presentations of Cystic Fibrosis (CF) can help reach an early diagnosis. This study aims to describe phenotypes and genotypes at the time of CF diagnosis in a state in the Northeast Region of Brazil.

methodsRetrospective cross-sectional study. Clinical data were extracted from the medical records of CF patients. Clinical, laboratory, and genotypic characteristics were described for patients admitted to a tertiary referral center between 2007 and 2021.

resultsFifty-eight (58) patients were included in the study, 53.5% of whom were diagnosed through clinical suspicion. The median age at diagnosis was 4.7 months (IQR: 1.5-14.8 months). Five patients had false-negative results in the newborn screening. Faltering growth was the most frequent clinical manifestation. Bronchiectasis and a history of pneumonia predominated in those older than ten, while thinness, underweight, and electrolyte imbalances were more frequent in children under two. Sequencing of the CFTR gene identified 27 genotypes, with at least one class I-III variant in all patients, and nine variants that are rare, previously undescribed, or have uncertain significance (619delA, T12991, K162Q, 3195del6, 1678del > T, 124del123bp, 3121-3113 A > T). The most frequent alleles were p.Phe508del, p.Gly542*, p.Arg334Trp, and p.Ser549Arg.

conclusionsMalnutrition and electrolyte imbalances were the most frequent phenotypes for children < 2 years and were associated with genotypes including 2 class I-III variants. Rare and previously undescribed variants were identified. The p.Gly542*, p.Arg334Trp, and p.Ser549Arg alleles were among the most frequent variants in this population.

Indexed as

Cystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorGenotypePhenotypeBrazilChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMutationNeonatal ScreeningRetrospective StudiesCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorCFTR proteinCystic fibrosisDiagnosisPhenotypesVariants

Identifiers

PMID38956483
PMCPMC11218259

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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.