Evidence map›Paper›PMID 35894192›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2022

[Clinical and gene mutation features of cystic fibrosis: an analysis of 8 cases].

Na Zhang, Jian-Hua Liu, Ya-Juan Chu, Jin-Feng Shuai, Kun-Ling Huang

Open access · greenAbstract read
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. [Cystic fibrosis primarily presenting with pseudo-Bartter syndrome: a report of three cases and literature review].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
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

5 authors at 1 institution in 1 country.

Na ZhangGraduate School of Hebei Medical University, Shijiazhuang 050017, China.
Jian-Hua Liu
Ya-Juan Chu
Jin-Feng Shuai
Kun-Ling Huang
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the clinical features and gene mutation sites of children with cystic fibrosis (CF), in order to improve the understanding of CF to reduce misdiagnosis and missed diagnosis.

methodsA retrospective analysis was performed on the medical records of 8 children with CF who were diagnosed in Hebei Children's Hospital from 2018 to 2021.

resultsAmong the 8 children with CF, there were 5 boys and 3 girls, with an age of 3-48 months (median 8 months) at diagnosis, and the age of onset ranged from 0 to 24 months (median 2.5 months). Clinical manifestations included recurrent respiratory infection in 7 children, sinusitis in 3 children, bronchiectasis in 4 children, diarrhea in 8 children, fatty diarrhea in 3 children, suspected pancreatic insufficiency in 6 children, pancreatic cystic fibrosis in 1 child, malnutrition in 5 children, and pseudo-Bartter syndrome in 4 children. The most common respiratory pathogens were

conclusionsp.G970D is the most common mutation type in children with CF. CF should be considered for children who have recurrent respiratory infection or test positive for

Indexed as

Bartter SyndromeCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorRespiratory Tract InfectionsChild, PreschoolDiarrheaFemaleHumansInfantInfant, NewbornMaleMutationRetrospective StudiesCystic Fibrosis Transmembrane Conductance RegulatorChildCystic fibrosisGene mutationPancreatic insufficiencyRecurrent respiratory infection

Identifiers

PMID35894192
PMCPMC9336621
OpenAlexW4288192768

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.