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Intestinal and Respiratory Microbiome Changes in Preterm Infants with Bronchopulmonary Dysplasia: A Systematic Review and Meta-Analysis

2024· review· en· W4400301092 on OpenAlexaboutno aff
Xuezhi Liu, Hong Li

Bibliographic record

VenueIndian Journal of Pharmaceutical Sciences · 2024
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsBronchopulmonary dysplasiaMeta-analysisMicrobiomeMedicineRespiratory systemIntensive care medicineBiologyBioinformaticsInternal medicineGestational agePregnancyGenetics

Abstract

fetched live from OpenAlex

There is controversy about the changes of intestinal and respiratory microbiota characteristics in patients with bronchopulmonary dysplasia and some studies have reported inconsistent or even contrary results. We performed a meta-analysis to explore the characteristics of the respiratory tract and gut microbiota in preterm infants with bronchopulmonary dysplasia. A complete search of the database (last updated on September 1, 2023) was conducted based on the preferred reporting project statement for systematic review and meta-analysis to identify eligible case-control studies that tested the gut and respiratory tract microbiota of patients with bronchopulmonary dysplasia. The results of meta-analysis were expressed as effect size and 95 % confidence interval. The bias control was assessed using Newcastle-Ottawa scale and funnel plot analysis. Seven studies (Newcastle-Ottawa scale score range from 6-8) were included, three studies (n=76, observation group n=36/control group n=40) collected intestinal microbial samples, and four studies (n=98, observation group n=46/control group n=52) collected respiratory tract microbial samples. The results showed that the richness and diversity of respiratory tract and intestinal microbial communities were decreased in bronchopulmonary dysplasia patients. In this meta-analysis, we analyzed the characteristics of respiratory tract and intestinal microbiota in premature infants with bronchopulmonary dysplasia, and found that the abundance and diversity of respiratory tract and intestinal microbiota in bronchopulmonary dysplasia patients were reduced. The intestinal microflora of Firmicutes, Actinobacteria, Veillonella and Escherichia/ Shigella in premature infants with bronchopulmonary dysplasia increased. Proteobacteria, Bacteroidetes, Cyanobacteria, Enterococcus, Enterobacteriaceae and Streptococcus were reduced. Firmicutes increased in the respiratory tract of premature infants with bronchopulmonary dysplasia, while Proteobacteria, Bacteroidetes and Cyanobacteria decreased. In addition, the characteristics of respiratory microbiome in premature infants with bronchopulmonary dysplasia may be affected by region or race.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.709
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.228
GPT teacher head0.497
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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