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Record W6901673346 · doi:10.60692/rvj8x-kta60

Comparison of respiratory pathogen colonization and antimicrobial susceptibility in people with cystic fibrosis versus non cystic fibrosis bronchiectasis: A systematic review

2020· article· en· W6901673346 on OpenAlexaboutno aff

Bibliographic record

VenueGreater South Information System · 2020
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsBronchiectasisCystic fibrosisAntibioticsRespiratory tractAntimicrobialRespiratory tract infectionsRespiratory disease

Abstract

fetched live from OpenAlex

Abstract Background Both cystic fibrosis (CF) and non-cystic fibrosis bronchiectasis are characterized by permanent bronchial dilation, leading to impaired mucociliary clearance and development of chronic infections. Although the core airway microbiota in both CF and non-CF bronchiectasis may be similar, particular satellite microbes are associated with specific conditions. Moreover, there are several factors, which may be responsible for the disparity in antibiotic susceptibility profile between the CF and non-CF populations. Hence comparing the microbiota and antibiotic susceptibility pattern in CF bronchiectasis with non-CF bronchiectasis would aid in improved management of both the conditions. Methods Two authors will independently search the electronic databases PubMed and EMBASE for studies reporting bacterial colonization of the respiratory tract determined by examination of any respiratory tract specimen, by conventional bacterial culture or specialized techniques; and/or antimicrobial susceptibility testing in adults and children diagnosed with bronchiectasis in either CF subjects or non-CF subjects. The authors will independently assess the risk of bias for each included study using the Newcastle Ottawa Scale (NOS). We will present the data with descriptive statistics and provide pooled estimates of outcome parameters, wherever it is feasible to perform meta-analysis using a random effects model. Heterogeneity in studies will be explored by visual inspection of forest plot as well as using the Higgins and Thompson I 2 method. We will contact the corresponding authors of studies where data is/are missing and try to obtain the missing data. Discussion To date, there are no locally applicable evidence-based guidelines for antimicrobial treatment of non-CF bronchiectasis patients. In general, treatment in non-CF bronchiectasis is based on extrapolation of clinical trials done in subjects with CF bronchiectasis. An insight into the microbiota and antimicrobial susceptibility patterns against specific organisms in both the conditions would facilitate appropriate rather than empiric therapy, and hopefully reduce the burden of antimicrobial resistance created by rampant usage of antibiotics. Therefore, this systematic review is being undertaken to compare the respiratory tract colonization and antibacterial susceptibility pattern in people with cystic fibrosis versus non-cystic fibrosis bronchiectasis. Systematic review registration: The protocol was submitted for publication in PROSPERO on June 26, 2020 (PROSPERO ID: 193859).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0130.014
Bibliometrics0.0080.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.033
GPT teacher head0.282
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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
Published2020
Admission routes1
Has abstractyes

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