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Record W4388079500 · doi:10.29390/001c.89093

The effectiveness of hyaluronic acid in reducing adverse effects associated with inhaled hypertonic saline therapy in patients with cystic fibrosis: A systematic review and meta-analysis

2023· review· en· W4388079500 on OpenAlexvenueaboutno aff
Sana Arshid, Saad Ehsan Ullah, Junaid Imran, Meeran Asher Syed, Nicole Gousy, Sukhman Boparai, Mudassir Shoaib, Bidhan Bikram Shah, Aadarsh Netha

Bibliographic record

VenueCanadian Journal of Respiratory Therapy · 2023
Typereview
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypertonic salineAdverse effectMeta-analysisRelative riskRandomized controlled trialInternal medicinePopulationConfidence interval

Abstract

fetched live from OpenAlex

Background Inhaled hypertonic saline (HS) is an effective mucolytic agent in patients with cystic fibrosis (CF). However, adverse events can impair the clinical utility of hypertonic saline (HS) in this patient population. In this study, we aimed to investigate the effectiveness of hyaluronic acid (HA) in reducing these adverse events. Methods A literature search was conducted across three electronic databases (Medline, Cochrane Central, and EMBASE) from inception through February 2023. Randomized controlled trials (RCTs) assessing the impact of hyaluronic acid (HA) in reducing adverse events in patients taking hypertonic saline (HS) for CF were included in the analysis. Outcomes of interest included cough, throat irritation, unpleasant taste, and FEV1. Evaluations were reported as risk ratios (RRs) and mean differences (MDs) with 95% confidence intervals (CI). The Cochrane Risk of Bias Tool (CRBT) was employed to assess the quality of RCTs. The New Castle Ottawa Scale was used to assess the quality of observational studies. Results From the 1960 articles retrieved from the initial search, five relevant studies (n=236 patients) were included in the final analysis. Compared with patients only on HS, patients with HS and HA were significantly less likely to experience cough (RR: 0.45; 95% CI, 0.28–0.72, p =0.001), throat irritation (RR: 0.43; 95% CI, 0.22–0.81, p = 0.009), and unpleasant smell (RR: 0.43; 95% CI, 0.23 – 0.80, p =0.09). In addition, patients with HS with HA had significantly less forced expiratory volume (FEV1) (MD: -2.97; 95% CI, -3.79—2.15, p =0.52) compared to patients only on HS. Discussion The addition of HA to HS was linked to a better tolerability profile. When HS was coupled with HA, there was a reduction in all side effects. This may permit tolerance of the medication in otherwise difficult patients, improve adherence to patients receiving frequent inhalations, and improve therapeutic outcomes. Conclusion The addition of HA is advantageous in CF patients who require continuous HS therapy and have previously shown poor tolerance to therapy.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.322
Teacher spread0.281 · 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.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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