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M42 Ramadan fasting for patients with chronic respiratory diseases: a systematic review and consensus recommendations for healthcare professionals

2024· review· en· W4404046104 on OpenAlexaff
Fauzia Anis Khan, S Toor, Rayid Abdulqawi, Huzaifa Adamali, James D. Chalmers, N Chaudhuri, Nazim Ghouri, Gísli Jenkins, Anna Murphy, N Rahman, Imran Satia, Salman Siddiqui, Salman Waqar

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's Hospital
Fundersnot available
KeywordsHealth professionalsHealth careMedicineSystematic reviewIntensive care medicineMEDLINEPolitical science

Abstract

fetched live from OpenAlex

<h3>Background</h3> Ramadan, observed by nearly two billion Muslims worldwide, involves fasting from dawn to sunset, presenting challenges for individuals with chronic respiratory diseases due to potential risks from altered medication regimens and oral intake restrictions. This study aimed to synthesise the current evidence to develop consensus recommendations for managing patients with asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease (ILD), and bronchiectasis during Ramadan. <h3>Methods</h3> A comprehensive search of electronic databases was conducted including MEDLINE, EMBASE and Google Scholar, according to a pre-specified protocol (PROSPERO CRD42024532759) to identify studies on the outcomes of Ramadan fasting in individuals with chronic respiratory diseases. The findings informed consensus recommendations stratified by the risk of adverse outcomes using the IDF-DAR risk assessment criteria. An international expert group including both medical and religious experts, was convened to refine these guidelines, achieving consensus approval from all authors. <h3>Results</h3> 11 studies met the inclusion criteria, primarily addressing asthma and COPD, with no relevant studies found on ILD or bronchiectasis. The studies revealed that fasting did not significantly impact hospitalisation rates or lung function tests in individuals with stable asthma and COPD. However, the studies were limited by small sample sizes and methodological limitations, limiting the generalisability of findings. To develop the consensus recommendations, a multinational panel of 12 reviewers was assembled, comprising both muslim and non-muslim experts. The panel included respiratory physicians, general practitioners, and religious scholars, ensuring recommendations were both religiously sensitive and medically robust. 19 recommendations were developed to support patients considering fasting, emphasising pre-Ramadan consultations, individualised risk assessments, and adjustments to medication regimens to accommodate fasting hours. <h3>Conclusion</h3> This systematic review highlights the need for larger, well-designed, studies to better understand the implications of Ramadan fasting across chronic respiratory diseases, particularly ILD and bronchiectasis. The developed recommendations offer a structured approach to assess the risks associated with fasting, ensuring healthcare providers can offer informed and safe guidance during Ramadan. These recommendations should be applied with consideration of individual clinical judgement and patient preferences. Future research should aim to fill the gaps identified, supporting evidence-based guidelines that reconcile medical and religious considerations.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.078
GPT teacher head0.444
Teacher spread0.366 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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