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Record W2588906490 · doi:10.1136/bmj.i6583

Vitamin D supplementation to prevent acute respiratory tract infections: systematic review and meta-analysis of individual participant data

2017· review· en· W2588906490 on OpenAlexaff
Adrian R. Martineau, David A. Jolliffe, Richard Hooper, Lauren Greenberg, John F. Aloia, Peter Bergman, Gal Dubnov‐Raz, Susanna Esposito, Davaasambuu Ganmaa, Adit A. Ginde, Emma C Goodall, Cameron Grant, Chris Griffiths, Wim Janssens, Ilkka Laaksi, Semira Manaseki‐Holland, David T. Mauger, David R. Murdoch, Rachel Ε. Neale, Judy R. Rees, Steve Simpson, Iwona Stelmach, Geeta Trilok‐Kumar, Mitsuyoshi Urashima, Carlos A. Camargo

Bibliographic record

VenueBMJ · 2017
Typereview
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMcMaster University
FundersHealth Technology Assessment ProgrammeNational Heart, Lung, and Blood InstituteNational Institute for Health and Care Research
KeywordsMedicineOdds ratioPlaceboMeta-analysisInternal medicineRespiratory tract infectionsConfidence intervalRandomized controlled trialSubgroup analysisClinical trialVitaminIncidence (geometry)Respiratory system

Abstract

fetched live from OpenAlex

<b>Objectives</b>&nbsp;To assess the overall effect of vitamin D supplementation on risk of acute respiratory tract infection, and to identify factors modifying this effect. <b>Design</b>&nbsp;Systematic review and meta-analysis of individual participant data (IPD) from randomised controlled trials. <b>Data sources</b>&nbsp;Medline, Embase, the Cochrane Central Register of Controlled Trials, Web of Science, ClinicalTrials.gov, and the International Standard Randomised Controlled Trials Number registry from inception to December 2015. <b>Eligibility criteria for study selection</b>&nbsp;Randomised, double blind, placebo controlled trials of supplementation with vitamin D<sub>3</sub> or vitamin D<sub>2</sub> of any duration were eligible for inclusion if they had been approved by a research ethics committee and if data on incidence of acute respiratory tract infection were collected prospectively and prespecified as an efficacy outcome. <b>Results</b>&nbsp;25 eligible randomised controlled trials (total 11 321 participants, aged 0 to 95 years) were identified. IPD were obtained for 10 933 (96.6%) participants. Vitamin D supplementation reduced the risk of acute respiratory tract infection among all participants (adjusted odds ratio 0.88, 95% confidence interval 0.81 to 0.96; P for heterogeneity &lt;0.001). In subgroup analysis, protective effects were seen in those receiving daily or weekly vitamin D without additional bolus doses (adjusted odds ratio 0.81, 0.72 to 0.91) but not in those receiving one or more bolus doses (adjusted odds ratio 0.97, 0.86 to 1.10; P for interaction=0.05). Among those receiving daily or weekly vitamin D, protective effects were stronger in those with baseline 25-hydroxyvitamin D levels &lt;25 nmol/L (adjusted odds ratio 0.30, 0.17 to 0.53) than in those with baseline 25-hydroxyvitamin D levels ≥25 nmol/L (adjusted odds ratio 0.75, 0.60 to 0.95; P for interaction=0.006). Vitamin D did not influence the proportion of participants experiencing at least one serious adverse event (adjusted odds ratio 0.98, 0.80 to 1.20, P=0.83). The body of evidence contributing to these analyses was assessed as being of high quality. <b>Conclusions</b>&nbsp;Vitamin D supplementation was safe and it protected against acute respiratory tract infection overall. Patients who were very vitamin D deficient and those not receiving bolus doses experienced the most benefit. <b>Systematic review registration</b>&nbsp;PROSPERO CRD42014013953.

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)0.027
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.069
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0180.035
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
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 head0.561
GPT teacher head0.563
Teacher spread0.002 · 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 designMeta-analysis
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

Citations2,063
Published2017
Admission routes1
Has abstractyes

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