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Record W2185047795

Vitamin D nutrient to treat TB begs the prevention question

2011· article· en· W2185047795 on OpenAlexaboutno aff
Adrian R. Martineau

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculosisVitamin D and neurologyMycobacterium tuberculosisSputumContext (archaeology)PopulationVitaminvitamin D deficiencyInternal medicineCholecalciferolPhysiologyEnvironmental healthPathologyBiology
DOInot available

Abstract

fetched live from OpenAlex

In The Lancet, Adrian Martineau and colleagues report a randomised multicentre trial of vitamin D3 (colecalciferol) as adjunctive therapy for active tuberculosis, This study, and fi ve other ongoing trials, were all designed to show faster recovery from active infection with Mycobacterium tuberculosis. Martineau and colleagues showed that the addition of vitamin D3 shortened the time to sputum clearance by 1 week, from 43·5 to 36·0 days, but the decrease did not reach conventional statistical signifi cance. For patients possessing the tt genotype of the TaqI vitamin D receptor polymorphism, vitamin D3 produced a remarkable acceleration in clearance of mycobacilli from sputum. For the other subgroups with active disease in all the trials, the conclusion must await a future meta-analysis. However, no one is addressing whether activation of latent tuberculosis might have been prevented if vitamin D nutritional status had not been so low in these patients. A decade ago, two of the authors of Martineau and colleagues’ paper reported interactions between TaqI genotypes, vitamin D nutritional status, and susceptibility to tuberculosis. It seems that nothing, in this context, has changed for patients with tuberculosis, because their serum 25-hydroxyvitamin D concen trations are still well below the threshold for rickets (25 nmol/L). Nutritional guidelines and public health policies in the UK have failed to prevent such dismal levels of 25-hydroxyvitamin D occurring. Consistently, patients with tuberculosis have lower 25-hydroxyvitamin D concentrations than does the control population. In Canada and the USA, new dietary recommendations for vitamin D have recently been published by the Institute of Medicine. The report summarised the evidence about vitamin D and tuberculosis but concluded that: “In the absence of verifi able dose–response data from RCTs [randomised controlled trials] a conclusion about asthma, autoimmune, or infectious diseases as indicators for DRI [daily recommended intake] development cannot be reached.” The report says that before implementing dietary guidance that might prevent disease, policy makers not only demand evidence from controlled clinical trials but also want those trials to investigate several doses. ClinicalTrials.gov does not include any trial whose outcome is prevention of tuberculosis activation. However, the doses of vitamin D used by Martineau and colleagues are in a range that could be applied to prevention, because the doses align with physio logical replacement. Although the doses of vitamin D3 used (2·5 mg at 0, 14, 28, and 42 days) sound high in a dietary context, the average serum 25-hydroxyvitamin D at the end of the 56 days was 101·4 nmol/L, which is not even halfway up the range of 25-hydroxyvitamin D attainable by exposing skin to sunshine. This modest 25-hydroxyvitamin D response in relation to dose is because the eff ective half-life of vitamin D is at least 56 days. Therefore the dose was not administered long enough to produce the full eff ect of that dose. Martineau and colleagues’ and the similar ongoing trials are essentially addressing the question of whether physiological blood levels of the nutrient can function therapeutically. No matter what the eventual outcome of the tuberculosis meta-analysis might be, the results will continue to beg the question: why had patients with tuberculosis not been maintained at the higher 25-hydroxyvitamin D concentrations before the infection became active? The problem is that the sort of research that stands a realistic chance of getting funded is fundamentally diff erent from that demanded by those who establish policy, such as the nutrient intakes pertinent to public health and disease prevention. Tuberculosis gives an Published Online January 6, 2011 DOI:10.1016/S01406736(10)62300-8

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)0.018
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.018
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.001
Science and technology studies0.0020.006
Scholarly communication0.0040.011
Open science0.0030.002
Research integrity0.0140.021
Insufficient payload (model declined to judge)0.0100.005

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 head0.048
GPT teacher head0.341
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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