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Record W4319295190 · doi:10.1002/ajhb.23872

Dietary calcium versus vitamin D in rickets: A response to Vlok et al.

2023· letter· en· W4319295190 on OpenAlexaff
Simon Mays, Megan B. Brickley

Bibliographic record

VenueAmerican Journal of Human Biology · 2023
Typeletter
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRicketsCalciumVitamin D and neurologyMedicinevitamin D deficiencyEndocrinologyPhysiologyVitaminInternal medicine

Abstract

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The role of dietary calcium deficiency in rickets' causation was recently discussed in this journal (Vlok et al., 2022). Reviewing some of the biomedical literature, that paper concluded that low dietary calcium might play a prime role. We recently published a review that, in contrast, concluded that the evidence supporting a major role for dietary deficiency of calcium is weak (Mays & Brickley, 2022). In this letter, we argue that failure to engage with key aspects of the literature, including those we highlighted in our paper, and inaccurate citation of sources, have combined to result in the Vlok et al. publication greatly exaggerating the likely role of dietary calcium in rickets in communities both today and in the past. Although Vlok et al. attempt a critique of our review, they do not engage with its core aspect. This was a systematic overview of modern epidemiological studies where it was claimed that rickets was due to dietary calcium deficiency. We emphasized studies with data on serum vitamin D levels (25-OHD) and dietary calcium intake of individuals with active skeletal rickets. Six of the 15 studies we reviewed compared calcium intake in cases and controls; in three, intake was lower in cases. Levels of dietary calcium intake below which rickets lesions occur are unknown. However, data from controls without rickets, and those who have recovered from it, show that ca. 180–200 mg/day do not appear to be associated with bone lesions. In two of the three studies, mean intake of cases was above this level; in one, it was less (156 mg/day). But in two of these three, vitamin D levels were also below (Ahmed et al., 2020) or around (Aggarwal et al., 2012) the threshold associated with rickets (Atapattu et al., 2013), clouding the picture. Fourteen reviewed studies measured serum 25-OHD; in eight, it was similar to or below the threshold for bone lesions. Given the half-life of 25-OHD and the time taken for radiographic healing, perhaps more pertinent than the exact 25-OHD levels is that in eight of 11 studies with cases and controls, active rickets cases showed significantly lower serum 25-OHD. Thus we concluded that evidence from well-conducted epidemiological studies for a role for low dietary calcium, rather than vitamin D deficiency, in rickets in communities was weak. Secondly, Vlok et al. claim that one can distinguish rickets caused by low dietary calcium rather than low vitamin D on the basis of 'low or no' urinary calcium "secretion" (sic), low serum calcium, cure of rickets by calcium supplementation, in combination with non-deficient levels of serum 25-OHD and 1,25(OH)2D. This is erroneous. The first two criteria are completely non-specific as to cause. We deal with the difficulties of identifying cause using response to treatments in our publication, but in essence, even if low vitamin D was the cause, an improvement may be elicited by calcium supplementation. As stated above, in epidemiological studies, cases of purported calcium deficiency rickets in fact consistently showed low mean 25-OHD. Raised (not non-deficient) serum 1,25(OH)2D was once considered an indication of dietary calcium deficiency but is now acknowledged also to occur in vitamin D deficiency (refs. in Mays & Brickley, 2022). Thirdly, we emphasized epidemiological over case studies because they are more suited to evaluating the importance of dietary calcium in rickets in communities, our prime interest. Nevertheless, Vlok et al. (2022: 11) reprimand us for this, arguing that case reports provide some of the strongest evidence for the role of dietary calcium. However, the three case studies they cite here comprise one where the causes of rickets were unclear and the authors highlight a need to investigate genetic factors (Afrand & Modaresi, 2014). Another (Sodri et al., 2021) describes a child excluded from adequate sunlight during a covid lockdown. The third (Davidovits et al., 1993) had adequate vitamin D but this was only measured after moving from Russia, with minimal exposure to sunlight/UVB, to sunny Israel. In no case was calcium intake (mg/day) before treatment accurately measured, although in one instance (Davidovits et al., 1993) it was "roughly estimated". We concluded that, at a community level, rickets is essentially an indication of low vitamin D status, but that occasionally, in very low calcium intake groups, dietary calcium deficiency may play a role by accentuating the need for vitamin D (Mays & Brickley, 2022). This is in tune with physiological expectations (Patel et al., 2016), and is in accord with recent reconsiderations of epidemiological evidence (e.g., Sempos et al., 2021). The authors have identified no conflicts of interest. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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)0.054
metaresearch head score (Gemma)0.177
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 score0.054
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0540.177
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0060.006
Science and technology studies0.0030.007
Scholarly communication0.0080.015
Open science0.0050.006
Research integrity0.0320.035
Insufficient payload (model declined to judge)0.0030.002

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 head0.079
GPT teacher head0.420
Teacher spread0.341 · 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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Citations2
Published2023
Admission routes1
Has abstractyes

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