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Record W2781519520 · doi:10.14740/jem.v7i6.477

The Impact of Vitamin D Status on Preoperative Ultrasound Findings and Parathyroidectomy Outcomes in Patients With Primary Hyperparathyroidism

2017· article· en· W2781519520 on OpenAlexvenueno aff
Ashutosh Surya, Peter Taylor, Hussam Abusahmin, Onyebuchi Okosieme, Gautam Das

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2017
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineParathyroidectomyParathyroid hormonePrimary hyperparathyroidismVitamin D and neurologyHyperparathyroidismUrologyGastroenterologyInternal medicineAdenomavitamin D deficiencyAlkaline phosphataseCreatinineUltrasoundEndocrinologySurgeryCalciumRadiology

Abstract

fetched live from OpenAlex

Background: An impaired vitamin D status may present with an aggressive phenotype of primary hyperparathyroidism (PHPT). We evaluated the impact of 25-hydroxyvitamin D (25(OH)D3) levels on pre-operative ultrasound findings and outcomes following parathyroidectomy. Methods: Retrospective analysis of 81 patients who had parathyroidectomy for PHPT from January 2008 to October 2016. Patients were grouped according to their 25(OH)D3 levels (deficient (< 30 nmol/L), insufficient (? 30 and < 50 nmol/L), sufficient (? 50 nmol/L)). All patients had preoperative ultrasound scans (USS) and their pre-and post-operative biochemistry results and pathology reports were obtained from the hospital portal system. Results: Preoperatively, there was no statistically significant difference in parathyroid hormone (PTH) (P = 0.19) and adjusted calcium (P = 0.91) levels in different vitamin D subgroups. Parathyroidectomy led to significant improvement of PTH, adjusted calcium, phosphate, alkaline phosphatase and creatinine levels (P < 0.00001). USS did not show any significant difference in localizing single gland disease (SGD) in vitamin D subgroups (sensitivity 57.1%, 62.5% and 55.8% in deficient, insufficient and sufficient groups respectively) and the chances of finding a negative scan was similar in all groups (about 44.5%). USS could not detect any multiple gland disease (MGD). Inferiorly located glands were more involved especially when 25(OH)D3 levels were in the deficient or insufficient range. Postoperatively, patients had higher adenoma weight in vitamin D deficient and insufficient groups (1.42 ± 1.35 g and 1.11 ± 1.39 g) compared to sufficient group (0.58 ± 0.48 g) for SGD and trend was identical for the combined weight of glands in MGD (1.81 ± 2.79 g; 0.93 ± 0.58 g and 0.59 ± 0.33 g respectively). Regression analysis showed an inverse association of 25(OH)D3 level with adenoma weight for SGD (r = -0.006; P = 0.008) but not when multiple glands were resected (r = -0.0007; P = 0.54). Conclusions: Vitamin D does not influence biochemical severity of disease in PHPT. USS is a reliable tool for localization in SGD but ineffective for MGD and the sensitivity and specificity of scan results are not affected by vitamin D levels. Hypovitaminosis D leads to higher adenoma weight and an inverse relationship exists between the two for SGD. J Endocrinol Metab. 2017;7(6):172-177 doi: https://doi.org/10.14740/jem477w

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.292
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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