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The impact of vitamin D supplementation on peripheral neuropathy in a sample of Egyptian prediabetic individuals

2021· dataset· en· W4394161506 on OpenAlexaboutno aff
Mohamed Reda Halawa, Iman Ahmed, Nahla Fawzy Abouelezz, Nagwa Roushdy Mohamed, Naira Hany Abdelaziz Khalil, Laila Mahmoud Ali Hendawy

Bibliographic record

VenueFigshare · 2021
Typedataset
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPeripheral neuropathyPeripheralMedicineInternal medicineVitaminVitamin D and neurologySample (material)EndocrinologyDiabetes mellitusChemistry

Abstract

fetched live from OpenAlex

This project contains the following underlying data: · Data file 1: prediabetic patients without peripheral neuropathy and their descriptive ( age, sex, sun exposure, smoking, alcohol consumption, blood pressure, BMI) and laboratory data (serum 25-hydroxyvitamin D (25(OH)D) level, Vitamin D status (deficiency=3/ insufficiency= 2/ sufficiency =1)serum ionized calcium, phosphorus, parathormone, HbA1c, fasting blood glucose, 2 hour post 75g glucose, serum creatinine, thyroid function test and total lipid profile) · Data file 2: prediabetic with peripheral neuropathy and their descriptive ( age, sex, sun exposure, smoking, alcohol consumption, blood pressure, BMI , laboratory data (serum 25-hydroxyvitamin D (25(OH)D) level, Vitamin D status (deficiency=3/ insufficiency= 2/ sufficiency =1), serum ionized calcium, phosphorus, parathormone, HbA1c, fasting blood glucose, 2 hour post 75g glucose, serum creatinine, thyroid function test and total lipid profile), short-McGill Pain Questionnaire, clinical examination for neuropathy 10g monofilament (Monofilament testing is an inexpensive, easy-to-use, and portable test for assessing the loss of protective sensation (defined as a level of sensory deficit, where a patient can sustain an injury without recognizing any inciting trauma) and it is recommended by several practice guidelines to detect peripheral neuropathy in otherwise normal feet), tuning fork (Vibration sense testing using a 128-Hz tuning fork is a commonly used test in the diagnosis of dorsal horn dysfunction and polyneuropathy) and ankle reflex (best predictor for Diabetic peripheral neuropathy, screen for both sensory and motor deficit) and pinprick (assess perception of pain) before vitamin D supplementation. · Data file 3: prediabetic with peripheral neuropathy and their descriptive ( age, sex, sun exposure, smoking, alcohol consumption, blood pressure, BMI , laboratory data (serum 25-hydroxyvitamin D (25(OH)D) level, Vitamin D status (deficiency=3/ insufficiency= 2/ sufficiency =1), serum ionized calcium, phosphorus, parathormone, HbA1c, fasting blood glucose, 2 hour post 75g glucose, serum creatinine, thyroid funtion test and total lipid profile), short-McGill Pain Questionnaire, clinical examination for neuropathy 10g monofilament (Monofilament testing is an inexpensive, easy-to-use, and portable test for assessing the loss of protective sensation (defined as a level of sensory deficit, where a patient can sustain an injury without recognizing any inciting trauma) and it is recommended by several practice guidelines to detect peripheral neuropathy in otherwise normal feet), tuning fork (Vibration sense testing using a 128-Hz tuning fork is a commonly used test in the diagnosis of dorsal horn dysfunction and polyneuropathy) and ankle reflex (best predictor for Diabetic peripheral neuropathy, screen for both sensory and motor deficit) and pinprick (assess perception of pain) after Vitamin D supplementation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.048

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)0.0020.000

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 head0.030
GPT teacher head0.328
Teacher spread0.298 · 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
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

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