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Record W4241092837 · doi:10.1002/pdi.2191

Sodium valproate

2018· article· en· W4241092837 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePractical Diabetes · 2018
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnticonvulsantSodium channelPharmacologySodium channel blockerGabapentinCarbamazepineEpilepsyValproic AcidNeuroscienceSodiumChemistryPsychologyPsychiatry

Abstract

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Sodium valproate is an anticonvulsant that was discovered by French researchers in 1963. It first came to market in the UK in 1972. It is known to be effective across a broad spectrum of epilepsies, and sodium valproate remains a cornerstone of epilepsy management despite the discovery of many newer agents. Peripheral neuropathy is present in up to one-third of people with diabetes mellitus, and symptoms commonly persist despite conventional treatments. Although not currently licensed for this indication, sodium valproate has been shown in a number of small scale trials to be of benefit in painful peripheral neuropathy. The broad anticonvulsant activity of sodium valproate results from its effects on a number of neuronal pathways. It has close molecular structure to the inhibitory neurotransmitter γ-aminobutyric acid (GABA), and thus has strong GABA-ergic effects. It is thought to potentiate GABA activity by inhibiting enzymes that catabolise GABA or by blocking GABA reuptake to glia and nerve endings (Figure 1). Valproate also reduces repetitive neuronal firing by blocking voltage gated Na+ channels. Sodium channels exist in the resting, open or inactivated state, and continually cycle through these states in turn. This drug slows the recycling process by binding to the channel protein in the inactivated step (Figure 1). Anti-convulsant medications more traditionally used in painful neuropathy (e.g. gabapentin and carbamazepine) exert their influence through similar mechanisms. Sodium valproate is also thought to blockade low voltage t-type calcium channels. These channels open in response to low levels of depolarisation and are potentially implicated in absence seizures. The usual maintenance dose of valproate is 1–2g per day. Patients should be started at 600mg per day and up-titrated in 150–300mg increments every three days. At therapeutic levels valproate is highly protein bound (90%) and the half-life is 9–16 hours. It is available as tablet (immediate release or enteric coated), syrup and intravenous preparations. Switching between preparations may have effects on the drug concentration; however, usually valproate can be switched on a 1:1 ratio between oral and intravenous administration. Valproate is readily absorbed in the gastrointestinal tract and reaches peak plasma concentrations within 4 hours for immediate release preparations. It is metabolised by the liver via three main mechanisms. Around 50% undergoes glucuronidation and is excreted in urine as valproate glucuronide. Mitochondrial beta- oxidation accounts for 40%, and the metabolites from this mechanism are responsible for the hepatotoxic effects of this drug. Finally, around 10% is oxidised by cytochrome P450 enzymes. This is an important source of medication interactions, most frequently encountered when co- prescribing with an enzyme inducing anti-epileptic medication (e.g. carbamazepine, and phenytoin). Important side effects of valproate include hepatotoxicity, pancreatitis and teratogenicity. Valproate should be avoided in patients with a personal or family history of liver disease. Significant hepatotoxicity (<1%) usually occurs within the first six months of therapy and liver function tests should be monitored during this period. Elevations in transaminases are usually transient, but the drug should be stopped if elevation is maintained or pro-thrombin time becomes impaired. Acute pancreatitis is a rare side effect (0.1%) but can occur at any time. The mechanism of this side effect is unclear, therefore other agents may be better first-line choices if there is a significant pancreatic history. Recent guidance from the Medicines and Healthcare products Regulatory Agency has suggested that due to teratogenicity valproate should be avoided in women of childbearing age unless a pregnancy prevention programme is in place. Other common side effects include drowsiness, tremor, hair loss, nausea and abdominal cramping. Weight gain is frequently reported when commencing valproate, a particular consideration if a patient with diabetes is overweight or obese. This has been specifically investigated in one double-blind, prospective controlled study. Patients were treated with valproate (n=68) or lamotrigine (n=65) and after 32 weeks there was a trend towards increased weight gain in the valproate group 5.8kg (±4.2kg) versus 0.5kg (±5.4kg).1 Valproate in the treatment of peripheral neuropathy was the subject of a Cochrane review in 2011.2 Only three studies were found to be of adequate quality and two of these specifically focused on diabetic peripheral neuropathy. Agrawal3 and Kochar4 both completed prospective, single-centre, randomised, double-blind, placebo-controlled trials of three months in duration. Both studies used a combination of McGill's pain questionnaire (SF-MPQ), visual analogue scale (VAS) and present pain index (PPI) to assess pain and reported mean changes as their primary outcome. Both studies are prone to overestimation of the association and the influence of random chance due to their small sample size, and this may account for their lack of consistency. Agrawal3 included 20 participants, with both type 1 and type 2 diabetes, taking 20mg/kg/day of valproate and 20 control participants taking placebo. There was a significant reduction in SF-MPQ, VAS and PPI between 0 and 3 months in the treatment group; however, when compared with the placebo group there was no significant change. Kochar4 had 21 participants with type 2 diabetes taking 500mg per day of valproate versus 18 taking placebo. In this trial, there was a significant reduction in SF-MPQ, VAS and PPI over the three months and when compared with the placebo group. On the basis of the above studies the Cochrane review concluded that there is limited evidence for valproate in neuropathy and it should not be considered a first-line agent for this indication. The American Association of Neurology conducted a similar review,5 also published in 2011, which does recommend the use of valproate in peripheral neuropathy. Included in this review were studies of shorter duration and the literature search pre-dated the most recent paper3 which showed no difference between valproate and placebo. Sodium valproate may have benefit for patients with diabetic peripheral neuropathy; however, there is a lack of high-quality data to support this and the completed studies reveal inconsistent results. Current guidelines support the use of other anti- epileptics as first-line and second- line medications, so the use of sodium valproate in peripheral neuropathy should be only considered in treatment resistant cases. Recently, valproate has also been found to promote histone acetylation through inhibition of HDAC enzymes. Histone acetylation has been linked to the pathogenesis of type 2 diabetes and diabetes-related complications, and it is also implicated in anti-tumour mechanisms. This may give rise to further indications for valproate in the future.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.055
GPT teacher head0.387
Teacher spread0.333 · 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